2 citations · 4 across the 6 of their papers we have counts for
6 papers
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations
Boyan Wan, Yifei Shi, Kai Xu
Most learning-based approaches to category-level 6D pose estimation are design around normalized object coordinate space (NOCS). While being successful, NOCS-based methods become i…
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification
Jiazhao Zhang, Liu Dai, Fanpeng Meng +4
Object goal navigation (ObjectNav) in unseen environments is a fundamental task for Embodied AI. Agents in existing works learn ObjectNav policies based on 2D maps, scene graphs, o…
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…
6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features
Chenyi Liu, Fei Chen, Lu Deng +5
The point pair feature (PPF) is widely used for 6D pose estimation. In this paper, we propose an efficient 6D pose estimation method based on the PPF framework. We introduce a well…
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…