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CDS Department Seminar: “Towards Embodied Visual Intelligence”
Fri, 14 Dec 18 @ 11:00 AM -- 12:00 PM
SPEAKER : Dr. Dinesh Jayaraman, postdoctoral scholar in EECS at UC Berkeley
TITLE : Towards Embodied Visual Intelligence
Date/Time : December 14, 2018 (Friday) 11:00 AM
Venue : 102 CDS Seminar Hall
What would it mean for a machine to see the world? Computer vision has recently made great progress on problems such as finding categories of objects and poses of people in images. However, I have argued through my work in the last several years that studying such tasks in isolated disembodied contexts, divorced from the physical source of their images, is insufficient to build intelligent visual agents. My research focuses on remarrying vision to action, by asking: how might vision benefit from the ability to act in the world, and vice versa? Could embodied visual agents teach themselves through interaction and experimentation? Are there actions they might perform to improve their visual perception? Could they exploit vision to perform complex control tasks? In my talk, I will set up the context for these questions, cover some strands of my work addressing them, and discuss my long-term vision and directions that I hope to work on in the future.
Dinesh Jayaraman is a postdoctoral scholar in EECS at UC Berkeley. He received his PhD from UT Austin (2017) and B. Tech from IIT Madras (2011). His research interests are broadly in computer vision, robotics, and machine learning. In the last few years, he has worked on active perception and visual learning in embodied agents, visual prediction, visuo-tactile robotic manipulation, semantic visual attributes, and zero-shot categorization. His work has been recognized with the ACCV Best Application Paper Award (2016), a Samsung PhD Fellowship Award (2016), a UT Austin Graduate Dean’s Prestigious Fellowship Supplement (2016), and a UT Austin Microelectronics and Computer Development Fellowship Award (2011). He has reviewed for top conferences and journals across computer vision, machine learning, and robotics, won a CVPR Outstanding Reviewer Award (2016), and has served as an Area Chair for NIPS 2018.
Host Faculty: Prof. Sashikumaar Ganesan