电信学院图像所引智计划系列讲座
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报告地点: 电信学院3号楼-200号
报告人: 马毅(Yi Ma), 伊利诺伊大学厄巴纳-香槟分校教授; 微软亚洲研究院视觉计算组首席科学家
联系人：宋利 song_li@sjtu.edu.cn
Title： Pursuit of Low-dimensional
Structures
in High-dimensional Data
Abstract:In this talk, we will discuss a new class of models
and techniques that can effectively model and extract rich low-dimensional
structures in high-dimensional data such as images and videos, despite
nonlinear transformation, gross corruption, or severely compressed
measurements. This work leverages recent advancements in convex optimization
for recovering low-rank or sparse signals that provide both strong theoretical
guarantees and efficient and scalable algorithms for solving such
high-dimensional combinatorial problems. These results and tools actually
generalize to a large family of low-complexity structures whose associated
(convex) regularizers are decomposable. We illustrate how these new
mathematical models and tools could bring disruptive changes to solutions to
many challenging tasks in computer vision, image processing, and pattern
recognition. We will also illustrate some emerging applications of these tools
to other data types such as web documents, image tags, microarray data,
audio/music analysis, and graphical models.
Biography: Yi Ma is a Principal Researcher and the Research Manager of the
Visual Computing group at Microsoft Research Asia in Beijing since January
2009. Before that he was a professor at the Electrical & Computer
Engineering Department of the University of Illinois at Urbana-Champaign. His
main research interest is in computer vision, high-dimensional data analysis,
and systems theory. He is the first author of the popular vision textbook “An Invitation to 3-D Vision," published
by Springer in 2003. Yi Ma received his Bachelors’ degree in Automation
and Applied Mathematics from Tsinghua University (Beijing, China) in 1995, a
Master of Science degree in EECS in 1997, a Master of Arts degree in
Mathematics in 2000, and a PhD degree in EECS in 2000, all from the University
of California at Berkeley. Yi Ma received the David Marr Best Paper Prize at
the International Conference on Computer Vision 1999, the Longuet-Higgins Best
Paper Prize at the European Conference on Computer Vision 2004, and the
Sang Uk Lee Best Student Paper Award with his students at the Asian Conference
on Computer Vision in 2009. He also received the CAREER Award from the
National Science Foundation in 2004 and the Young Investigator Award from the
Office of Naval Research in 2005. He was an associate editor of IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI) from 2007 to
2011. He is currently an associate editor of the International Journal of
Computer Vision (IJCV), the IMA journal on Information and Inference, SIAM
journal on Imaging Sciences, and IEEE transactions on Information Theory. He
has served as the chief guest editor for special issues for the Proceedings of
IEEE and the IEEE Signal Processing Magazine. He will also serve as Program
Chair for ICCV 2013 and General Chair for ICCV 2015. He is a Fellow of
IEEE.