Sato Laboratory/Sugano Laboratory, UTokyo-IIS

Our group consists of two independent research laboratories (Y. Sato Lab. and Sugano Lab.) working closely together with a focus on computer vision.

Photo by hao wang on Unsplash

News

Three papers have been accepted to ECCV 2022.

Jul 4, 2022 1 min read

Featured Publications

CompNVS: Novel View Synthesis with Scene Completion

We introduce a scalable framework for novel view synthesis (NVS) from RGB-D images with largely incomplete scene coverage. While …

Zuoyue Li, Tianxing Fang, Zhenqiang Li, Zhaopeng Cui, Yoichi Sato, Marc Pollefeys, Martin R. Oswald

CompNVS: Novel View Synthesis with Scene Completion

Compound Prototype Matching for Few-shot Action Recognition

Few-shot action recognition aims to recognize novel action classes using only a small number of labeled training samples. In this work, …

Yifei Huang, Lijin Yang, Yoichi Sato

Domain Adaptive Hand Keypoint and Pixel Localization in the Wild

We aim to improve the performance of regressing hand keypoints and segmenting pixel-level hand masks under new imaging conditions …

Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris Kitani, Yoichi Sato

Surgical Skill Assessment via Video Semantic Aggregation

Automated video-based assessment of surgical skills is a promising task in assisting young surgical trainees, especially in …

Zhenqiang Li, Ling Gu, Weimin Wang, Ryosuke Nakamura, Yoichi Sato

Semantic Image Segmentation by Dynamic Discriminative Prototypes

Semantic segmentation achieves significant success through large-scale training data. Meanwhile, few-shot semantic segmentation was …

Kaipeng Zhang, Yoichi Sato

Semantic Image Segmentation by Dynamic Discriminative Prototypes

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