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.]

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]