1 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
ARO-Net: Learning Implicit Fields from Anchored Radial Observations
Yizhi Wang, Zeyu Huang, Ariel Shamir +3
We introduce anchored radial observations (ARO), a novel shape encoding for learning implicit field representation of 3D shapes that is category-agnostic and generalizable amid sig…
NIFT: Neural Interaction Field and Template for Object Manipulation
Zeyu Huang, Juzhan Xu, Sisi Dai +4
We introduce NIFT, Neural Interaction Field and Template, a descriptive and robust interaction representation of object manipulations to facilitate imitation learning. Given a few…
Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction
Qijin She, Ruizhen Hu, Juzhan Xu +3
We approach the problem of high-DOF reaching-and-grasping via learning joint planning of grasp and motion with deep reinforcement learning. To resolve the sample efficiency issue i…
ARM3D: Attention-based relation module for indoor 3D object detection
Yuqing Lan, Yao Duan, Chenyi Liu +4
Relation context has been proved to be useful for many challenging vision tasks. In the field of 3D object detection, previous methods have been taking the advantage of context enc…