667 citations · 2.8k across the 127 of their papers we have counts for
3 papers · 2 filters
DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Wentao Yuan, Ben Eckart, Kihwan Kim +3
Point cloud registration is a fundamental problem in 3D computer vision, graphics and robotics. For the last few decades, existing registration algorithms have struggled in situati…
Unseen Object Instance Segmentation for Robotic Environments
Christopher Xie, Yu Xiang, Arsalan Mousavian +1
In order to function in unstructured environments, robots need the ability to recognize unseen objects. We take a step in this direction by tackling the problem of segmenting unsee…
Watching the World Go By: Representation Learning from Unlabeled Videos
Daniel Gordon, Kiana Ehsani, Dieter Fox +1
Recent single image unsupervised representation learning techniques show remarkable success on a variety of tasks. The basic principle in these works is instance discrimination: le…