Rchr
J-GLOBAL ID：200901001514017250   Update date: Sep. 23, 2024

Okatani Takayuki

オカタニ タカユキ | Okatani Takayuki
Affiliation and department：
Tohoku University Graduate School of Information Sciences Department of System Information Sciences Intelligent Robotics Image Analysis

About Tohoku University Graduate School of Information Sciences Department of System Information Sciences Intelligent Robotics Image Analysis


Job title： Professor
Other affiliations (1)：
  • Tohoku University
Homepage URL  (2)： http://www.vision.is.tohoku.ac.jp ,  http://www.vision.is.tohoku.ac.jp/us/home/
Research field  (2)： Intelligent robotics ,  Perceptual information processing
Research keywords  (5)： 多視点幾何 ,  画像理解 ,  画像認識 ,  深層学習 ,  コンピュータビジョン
Research theme for competitive and other funds  (25)：
  • 2020 - 2025 深奥質感のマルチモーダル深層モデルの確立
  • 2019 - 2023 深層学習がもたらすパラダイムシフトを加速するネットワーク設計理論の構築
  • 2015 - 2020 Deep Representation Learning of Shitsukan Using Vision and Language
  • 2016 - 2019 Supporting performance-aware programming with machine learning techniques
  • 2013 - 2016 Spatio-Temporal City Modeling for Visualizing Damages of and Recoveries and Reconstruction from a City-scale Disaster
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Papers (166)：
  • Tatsuro Yamane, Pang-jo Chun, Ji Dang, Takayuki Okatani. Deep learning-based bridge damage cause estimation from multiple images using visual question answering. Structure and Infrastructure Engineering. 2024. 1-14
  • Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani. Unsupervised domain adaptation for semantic segmentation via cross-region alignment. Computer Vision and Image Understanding. 2023. 234
  • Li Sun, Ping Wang, Liuan Wang, Jun Sun, Takayuki Okatani. Zero-shot temporal event localisation: Label-free, training-free, domain-free. IET Computer Vision. 2023. 17. 5. 599-613
  • Yanjie Zhu, Hidehiko Sekiya, Takayuki Okatani, Masayuki Tai, Shogo Morichika. B-CNN: a deep learning method for accelerometer-based fatigue cracks monitoring system. Journal of Civil Structural Health Monitoring. 2023. 13. 4-5. 947-959
  • Shuang Liu, Masanori Suganuma, Takayuki Okatani. Symmetry-aware Neural Architecture for Embodied Visual Navigation. International Journal of Computer Vision. 2023
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MISC (74)：
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Books (7)：
  • 深層学習
    講談社 2022 ISBN:9784065133323
  • 質感の科学 -知覚・認知メカニズムと分析・表現の技術-
    朝倉書店 2016
  • 深層学習
    近代科学社 2015
  • 深層学習(機械学習プロフェッショナルシリーズ)
    講談社 2015
  • コンピュータ工学入門
    コロナ社 2015
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Education (2)：
  • - 1999 The University of Tokyo Graduate School, Division of Engineering 計数工学
  • - 1994 The University of Tokyo Faculty of Engineering 計数工
Professional career (1)：
  • Ph.D (The University of Tokyo)
Work history (2)：
  • 2016/10 - 現在 理化学研究所革新知能統合研究センター
  • 2003/11 - 2004/10 Center of Advanced Information Processing, Rutgers University
Awards (11)：
  • 2017/08 - 画像の認識・理解シンポジウム実行委員会 画像の認識・理解シンポジウム(MIRU)2017優秀論文賞
  • 2016/10/30 - PACLIC2016 award committee Best paper honorable mention Recognizing Open-Vocabulary Relations between Objects in Images
  • 2016/08/03 - MIRU実行委員会 MIRU優秀発表賞 Learning to Describe Product Images from Noisy Online Data
  • 2015/08/01 - MIRU運営委員会 MIRU優秀発表賞 Joint Clothing Detection
  • 2015/08/01 - MIRU運営委員会 MIRUフロンティア賞 Scene Change Detection from a Pair of Roughly Registered Images Based on CNN Features and Superpixel Segmentation
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Association Membership(s) (4)：
計測自動制御学会 ,  電子情報通信学会 ,  情報処理学会 ,  IEEE
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