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20202026
most citedEfficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition

98 citations · 168 across the 31 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 10 cited

SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation

Haobo Jiang, Mathieu Salzmann, Zheng Dang +2

In this paper, we introduce an SE(3) diffusion model-based point cloud registration framework for 6D object pose estimation in real-world scenarios. Our approach formulates the 3D…

cs.CV2023

SGNet: Salient Geometric Network for Point Cloud Registration

Qianliang Wu, Yaqing Ding, Lei Luo +5

Point Cloud Registration (PCR) is a critical and challenging task in computer vision. One of the primary difficulties in PCR is identifying salient and meaningful points that exhib…

cs.CV2023★ 4 cited

Self-Supervised 3D Scene Flow Estimation Guided by Superpoints

Yaqi Shen, Le Hui, Jin Xie +1

3D scene flow estimation aims to estimate point-wise motions between two consecutive frames of point clouds. Superpoints, i.e., points with similar geometric features, are usually…

cs.CV2023★ 2 cited

Robust Outlier Rejection for 3D Registration with Variational Bayes

Haobo Jiang, Zheng Dang, Zhen Wei +3

Learning-based outlier (mismatched correspondence) rejection for robust 3D registration generally formulates the outlier removal as an inlier/outlier classification problem. The co…

cs.CV2023★ 5 cited

Graph Matching Optimization Network for Point Cloud Registration

Qianliang Wu, Yaqi Shen, Haobo Jiang +5

Point Cloud Registration is a fundamental and challenging problem in 3D computer vision. Recent works often utilize the geometric structure information in point feature embedding o…