Speaker: Prof. Achuta Kadambi
Affiliation: ECE Department - UCLA

Joint work with Yunhao Ba, Yiqin Wang, and Guangyuan Zhang


Today, deep learning is the de facto approach to solving many computer vision problems. However, in adopting deep learning, one may overlook a subtlety: the physics of how light interacts with matter. By exploiting these previously overlooked subtleties, we will describe how we can rethink the longstanding problem of 3D reconstruction. Using the lessons learned from this prior work, we will then discuss the future symbiosis between physics and machine learning.


Achuta Kadambi is an Assistant Professor of Electrical and Computer Engineering at UCLA, where he directs the Visual Machines Group. The group blends the physics of light with artificial intelligence to give the gift of sight to robots.

Group webpage: http://visual.ee.ucla.edu

For more information, contact Prof. Ankur Mehta ()

Date(s) - Apr 08, 2019
12:30 pm - 1:30 pm

EE-IV Shannon Room #54-134
420 Westwood Plaza - 5th Flr., Los Angeles CA 90095