Understanding the Physical World from Images
Speaker: David Fouhey
Location: 60 Fifth Avenue Room 150
Date: March 17, 2023, 11 a.m.
Host: Saining Xie
In this talk, I will discuss my research group’s work on realizing this long-term vision. I will start off in 3D, where I will show work that infers the full scene from a picture, including the hidden surfaces that a LiDAR does not see, and which learns to do so with easy-to-obtain supervision. Next, I will show our systems that recognize how humans are currently interacting with the scene, which pave the way towards understanding how interaction could happen. I will conclude by showing how this physical understanding can facilitate work in basic science, from inferring the solar magnetic field in data where each pixel is hundreds of kilometers wide to measuring millimeter-sized bird bones for testing old hypotheses at new scales.
David Fouhey is an assistant professor at the University of Michigan. He received a Ph.D. in robotics from Carnegie Mellon University and was then a postdoctoral fellow at UC Berkeley. His work has been recognized by a NSF CAREER award, and NSF and NDSEG fellowships. He has spent time at the University of Oxford’s Visual Geometry Group, INRIA Paris, and Microsoft Research.
In-person attendance only available to those with active NYU ID cards.