Hirokatsu KATAOKA

Hirokatsu KATAOKA, Ph.D.

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 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

    Senior Researcher, National Institute of Advanced Industrial Science and Technology (AIST)
    (October 2020 - Present)

  • Latest Education

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

What’s new?

  • Feb 28, 2023

    Two papers were accepted to CVPR 2023.

  • Feb 21, 2023

    Keynote Talk at IW-FCV 2023. [Slide]

  • Feb 01, 2023

    Invited Talk at MIT. [Slide]

  • Jan 31, 2023

    Our paper (Question Generation in Point Clouds) was accepted to ICRA 2023.

  • Jul 29, 2022

    3D-ResNet is listed as Most Cited Paper within 5 Years in CVPR (76th out of 6000+ papers) [Link]

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)

Affiliation