The commonly adopted detect-then-match approach to registration finds
di...
Surface reconstruction from raw point clouds has been studied for decade...
Learning-based edge detection usually suffers from predicting thick edge...
We present a learning-based approach to relight a single image of Lamber...
Template matching is a fundamental task in computer vision and has been
...
We study the problem of reconstructing 3D feature curves of an object fr...
Monocular depth estimation is a challenging problem on which deep neural...
The point pair feature (PPF) is widely used for 6D pose estimation. In t...
We introduce Displacement Aware Relation Module (DisARM), a novel neural...
Learning-based edge detection has hereunto been strongly supervised with...
We present an unsupervised approach for factorizing object appearance in...
We introduce SCORES, a recursive neural network for shape composition. O...
We present a method for estimating detailed scene illumination using hum...