Yoichi Sato is affiliated with the University of Tokyo in Japan. Their research spans multiple fields within computer science and engineering, with a primary focus on computer vision and pattern recognition. This includes subfields such as artificial intelligence, human-computer interaction, mechanical engineering, and control and systems engineering.
The main topics addressed in their work include human pose and action recognition, multimodal machine learning applications, anomaly detection techniques and applications, hand gesture recognition systems, advanced thermodynamic systems and engines, video surveillance and tracking methods, and robot manipulation and learning.
Recent publications by Yoichi Sato include:
Frequent coauthors collaborating with Sato include Ryosuke Furuta, Yifei Huang, Takehiko Ohkawa, and Zhenqiang Li. These collaborations reflect ongoing work within their main research areas.
Publications are often featured in venues such as arXiv (Cornell University), Cryogenics, IEEE Access, the International Journal of Computer Vision, and the Journal of Astronomical Telescopes Instruments and Systems.
Throughout their career, Yoichi Sato has contributed extensively to the body of knowledge in their areas of expertise, with numerous publications emphasizing both theoretical and applied aspects of computer vision and related engineering disciplines.
Recognition of their professional contributions includes being named a Society for Information Display Fellow in 2011.
Yoichi Sato;Mark D. Wheeler;Katsushi Ikeuchi
Tetsu Matsukawa;Takahiro Okabe;Einoshin Suzuki;Yoichi Sato
Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis
Imari Sato;Yoichi Sato;Katsushi Ikeuchi
K. Oka;Y. Sato;H. Koike
Yusuke Sugano;Yasuyuki Matsushita;Yoichi Sato
Che-Han Chang;Yoichi Sato;Yung-Yu Chuang
Mark K. Wheeler;Yoichi Sato;Katsushi Ikeuchi
Yasushi Kuraishi;Naoyoshi Hirota;Yoichi Sato;Yutaka Hino
Yoichi Sato;Katsushi Ikeuchi
Kris M. Kitani;Takahiro Okabe;Yoichi Sato;Akihiro Sugimoto
Masashi Nishiyama;Takahiro Okabe;Imari Sato;Yoichi Sato
I. Sato;Y. Sato;K. Ikeuchi
Hideki Koike;Yoichi Sato;Yoshinori Kobayashi
Y. Sato;Y. Kobayashi;H. Koike
Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato
K. Oka;Y. Sato;H. Koike
Y. Sugano;Y. Matsushita;Y. Sato
Ko Nishino;Yoichi Sato;Katsushi Ikeuchi
Tadayuki Takahashi;Kazuhisa Mitsuda;Richard Kelley;Felix Aharonian
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA can open doors to a range of online degrees and diverse career pathways. Beyond traditional CS, students can explore niche fields like environmental science and engineering, or pursue interdisciplinary roles.
Combining your technical background with environmental interests leads to promising careers in sustainability, data analysis, and policy. Curious about options in this field? See what can you do with an environmental science major for examples of roles and industries you can enter.
For those eager to fast-track their education, enrolling in an accelerated computer science degree can help you graduate sooner, saving both time and tuition.
Interested in broadening your engineering skills? There are a variety of programs available, including the environmental engineering online degree and the cheapest online master's mechanical engineering programs. Each can help boost your credentials and expand your career horizons in today’s technology-driven job market.
École Polytechnique Fédérale de Lausanne
Yale University
Paul Scherrer Institute
Colorado State University
Agricultural Research Organization
University of Liège
INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
University of Duisburg-Essen
University of Warsaw
University of Vienna
Chiba University
University of Connecticut
Charité - University Medicine Berlin
University at Albany, State University of New York
Erasmus University Rotterdam
Mario Negri Institute for Pharmacological Research
