no code implementations • 30 Oct 2023 • Kevin Zhang, Sakshum Kulshrestha, Christopher Metzler
Our work improves upon a recently proposed universal denoiser training strategy by extending these results to higher dimensions and by incorporating a polynomial approximation of the true specification-loss landscape.
no code implementations • ICCV 2023 • Sachin Shah, Sakshum Kulshrestha, Christopher A. Metzler
We then demonstrate, in simulation, that time-averaged dynamic (TiDy) phase masks can offer substantially improved monocular depth estimation and extended depth-of-field imaging performance.
no code implementations • 16 Mar 2023 • Nathaniel W. Rollings, Kent O'Sullivan, Sakshum Kulshrestha
Existing question-answering research focuses on unanswerable questions in the context of always providing an answer when a system can\dots but what about cases where a system {\bf should not} answer a question.