I just finished my Ph.D. in the Stanford Computational
Imaging Laboratory, advised by Prof. Gordon Wetzstein, moving on to a Postdoc at MIT's CSAIL
with Josh Tenenbaum, Bill Freeman, and Fredo Durand. My research interest lies in neural scene
representations - the way neural networks learn to represent information on our world.
My goal is to allow independent agents to reason about our world given visual observations,
such as inferring a complete model of a scene with information on geometry, material, lighting etc.
from only few observations, a task that is simple for humans, but currently impossible for AI. I
have previously worked on differentiable camera pipelines, VR and human perception.
Computer Graphics Forum 2020 - EG 2020 (STAR Report)
Ayush Tewari*, Ohad Fried*, Justus Thies*, Vincent Sitzmann*, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, Rohit Pandey, Sean Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B Goldman, Michael Zollhöfer