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

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）