MnRI Seminar: Dr. Yezhou Yang

Visual Recognition beyond Appearances, and its Robotic Applications

The goal of computer vision, as coined by Marr, is to develop algorithms to answer the what, where, and 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.

This talk will present Dr. Yang's efforts over the last decade, ranging from reasoning beyond appearance for visual question answering, image understanding, and video captioning tasks, through temporal and self-supervised knowledge distillation with incremental knowledge transfer, until their roles in a robotic visual learning framework via a Robotic Indoor Object Search task. The talk will also feature the Active Perception Group (APG)’s ongoing projects (NSF RI, NRI and CPS, DARPA KAIROS, and Arizona IAM) addressing emerging challenges of the nation in autonomous driving, AI security, and healthcare domains at the ASU School of Computing, Informatics, and Decision Systems Engineering (CIDSE).

About Yezhou Yang
Yezhou Yang is an Assistant Professor at School of Computing, Informatics, and Decision Systems Engineering, Arizona State University (ASU). He is currently 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.


Start date
Friday, March 19, 2021, 2:30 p.m.