11 citations · 12 across the 3 of their papers we have counts for
5 papers
Mixed X-Ray Image Separation for Artworks with Concealed Designs
Wei Pu, Jun-Jie Huang, Barak Sober +5
In this paper, we focus on X-ray images of paintings with concealed sub-surface designs (e.g., deriving from reuse of the painting support or revision of a composition by the artis…
UGV-UAV Object Geolocation in Unstructured Environments
David Guttendorf, D. W. Wilson Hamilton, Anne Harris Heckman +12
A robotic system of multiple unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) has the potential for advancing autonomous object geolocation performance. Much res…
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…
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…
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…