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检索条件"机构=Computer Vision Software Development"
11 条 记 录,以下是1-10 订阅
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Quality Ranking for Synthetically Generated Images
Quality Ranking for Synthetically Generated Images
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2023 IEEE International Conference on Big Data, BigData 2023
作者: Sekmen, Ali Bilgin, Bahadir Sereff, Guy Tennessee State University Department of Computer Science NashvilleTN37209 United States Amazon Robotics Ai Computer Vision Software Development NashvilleTN37209 United States
This paper proposes a novel metric for evaluating the quality of images of the same category generated by a synthetic image generator. The proposed method assumes that the points representing synthetic images in a fea... 详细信息
来源: 评论
CodaLab Competitions An Open Source Platform to Organize Scientific Challenges
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Journal of Machine Learning Research 2023年 第1期24卷 1-6页
作者: Pavão, Adrien Guyon, Isabelle Letournel, Anne-Catherine Tran, Dinh-Tuan Baró, Xavier Escalante, Hugo Jair Escalera, Sergio Thomas, Tyler Xu, Zhen LISN CNRS Université Paris-Saclay France ChaLearn United States Universitat Oberta de Catalunya Spain Instituto Nacional de Astrofísica Óptica y Electrónica Mexico Universitat de Barcelona and Computer Vision Center Spain Tier0 Software Development LLC United States 4Paradigm China
CodaLab Competitions is an open source web platform designed to help data scientists and research teams to crowd-source the resolution of machine learning problems through the organization of competitions, also called... 详细信息
来源: 评论
Quality Ranking for Synthetically Generated Images
Quality Ranking for Synthetically Generated Images
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IEEE International Conference on Big Data
作者: Ali Sekmen Bahadir Bilgin Guy Sereff Department of Computer Science Tennessee State University Nashville TN Computer Vision Software Development Amazon Robotics AI Nashville TN
This paper proposes a novel metric for evaluating the quality of images of the same category generated by a synthetic image generator. The proposed method assumes that the points representing synthetic images in a fea...
来源: 评论
Student-Teacher Feature Pyramid Matching for Anomaly Detection  32
Student-Teacher Feature Pyramid Matching for Anomaly Detecti...
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32nd British Machine vision Conference, BMVC 2021
作者: Wang, Guodong Han, Shumin Ding, Errui Huang, Di State Key Laboratory of Software Development Environment Beihang University Beijing China School of Computer Science and Engineering Beihang University Beijing China Department of Computer Vision Technology Baidu Inc. Beijing China
Anomaly detection is a challenging task and usually formulated as an one-class learning problem for the unexpectedness of anomalies. This paper proposes a simple yet powerful approach to this issue, which is implement... 详细信息
来源: 评论
CodaLab competitions: an open source platform to organize scientific challenges
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The Journal of Machine Learning Research 2023年 第1期24卷 9525-9530页
作者: Adrien Pavão Isabelle Guyon Anne-Catherine Letournel Dinh-Tuan Tran Xavier Baró Hugo Jair Escalante Sergio Escalera Tyler Thomas Zhen Xu LISN CNRS Université Paris-Saclay France and ChaLearn LISN CNRS Université Paris-Saclay France Universitat Oberta de Catalunya Spain ChaLearn Instituto Nacional de Astrofísica Óptica y Electrónica Mexico ChaLearn Universitat de Barcelona and Computer Vision Center Spain Tier0 Software Development LLC 4Paradigm China
CodaLab Competitions is an open source web platform designed to help data scientists and research teams to crowd-source the resolution of machine learning problems through the organization of competitions, also called... 详细信息
来源: 评论
Student-teacher feature pyramid matching for anomaly detection
arXiv
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arXiv 2021年
作者: Wang, Guodong Han, Shumin Ding, Errui Huang, Di State Key Laboratory of Software Development Environment Beihang University Beijing China School of Computer Science and Engineering Beihang University Beijing China Department of Computer Vision Technology Baidu Inc. Beijing China
Anomaly detection is a challenging task and usually formulated as an one-class learning problem for the unexpectedness of anomalies. This paper proposes a simple yet powerful approach to this issue, which is implement... 详细信息
来源: 评论
Many-to-one distribution learning and K-nearest neighbor smoothing for thoracic disease identification
arXiv
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arXiv 2021年
作者: Zhou, Yi Huang, Lei Zhou, Tianfei Shao, Ling School of Computer Science and Engineering Southeast University Nanjing China State Key Laboratory of Software Development Environment Beihang University Beijing China Computer Vision Laboratory ETH Zurich Switzerland Inception Institute of Artificial Intelligence Abu Dhabi United Arab Emirates
Chest X-rays are an important and accessible clinical imaging tool for the detection of many thoracic diseases. Over the past decade, deep learning, with a focus on the convolutional neural network (CNN), has become t... 详细信息
来源: 评论
Temporal transformer networks with self-supervision for action recognition
arXiv
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arXiv 2021年
作者: Zhang, Yongkang Li, Jun Wu, Guoming Zhang, Han Shi, Zhiping Liu, Zhaoxun Wu, Zizhang Jiang, Na The Information Engineering College Capital Normal University Beijing100048 China The State Key Lab of Software Development Environment School of Computer Science and Engineering Beihang University Beijing100191 China The Computer Vision Perception Department of ZongMu Technology Shanghai201203 China
In recent years, 2D Convolutional Networks-based video action recognition has encouragingly gained wide popularity;However, constrained by the lack of long-range non-linear temporal relation modeling and reverse motio... 详细信息
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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016
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Human genomics 2016年 第1期10 Suppl 1卷 12页
作者: A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch
O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Steven... 详细信息
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Adaptability of K-L expansion technique for ambiguous face image retrieval
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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 1996年 第10期79卷 35-46页
作者: Oda, M Akamatsu, S Fukamachi, H ATR Human Information Processing Laboratories Kyoto Japan 619-02 Shigeru Akamatsu received his B.E. M.E. and Dr. of Eng. degrees in Mathematical Enginwring and Instrumentation Physics in 1975 1977 and 1994 respectively from the University of Tokyo Japan. In 1977 he joined the Electrical Communications Laboratories Nippon Telegraph and Telephone Public Corporation Yokosuka Japan. From 1977 through 1985 he was engaged in the research and development of optical character recognition systems for handwritten Chmese characters. During the academic year 1985-86 he was a Visiting Researcher at the University of California Irvine California U.S.A. Until 1992 he was a Senior Research Engineer Supervisor at W Human Interface Laboratories and conducted research on human image recognition with a special interest in face recognition. Since 1992 he has been with ATR Human Information Processing Research Laboratories Kyoto Japan where he is currently Head of Department 2. His research interests include computational and cognitive studies on high-level vision with a special interest in facial information processing by man and computer. He is a member of the Institute of Electronics Information and Communication Engineers of Japan the Information Processing Society of Japan ACM and the IEEE Computer Society. Hidm Fukamachi received his B.E. degree in Image Technology from the Tokyo Institute of Polytechnics in 1990. He joined NTT Software Corp. in 1990 where he was engaged in the development of image processing software. Since 1993 he has been with ATR Human Information Processing Research Laboratories.
Some facial images are not necessarily clear images in the human brain. However, it can be easily judged whether a face matches the image in our mind;this is true even when the drawing or the expression of the target ... 详细信息
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