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Sato Lab
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The lab studies computer vision to understand human behavior and the appearance of objects.

AboutAbout the lab
Understanding human behavior and the appearance of objects with computers
The lab specializes in computer vision, studying the measurement and understanding of human behavior, as well as the modeling and understanding of the appearance of objects and scenes.
Through technologies that recognize and understand images and video, the lab aims to make the interaction between people and information systems in the real world more advanced.
Together with the Sugano Lab, the lab carries out international joint research with universities and research institutions in Japan and abroad.
For graduate studies, the lab is affiliated with the Department of Information and Communication Engineering in the Graduate School of Information Science and Technology, and the Emerging Design and Informatics Course in the Graduate School of Interdisciplinary Information Studies.
Key terms
- Computer Vision
- The field of technology that enables computers to understand the objects and human movements captured in camera images and video
- Appearance
- How an object looks. It depends not only on shape but also on how light falls on the object and the reflectance properties of its surface
- Tacit Knowledge
- Knowledge, such as experience and knacks, that is difficult to put into words or manuals
NewsLab news
Paper accepted at NeurIPS 2026
Paper accepted at CoRL 2026
Paper accepted at EMNLP 2026 (Main)
Paper accepted at ECCV 2026
Ego-Exo4D, co-authored by Prof. Sato among others, received the EgoVis 2024/2025 Distinguished Paper Award
ResearchResearch themes
In computer vision, the field that deals with recognizing and understanding images and video, the lab works on measuring and understanding human behavior, and on modeling and understanding the appearance of objects and scenes. It also pursues research on using AI to capture the tacit knowledge of experimental work, and international joint research on human-centered vision and media technologies.
*Illustrative imageHuman-Centered Vision and Media Technologies
Together with the Sugano Lab, the lab is building a network of international joint research on human-centered vision and media technologies with the National Institute of Informatics, the University of Bristol in the UK, Carnegie Mellon University in the US, and the University of Amsterdam in the Netherlands.
*Illustrative imageAI for Capturing the Tacit Knowledge of Experimental Work
In life science research settings, the lab aims to efficiently accumulate and pass on the know-how of experimental work. It builds large-scale datasets of experimental work and develops AI technologies that acquire the tacit knowledge involved in that work.
*Illustrative imageSensing and Understanding Human Behavior
The lab develops a variety of computer vision technologies for understanding a wide range of human motions and behaviors by computer, such as who is where, body and hand gestures, facial expressions, and where a person is looking.
*Illustrative imageReflectance Analysis for Interpreting Light
Using the distribution of light recorded in an image as a clue, the lab estimates what kind of light source illuminates the scene, and what shape and reflectance properties the objects in it have. It works on modeling the appearance of objects under arbitrary light sources, and on face recognition that is robust to changes in illumination.
MembersFaculty
The lab's members consist of faculty, project researchers, secretaries, research advisors, research fellows, collaborative researchers, international collaborative researchers, and doctoral and master's students.As of 2026
- ProfessorYoichi SatoPublications ↗
- Assistant ProfessorRisa Shinoda
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Bi telecentric lens” Laserlicht / CC BY-SA 4.0 (cropped)
- Human-Centered Vision and Media Technologies: “Ceratotherium-simum-simum-combined-overlay” MartinThoma / CC0 (cropped)
- AI for Capturing the Tacit Knowledge of Experimental Work: “Pipetting (2)” Diane A. Reid (Photographer) / Public domain (cropped)
- Sensing and Understanding Human Behavior: “Activemarker2” Hipocrite at English Wikipedia / Public domain (cropped)
- Reflectance Analysis for Interpreting Light: “Raytraced red sphere with photon mapping” Prateek Karandikar / CC BY-SA 4.0 (cropped)
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