講演のお知らせ： Prof. Alexei (Alyosha) Efros 1月21日（水） 13:15-14:45
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西野恒
Jan 14, 2026, 12:12:44 AM (yesterday) Jan 14
to m...@image-ml.org
image-mlの皆様、
UC BerkeleyのAlyosha Efros先生による講演を以下の通り予定しています。都合により対面のみとなりますが、またとない機会ですのでご都合のつく方はぜひお誘い合わせの上ご参加ください。講演後面談等をご希望の方は気兼ねなく西野にご連絡ください。
日時： 1月21日（水） 13:15-14:45
場所：総合研究７号館講義室1（1階 107)
（https://www.kyoto-u.ac.jp/ja/access/campus/yoshida/map6r-y 68番）
We Are (Still!) Not Giving Data Enough Credit in Visual Computing
Alexei (Alyosha) Efros
Howard Friesen Professor, EECS Department, UC Berkeley, USA
概要
For most of its existence, Visual Computing has been primarily focused on algorithms, with data treated largely as an afterthought. Only recently, with the advances in AI, did our field start to truly appreciate the singularly crucial role played by data, but even now we might still be underestimating it. In this talk, I will begin with some historical examples illustrating the importance of large visual data for visual analysis and synthesis. I will then share some of our recent work demonstrating the power of very simple algorithms when used with the right data, including scene analysis, model interpolation, and visual data attribution.
講演者経歴
Alexei (Alyosha) Efros joined UC Berkeley in 2013. Prior to that, he was for a decade on the faculty of Carnegie Mellon University, and has also been affiliated with École Normale Supérieure/INRIA and University of Oxford. His research is in the area of computer vision and computer graphics, especially at the intersection of the two. He is particularly interested in using data-driven techniques to tackle problems where large quantities of unlabeled visual data are readily available. Efros received his PhD in 2003 from UC Berkeley. He is a recipient of CVPR Best Paper Award (2006), Sloan Fellowship (2008), Guggenheim Fellowship (2008), Okawa Grant (2008), SIGGRAPH Significant New Researcher Award (2010), three PAMI Helmholtz Test-of-Time Prizes (1999,2003,2005), the ACM Prize in Computing (2016), Diane McEntyre Award for Excellence in Teaching Computer Science (2019), Jim and Donna Gray Award for Excellence in Undergraduate Teaching of Computer Science (2023), and PAMI Thomas S. Huang Memorial Prize (2023).
We Are (Still!) Not Giving Data Enough Credit in Visual Computing
Alexei (Alyosha) Efros
Howard Friesen Professor, EECS Department, UC Berkeley, USA
概要
For most of its existence, Visual Computing has been primarily focused on algorithms, with data treated largely as an afterthought. Only recently, with the advances in AI, did our field start to truly appreciate the singularly crucial role played by data, but even now we might still be underestimating it. In this talk, I will begin with some historical examples illustrating the importance of large visual data for visual analysis and synthesis. I will then share some of our recent work demonstrating the power of very simple algorithms when used with the right data, including scene analysis, model interpolation, and visual data attribution.
講演者経歴
Alexei (Alyosha) Efros joined UC Berkeley in 2013. Prior to that, he was for a decade on the faculty of Carnegie Mellon University, and has also been affiliated with École Normale Supérieure/INRIA and University of Oxford. His research is in the area of computer vision and computer graphics, especially at the intersection of the two. He is particularly interested in using data-driven techniques to tackle problems where large quantities of unlabeled visual data are readily available. Efros received his PhD in 2003 from UC Berkeley. He is a recipient of CVPR Best Paper Award (2006), Sloan Fellowship (2008), Guggenheim Fellowship (2008), Okawa Grant (2008), SIGGRAPH Significant New Researcher Award (2010), three PAMI Helmholtz Test-of-Time Prizes (1999,2003,2005), the ACM Prize in Computing (2016), Diane McEntyre Award for Excellence in Teaching Computer Science (2019), Jim and Donna Gray Award for Excellence in Undergraduate Teaching of Computer Science (2023), and PAMI Thomas S. Huang Memorial Prize (2023).
JST ASPIRE JPMJAP2305 思いやり AI 創生に向けた人の基盤モデル構築のための国際プラットフォームの支援による講演です
西野 恒
京都大学 情報学研究科 知能情報学専攻 教授
〒606-8501
京都市左京区吉田本町 総合研究9号館南棟 S-303
https://vision.ist.i.kyoto-u.ac.jp/
075-753-4891
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