A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction

A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction

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A Theory of Fermat Paths for Non-Line-of-Sight Shape

CMU Robotics Institute - Congratulations Shumian Xin, Ioannis Gkioulekas, Aswin Sankaranarayanan and Srinivasa Narasimhan and their U. Toronto colleagues for their CVPR Best Paper Award “A theory of Fermat Paths for Non -Line-of-Sight

CVPR 2019 Awards & Record Attendance

Super-resolution non-line-of-sight imaging based on temporal encoding

Congratulations to ECE Associate Professor Aswin Sankaranarayanan

A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction

Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second

PDF] Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform

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PDF] A Theory of Fermat Paths for 3D Imaging Sonar Reconstruction

A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction

NeurIPS 2023