![马毅 https://static.aminer.cn/upload/avatar/73/72/360/54405a15dabfae805a6b31ac.jpg](https://avatarcdn.aminer.cn/upload/avatar/73/72/360/54405a15dabfae805a6b31ac.jpg!160)
Yi Ma(马毅)
Professor
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley;Computer Science Department, University of Hong Kong;Imaging Science Lab, Tsinghua-Berkeley Shenzhen Institute;FHL Vive Center for Enhanced Reality;Department of Electronic Engineering and Information Science, School of Information Science and Technology, University of Science and Technology of China
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Bio
His research interests include 3D computer vision, low-dim models for high-dim data, scalable optimization and machine learning, and intelligent machines. Recent research topics include large-scale 3D geometry reconstruction and interaction, as well as the relationships between low-dimemsional models and deep networks. Past research topics include Sparse Representation and Low-Rank Approximation for high-dimensional data, Clustering, Compression, and Classification of High-dimensional Data, and Reconstruction of 3D Structures from Images . His work has found broad applications in areas such as Segmentation of Natural Images, and Robust Face Recognition, and Aligning and Rectifying Images. He has published more than a hundred peer-reviewed articles and two popular textbooks: "An Invitation to 3-D Vision" published in 2003 and "Generalized Principal Component Analysis" published in 2016, all by Springer-Verlag. His new textbook on "High-dimensional Data Analysis with Low-dimensional Models" is published by Cambridge University Press in 2022.
Research Interests
Papers共 317 篇Author StatisticsCo-AuthorSimilar Experts
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ICML 2024 (2024)
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ICLR 2024 (2024)
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arxiv(2024)
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CMC-COMPUTERS MATERIALS & CONTINUAno. 1 (2024): 1095-1113
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CoRR (2024)
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Yuexiang Zhai, Hao Bai, Zipeng Lin,Jiayi Pan,Shengbang Tong,Yifei Zhou,Alane Suhr,Saining Xie,Yann LeCun,Yi Ma,Sergey Levine
CoRR (2024)
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