3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation
Jun Zhou, Kai Chen, Linlin Xu +2
One critical challenge in 6D object pose estimation from a single RGBD image is efficient integration of two different modalities, i.e., color and depth. In this work, we tackle th…
cs.CV2022
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation
Haoran Pan, Jun Zhou, Yuanpeng Liu +4
6D pose estimation of rigid objects from RGB-D images is crucial for object grasping and manipulation in robotics. Although RGB channels and the depth (D) channel are often complem…
cs.CV2020★ 3 cited
3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation
Yuanpeng Liu, Jun Zhou, Yuqi Zhang +2
In this paper, we focus on estimating the 6D pose of objects in point clouds. Although the topic has been widely studied, pose estimation in point clouds remains a challenging prob…