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Rio Yokota

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SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning

Sep 29, 2023
Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka

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Pre-training Vision Transformers with Very Limited Synthesized Images

Jul 31, 2023
Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez Noriega, Rio Yokota, Nakamasa Inoue

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ASDL: A Unified Interface for Gradient Preconditioning in PyTorch

May 08, 2023
Kazuki Osawa, Satoki Ishikawa, Rio Yokota, Shigang Li, Torsten Hoefler

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Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves

Mar 02, 2023
Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota

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Empirical Study on Optimizer Selection for Out-of-Distribution Generalization

Nov 18, 2022
Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas

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Informative Sample-Aware Proxy for Deep Metric Learning

Nov 18, 2022
Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota

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Replacing Labeled Real-image Datasets with Auto-generated Contours

Jun 18, 2022
Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota

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OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching

Sep 09, 2021
Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota

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RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation

Apr 01, 2021
Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani

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Epipolar-Guided Deep Object Matching for Scene Change Detection

Jul 30, 2020
Kento Doi, Ryuhei Hamaguchi, Shun Iwase, Rio Yokota, Yutaka Matsuo, Ken Sakurada

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