15 citations · 37 across the 3 of their papers we have counts for
5 papers
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds
Xiaoyuan Luo, Shaolei Liu, Kexue Fu +2
Deep neural networks have achieved promising performance in supervised point cloud applications, but manual annotation is extremely expensive and time-consuming in supervised learn…
Robust Point Cloud Registration Framework Based on Deep Graph Matching
Kexue Fu, Shaolei Liu, Xiaoyuan Luo +1
3D point cloud registration is a fundamental problem in computer vision and robotics. There has been extensive research in this area, but existing methods meet great challenges in…
A Novel Method for the Absolute Pose Problem with Pairwise Constraints
Yinlong Liu, Xuechen Li, Manning Wang +3
Absolute pose estimation is a fundamental problem in computer vision, and it is a typical parameter estimation problem, meaning that efforts to solve it will always suffer from out…
Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition
Xuechen Li, Yinlong Liu, Yiru Wang +3
The rigid registration of two 3D point sets is a fundamental problem in computer vision. The current trend is to solve this problem globally using the BnB optimization framework. H…
Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net
Yueyue Wang, Liang Zhao, Zhijian Song +1
Accurate segmentation of organ at risk (OAR) play a critical role in the treatment planning of image guided radiation treatment of head and neck cancer. This segmentation task is c…