Rchr
J-GLOBAL ID:200901085571008223   Update date: Feb. 01, 2024

Ishikawa Hiroshi

イシカワ ヒロシ | Ishikawa Hiroshi
Affiliation and department:
Job title: Professor
Homepage URL  (1): http://hi.cs.waseda.ac.jp
Research field  (1): Intelligent robotics
Research keywords  (2): Artificial Intelligence, Deep Learning ,  Computer Vision, Discrete Optimization, Pattern Analysis
Research theme for competitive and other funds  (8):
  • 2020 - 2025 画像空間と画像変換学習システムの構造
  • 2014 - 2019 Mathematical Foundations of Multidisciplinary Computational Anatomy
  • 2013 - 2016 Analysis of geological activities of asteroids using high definition shape models
  • 2013 - 2015 Enhanced Generalizability by Structural Model Learning
  • 2012 - 2015 Approximate optimization and learning of higher-order energy
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Papers (73):
Books (5):
  • "Graph Cuts-Combinatorial Optimization in Vision" (Chapter 2), Olivier Lezoray and Leo Grady ed."Image Processing and Analysis with Graphs: Theory and Practice"
    CRC Press 2012 ISBN:9781439855072
  • 実践 医用画像解析ハンドブック
    オーム社 2012
  • "Optimizing Multi-Label MRFs with Convex and Truncated Convex Priors" (Chapter 4), Andrew Blake, Pushmeet Kohli, and Carsten Rother ed. "Markov Random Fields for Vision and Image Processing"
    MIT Press 2011 ISBN:9780262015776
  • 「グラフカット」(第2章, pp. 39-74) 斎藤英雄・八木康史(編)「コンピュータビジョン最先端ガイド1: Level Set, Graph Cut, Particle Filter, Tensor, AdaBoost」
    アドコム・メディア 2008 ISBN:9784915851346
  • “Local Feature Selection and Global Energy Optimization in Stereo,” (Chapter 22, pp. 411-430), Rustam Stolkin ed. "Scene Reconstruction, Pose Estimation and Tracking"
    I-Tech Education and Publishing 2007
Lectures and oral presentations  (33):
  • The Future of Computer Graphics in the Age of AI and Social Media
    (Computer Graphics International 2019)
  • Higher-Order Random Fields for Image Segmentation
    (Computer Graphics International 2019)
  • Structured Prediction by Fully Convolutional Deep Neural Networks
    (Irish Machine Vision and Image Processing Conference 2018)
  • Image Completion by CNN with Global and Local Consistency
    (SIAM Conference on Imaging Science 2018)
  • Image Transformation with Deep Learning
    (Seventh Symposium on Biometrics, Recognition and Authentication 2017)
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Education (3):
  • - 2000 New York University Computer Science
  • - 1993 Kyoto University Graduate School, Division of Natural Science Mathematics
  • - 1991 Kyoto University Faculty of Science Mathematics
Professional career (2):
  • Ph.D. in Computer Science (New York University (USA))
  • Master of Science (Kyoto University)
Work history (7):
  • 2016 - 現在 National Institute of Informatics Visiting Professor
  • 2010 - 現在 Waseda University Department of Computer Science and Engineering Professor
  • 2009 - 2013 JST PRESTO (Sakigake) Researcher
  • 2010 - 2010 Nagoya City University Department of Information and Biological Sciences Professor
  • 2005 - 2010 Nagoya City University Department of Information and Biological Sciences Asscociate Professor
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Committee career (44):
  • 2020 - 2020 European Conference on Computer Vision (ECCV2020) Area Chair
  • 2018 - 2020 Asian Conference on Computer Vision (ACCV2020) Program Chair
  • 2016 - 2020 IPSJ SIG-CVIM: Computer Vision and Image Media Managing Member
  • 2016 - 2020 IPSJ Transactions on Computer Vision Applications Associate Editor in Chief
  • 2019 - 2019 IEEE International Conference on Computer Vision (ICCV2019) Area Chair
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Awards (6):
  • 2019/06 - The Institute of Electronics, Information and Communication Engineers 75th Annual IEICE Best Paper Award
  • 2016/10 - Ministry of Economy, Trade and Industry Innovative Technologies 2016 Special Prize for Culture
  • 2009/07 - MIRU Nagao Award (Best Paper Award)
  • 2006/12 - IEEE Computer Society Japan Chapter Young Author Award
  • 2006/07 - MIRU2006 Excellent Paper Award
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Association Membership(s) (4):
ACM ,  IEEE ,  The Institute of Electronics, Information and Communication Engineers ,  Information Processing Society of Japan
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