most citedSkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2019★ 1 cited

SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding

Ilke Demir, Camilla Hahn, Kathryn Leonard +7

We present SkelNetOn 2019 Challenge and Deep Learning for Geometric Shape Understanding workshop to utilize existing and develop novel deep learning architectures for shape underst…

cs.CV2017

LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution

Yvain Quéau, Bastien Durix, Tao Wu +3

We conduct a thorough study of photometric stereo under nearby point light source illumination, from modeling to numerical solution, through calibration. In the classical formulati…