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20170111-02 Jia Deng:Going Deeper in Semantics and Mid-Level Vision

2017-1-9 23:10| 发布者: 程一-计算所| 查看: 3099| 评论: 0

摘要: 报告嘉宾1:Jia Deng(University of Michigan)报告时间:2017年01月11日(星期三)晚上8:00(北京时间)报告题目:Going Deeper in Semantics and Mid-Level Vision主持人:程明明(南开大学)报告摘要:Achievin ...

报告嘉宾1:Jia Deng(University of Michigan)

报告时间:2017年01月11日(星期三)晚上8:00(北京时间)

报告题目:Going Deeper in Semantics and Mid-Level Vision

主持人:程明明(南开大学) 


报告摘要:

Achieving human-level visual understanding requires extracting deeper semantics from images. In particular, it entails moving beyond detecting objects to understanding the relations between them. It also demands progress in mid-level vision, which extracts deeper geometric information such as pose and 3D. In this talk I will present recent work on both fronts. I will describe efforts on recognizing human-object interactions, an important type of relations between visual entities. I will present a state-of-the-art method on human pose estimation. Finally, I will discuss recovering 3D from a single image, a fundamental mid-level vision problem.


参考文献:

http://web.eecs.umich.edu/~jiadeng/ 


报告人简介:

Jia Deng is an Assistant Professor of Computer Science and Engineering at the University of Michigan. His research focus is on computer vision and machine learning, in particular, achieving human-level visual understanding by integrating perception, cognition, and learning. He received his Ph.D. from Princeton University and his B.Eng. from Tsinghua University, both in computer science. He is a recipient of the Yahoo ACE Award, a Google Faculty Research Award, the ICCV Marr Prize, and the ECCV Best Paper Award.


Jia Deng, Ph.D.

Assistant Professor

Computer Science and Engineering

University of Michigan

http://web.eecs.umich.edu/~jiadeng/


特别鸣谢本次Webinar主要组织者:

VOOC责任委员:李策(兰州理工),张天柱(中科院自动化所)

VODB协调理事:白翔(华中科大),董乐(成电)


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