Ryu Tadokoro

According to our database, Ryu Tadokoro authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Bayesian Approach to Segmentation with Noisy Labels via Spatially Correlated Distributions.

Ryu Tadokoro, Tsukasa Takagi, Shin-ichi Maeda

Trans. Mach. Learn. Res., 2026

2025

Segmentation with Noisy Labels via Spatially Correlated Distributions.

Ryu Tadokoro, Tsukasa Takagi, Shin-ichi Maeda

CoRR, April, 2025

2024

Masked Structural Point Cloud Modeling to Learning 3D Representation.

Ryosuke Yamada, Ryu Tadokoro, Yue Qiu, Hirokatsu Kataoka, Yutaka Satoh

IEEE Access, 2024

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection.

Ryo Nakamura, Ryu Tadokoro, Eisuke Yamagata, Yusuke Kondo, Kensho Hara, Hirokatsu Kataoka, Nakamasa Inoue

Proceedings of the IEEE International Conference on Acoustics, 2024

Rethinking Image Super-Resolution from Training Data Perspectives.

Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki

Proceedings of the Computer Vision - ECCV 2024, 2024

Scaling Backwards: Minimal Synthetic Pre-Training?

Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation.

Ryu Tadokoro, Ryosuke Yamada, Hirokatsu Kataoka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation.

Ryu Tadokoro, Ryosuke Yamada, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka

Proceedings of the 34th British Machine Vision Conference 2023, 2023