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名师讲堂:Low-dimensional Structures and Deep Models for High-dimensional (Visual) Data
文:教师发展中心 来源:党委教师工作部、人力资源部(教师发展中心) 时间:2017-04-27 4995

  “名师讲堂”第68期活动特别邀请上海科技大学、IEEE Fellow马毅教授主讲,欢迎广大师生参与。具体安排如下:

  一、主 题:高维视觉数据的低维结构与深度模型

  二、时 间:2017年4月28日(周五)下午14:30

  三、地 点:清水河校区图书馆2楼百学堂报告厅

  四、主讲人:上海科技大学 马毅 教授(IEEE Fellow)

  五、主持人:机器人研究中心执行主任 程洪 教授   自动化工程学院 杨路 副教授

  六、内容简介:

  We will discuss a 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 from Compressive Sensing 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. 

  七、主讲人简介:

  Yi Ma has been a Professor and the Executive Dean of the School of Information and Science and Technology, ShanghaiTech University, China since 2014. From 2009 to early 2014, he was a Principal Researcher and the Research Manager of the Visual Computing group at Microsoft Research in Beijing. From 2000 to 2011, he was an Associate 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 has written two textbooks “An Invitation to 3-D Vision” published by Springer in 2004, and “Generalized Principal Component Analysis” published by Springer in 2016. 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 (honorable mention) 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), the International Journal of Computer Vision (IJCV), and IEEE transactions on Information Theory. He is currently an associate editor of the IMA journal on Information and Inference, SIAM journal on Imaging Sciences, IEEE Signal Processing Magazine. He served as a Program Chair for ICCV 2013 and is a General Chair for ICCV 2015. He is a Fellow of IEEE. He is ranked the World's Highly Cited Researchers of 2016 by Clarivate Analytics of Thomson Reuters and is among Top 50 of the Most Influential Authors in Computer Science of the World, ranked by Semantic Scholar, reported by Science Magazine, April 2016.

  八、主办单位:人力资源部教师发展中心

    承办单位:机器人研究中心 自动化工程学院


                    人力资源部教师发展中心

                      2017年4月26日


编辑:罗莎  / 审核:林坤  / 发布:林坤

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