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Yamasaki Lab
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A computer vision lab that uses AI to interpret images, video, and language.
AboutAbout the lab
Multimodal data, from fundamentals to applications.
The Yamasaki Lab conducts research on artificial intelligence, computer vision, and machine learning.
The lab works with many kinds of data, including images, video, audio, natural language, metadata, and graphs.
It covers a wide range of work from fundamentals to applications in the fields of pattern recognition and multimedia.
The lab has many joint research projects with companies, universities, and research institutes in Japan and abroad, and it also puts effort into making its research results usable in society.
Key terms
- Computer Vision
- Technology that enables computers to read what appears in images and videos and what is happening in them
- Pattern Recognition
- Technology that finds fixed "patterns" in data and determines what they are
- Multimodal
- Handling different types of data, such as images, audio, and text, together
NewsLab news
A lab paper was accepted to the EACL 2026 Industry Track
Prof. Yamasaki received the FY2025 Kenjiro Takayanagi Achievement Award
A lab presentation received the Encouragement Award at the Technical Research Presentation of the Urban Infrastructure Technology Promotion Council
A lab paper was accepted to IEEE TMM
A lab paper was accepted as a demo paper at WACV 2026
ResearchResearch themes
Using multimodal data such as images, video, audio, natural language, metadata, and graphs, the lab studies a wide range of fields, including artificial intelligence, multimedia, computer vision, pattern recognition, and machine learning. It has many joint research projects with companies, universities, and research institutes in Japan and abroad, and it also puts effort into the social implementation of its research results.
*Illustrative imageAttractiveness Engineering
The lab focuses on the "attractiveness" and "empathy" that people feel toward other people, services, and products. It analyzes why people find something attractive, and works on predicting attractiveness, visualizing the factors behind it, and finding ways to increase it. Target areas include presentations, advertising, and recommendation.
*Illustrative imageFundamental Research in Machine Learning and Pattern Recognition
The lab studies the foundations and theory of machine learning and pattern recognition. Beyond improving existing techniques, it aims to explore new ideas, and it also works on releasing source code and datasets.
*Illustrative imageReal-World Applications
The lab also works on real-world applications, such as the design of IoT sensors, monitoring support and video analysis in nurseries and care facilities, sensing how comfortable a property is to live in, and support for counseling and education.
MembersFaculty
The members of the Yamasaki Lab include faculty, project specialists, researchers, PhD and master's students, undergraduate thesis students, and research students and special auditing students from abroad.As of 2026
- ProfessorToshihiko YamasakiPublications ↗
- Assistant ProfessorJeonghun BaekPublications ↗
- Project Assistant ProfessorShengzhou YiPublications ↗
- Project Assistant ProfessorKaede Shiohara
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
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On a 4-point scale, ● marks where students' answers fall
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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: “Artificial Neural Network with Chip” mikemacmarketing / photo on flickr / CC BY 2.0 (cropped)
- Attractiveness Engineering: “Gfp-lecture-hall” Yinan Chen / Public domain (cropped)
- Fundamental Research in Machine Learning and Pattern Recognition: “Neural network with dark background” DancingPhilosopher / CC BY-SA 4.0 (cropped)
- Real-World Applications: “Ceiling surveillance camera (Unsplash)” Alex Knight agkdesign / CC0 (cropped)
- Related lab (廣瀬・
夏秋研究室): “Radar image of the Danube Delta ESA223752” European Space Agency / CC BY-SA 3.0 igo (cropped) - Related lab (峯松・齋藤研究室): “Long-window reassigned spectrogram of speech” Kelly Fitz / CC BY-SA 3.0 (cropped)
- Related lab (鶴岡研究室): “Othello-Standard-Board” Zen ar218 / Public domain (cropped)
- Related lab (伊庭研究室): “The flock of starlings acting as a swarm. - geograph.org.uk - 124593” John Holmes / CC BY-SA 2.0 (cropped)
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