3 papers
cs.LG2021
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Wei Pu, Chao Zhou, Yonina C. Eldar +1
In this paper, we consider deep neural networks for solving inverse problems that are robust to forward model mis-specifications. Specifically, we treat sensing problems with model…
cs.CV2021
SBEVNet: End-to-End Deep Stereo Layout Estimation
Divam Gupta, Wei Pu, Trenton Tabor +1
Accurate layout estimation is crucial for planning and navigation in robotics applications, such as self-driving. In this paper, we introduce the Stereo Bird's Eye ViewNetwork (SBE…
eess.IV2020
Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Wei Pu, Barak Sober, Nathan Daly +4
X-radiography (X-ray imaging) is a widely used imaging technique in art investigation. It can provide information about the condition of a painting as well as insights into an arti…