40 citations · 40 across the 5 of their papers we have counts for
6 papers
OCA: ODE-Driven Cross-Attention for Image-to-Point-Cloud Registration
Pei An, Jiaqi Yang, Yulong Wang +2
Cross-attention is a crucial component in learning-based image-to-point-cloud (I2P) registration. Although existing cross-attention mechanisms have achieved promising progress, att…
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
Ziming Nie, Qiao Wu, Chenlei Lv +4
Point cloud upsampling aims to generate dense and uniformly distributed point sets from sparse point clouds. Existing point cloud upsampling methods typically approach the task as…
Deep Learning for 3D Point Cloud Enhancement: A Survey
Siwen Quan, Junhao Yu, Ziming Nie +4
Point cloud data now are popular data representations in a number of three-dimensional (3D) vision research realms. However, due to the limited performance of sensors and sensing n…
On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration
Jiaqi Yang, Zhiqiang Huang, Siwen Quan +3
This paper focuses on developing efficient and robust evaluation metrics for RANSAC hypotheses to achieve accurate 3D rigid registration. Estimating six-degree-of-freedom (6-DoF) p…
3D Correspondence Grouping with Compatibility Features
Jiaqi Yang, Jiahao Chen, Zhiqiang Huang +3
We present a simple yet effective method for 3D correspondence grouping. The objective is to accurately classify initial correspondences obtained by matching local geometric descri…
Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching
Jiaqi Yang, Siwen Quan, Peng Wang +1
Local geometric descriptors remain an essential component for 3D rigid data matching and fusion. The devise of a rotational invariant local geometric descriptor usually consists of…