FDDB
Formula-Driven DataBase Group
Projects
Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns
Hirokatsu Kataoka, Eisuke Yamagata, Kensho Hara, Ryusuke Hayashi, Nakamasa Inoue
WACV 2022
[Paper] [Project]
Formula-driven Supervised Learning with Recursive Tiling Patterns
Hirokatsu Kataoka, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Yutaka Satoh
ICCV 2021 WS
[Paper] [Project]
MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition
Ryosuke Yamada, Ryo Takahashi, Ryota Suzuki, Akio Nakamura, Yusuke Yoshiyasu, Ryusuke Sagawa, Hirokatsu Kataoka
IROS 2021
[Paper] [Project]
Can Vision Transformers Learn without Natural Images?
Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue
arXiv pre-print 2021
[Paper] [Project] [Code] [Dataset]
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka
ICPR 2020
[Paper] [YouTube]
Pre-training without Natural Images
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
ACCV 2020 Best Paper Honorable Mention Award
[Paper] [Project] [Code] [Dataset] [Oral] [Poster] [Supp. Mat.]
Invited Talks
自然法則に基づく深層学習
Hirokatsu Kataoka
NVIDIA HPC Week - HPC + Machine Learning
[Link] [Slide]
限られたデータからの深層学習
Nakamasa Inoue
MIRU 2021
[Link] [Slide]
Pre-training without Natural Images
Hirokatsu Kataoka
SNL 2021
[Link] [Slide]
Group
Leader
Hirokatsu Kataoka
Adviser
Yutaka Satoh
Nakamasa Inoue
Akio Nakamura
Eisaku Maeda
Members
Ryota Suzuki
Kodai Nakashima
Ryo Nakamura
Ryosuke Yamada
Ryo Takahashi
Eisuke Yamagata
Motoshi Abe
Alumni
Kazushige Okayasu
Asato Matsumoto
Wataru Kudo

Acknowledgement