Hirokatsu KATAOKA

Hirokatsu KATAOKA, Ph.D.

Chief Senior Researcher, AIST, Japan.

Profile

Bio.

Hirokatsu Kataoka received his Ph.D. in engineering from Keio University in 2014. His research experience includes visiting scientist at Technical University of Munich (TUM) and JSPS Fellow (PD) at the University of Tokyo. Currently, he is a Chief Senior Researcher at National Institute of Advanced Industrial Science and Technology (AIST). He also leads the cvpaper.challenge which conducts comprehensive survey and collaborative research in the field of computer vision and related academic fields. He has contributed to develop a strong baseline for video recognition in spatiotemporal 3D ResNets, and establish a novel learning strategy in Formula-Driven Supervised Learning (FDSL). He has received ACCV 2020 Best Paper Honorable Mention Award, AIST 2019 Best Paper Award, and ECCV 2016 Workshop Brave New Idea, and was featured in MIT Technology Review.

  • Latest Professional Experience

    Visiting Researcher, Visual Geometry Group, University of Oxford (Oxford VGG)
    (September, 2024 - )

  • Latest Education

    Ph.D. in Engineering, Keio University
    (April 2011 - March 2014)

What’s new?

  • Mar 06, 2025

    Our FDSL pre-training for microfossil radiolarians has been accepted to Scientific Reports [Link], and published from AIST press release [Link].

  • Dec 21, 2024

    Our paper (Audio FDSL) has been accepted to ICASSP 2025.

  • Sep 27, 2024

    Two papers (Weakly Supervised Segmentation, Real-world Super Resolution) have been accepted to ACCV 2024.

  • Jul 01, 2024

    Three papers (Super Resolution, Multimodal & Limited Pre-training) have been accepted to ECCV 2024.

  • Jun 18, 2024

    We have organized CVPR 2024 LIMIT Workshop [Link], and I served the opening remarks talk [Link].

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Projects

Selected Papers

  • Selected Papers Top-Rank

    Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota, “Replacing Labeled Real-Image Datasets with Auto-Generated Contours”, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.(Acceptance rate: 25.3%; 1st place in Computer Vision at Google Scholar Metrics)

  • Selected Papers Top-Rank

    Ryosuke Yamada*, Hirokatsu Kataoka*, Naoya Chiba, Yukiyasu Domae Tetsuya Ogata, “Point Cloud Pre-training with Natural 3D Structures”, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.(Acceptance rate: 25.3%; 1st place in Computer Vision at Google Scholar Metrics; * indicates equal contribution)

  • Selected Papers Top-Rank

    Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh, “Pre-training without Natural Images”, International Journal of Computer Vision (IJCV), 2022. (IF: 7.410)

  • Selected Papers Top-Rank

    Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh, “Can Vision Transformers Learn without Natural Images?,” AAAI Conference on Artificial Intelligence (AAAI), 2022.

  • Selected Papers Top-Rank

    Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh, “Pre-training without Natural Images”, Asian Conference on Computer Vision (ACCV), 2020. (Best Paper Honorable Mention Award; Oral Presentation; 3 Strong Accepts)

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Research Team

21 Total

RA（Ph.D.）

RA（Master）

Intern

Alumni

Affiliation