most citedCertifiable 3D Object Pose Estimation: Foundations, Learning Models, and Self-Training

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 3 cited

Certifiable 3D Object Pose Estimation: Foundations, Learning Models, and Self-Training

Rajat Talak, Lisa Peng, Luca Carlone

We consider a certifiable object pose estimation problem, where -- given a partial point cloud of an object -- the goal is to not only estimate the object pose, but also to provide…

cs.RO2021

Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks

Zachary Ravichandran, Lisa Peng, Nathan Hughes +2

Representations are crucial for a robot to learn effective navigation policies. Recent work has shown that mid-level perceptual abstractions, such as depth estimates or 2D semantic…

cs.LG2021★ 1 cited

Neural Trees for Learning on Graphs

Rajat Talak, Siyi Hu, Lisa Peng +1

Graph Neural Networks (GNNs) have emerged as a flexible and powerful approach for learning over graphs. Despite this success, existing GNNs are constrained by their local message-p…