CANCELED/RESCHEDULED: Visual Recognition beyond Appearances, and its Robotic Applications

When:
Thursday, March 12, 2020, 11:00 am - 12:00 pm PDTiCal
Where:
1016
This event is open to the public.
Type:
AI Seminar
Speaker:
Yezhou Yang, Arizona State University
Video Recording:
https://bluejeans.com/400294608 (live-stream only, no recording)
Description:

Abstract: The goal of Computer Vision, as coined by Marr, is to develop algorithms to answer What are Where at When from visual appearance. The speaker, among others, recognizes the importance of studying underlying entities and relations beyond visual appearance, following an Active Perception paradigm. The talk will present the speaker's efforts over the last several years, ranging from 1) hidden entities recognition (such as action fluent, human intention and force prediction from visual input), through 2) reasoning beyond appearance for solving image riddles, visual question answering and video captioning, till 3) their roles in a Robotic visual learning framework as well as for Robotic Visual Indoor Navigation (VIN), with applications for household robots. The talk will also feature several ongoing projects and future directions among the Active Perception Group (APG) with the speaker at ASU School of Computing, Informatics, and Decision Systems Engineering (CIDSE).

Bio: Yezhou Yang is an Assistant Professor at School of Computing, Informatics, and Decision Systems Engineering, Arizona State University. He is directing the ASU Active Perception Group. His primary interests lie in Cognitive Robotics, Computer Vision, and Robot Vision, especially exploring visual primitives in human action understanding from visual input, grounding them by natural language as well as high-level reasoning over the primitives for intelligent robots. Before joining ASU, Dr. Yang was a Postdoctoral Research Associate at the Computer Vision Lab and the Perception and Robotics Lab, with the University of Maryland Institute for Advanced Computer Studies. He is a recipient of Qualcomm Innovation Fellowship 2011, the NSF CAREER award 2018 and the Amazon AWS Machine Learning Research Award 2019. He receives his Ph.D. from University of Maryland at College Park, and B.E. from Zhejiang University, China.

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