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

    Chief Senior Researcher, National Institute of Advanced Industrial Science and Technology (AIST)
    (April 2023 - Present)

  • Latest Education

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

What’s new?

  • Sep 27, 2023

    Two papers (DataComp, Document Dataset) have been accepted to ICCV 2023 Workshop.

  • Sep 14, 2023

    Our paper (FDSL in 3D medical image segmentation) has been accepted to BMVC 2023 Oral.

  • Sep 01, 2023

    3D-ResNet is listed as Most Cited Paper within 5 Years in CVPR (47th out of 8800+ papers) [Link]

  • Aug 04, 2023

    Our paper (Diffusion-based Texture Synthesis) has been accepted to SIGGRAPH Asia 2023.

  • Jul 14, 2023

    Three papers (FDSL, Adversarial Examples) have been accepted to ICCV 2023.

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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

14 Total

RA（Ph.D.）

  • Kodai Nakashima / 中嶋 航大

  • Ryo Nakamura / 中村 凌

  • Ryosuke Yamada / 山田 亮佑

  • Risa Shinoda / 篠田 理沙

  • Yanjun Sun

    （ w/ Yue Qiu ）

  • Go Ohtani / 大谷 豪

RA（Master）

  • Ryo Hayamizu / 速水 亮

  • Shuya Takahashi / 髙橋 秀弥

  • Erika Mori / 森 江梨花

    （ w/ Yue Qiu ）

  • Daichi Otsuka / 大塚 大地

    （ w/ AL Lab ）

Intern

  • Ryu Tadokoro / 田所 龍

  • Shogo Iwakata / 岩片 彰吾

    （ w/ Qiu Yue ）

  • Takumi Fukuzawa / 福沢 匠

    （ w/ Kensho Hara ）

  • Fumiya Uchiyama / 内山 史也

    （ w/ Yue Qiu ）

Affiliation