23 citations · 45 across the 6 of their papers we have counts for
6 papers
Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud Classification
Lifa Zhu, Changwei Lin, Chen Zheng +1
Great progress has been made in point cloud classification with learning-based methods. However, complex scene and sensor inaccuracy in real-world application make point cloud data…
Leveraging Inlier Correspondences Proportion for Point Cloud Registration
Lifa Zhu, Haining Guan, Changwei Lin +1
In feature-learning based point cloud registration, the correct correspondence construction is vital for the subsequent transformation estimation. However, it is still a challenge…
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
Liang Pan, Tong Wu, Zhongang Cai +26
As real-scanned point clouds are mostly partial due to occlusions and viewpoints, reconstructing complete 3D shapes based on incomplete observations becomes a fundamental problem f…
Deep Models with Fusion Strategies for MVP Point Cloud Registration
Lifa Zhu, Changwei Lin, Dongrui Liu +2
The main goal of point cloud registration in Multi-View Partial (MVP) Challenge 2021 is to estimate a rigid transformation to align a point cloud pair. The pairs in this competitio…
Point Cloud Registration using Representative Overlapping Points
Lifa Zhu, Dongrui Liu, Changwei Lin +4
3D point cloud registration is a fundamental task in robotics and computer vision. Recently, many learning-based point cloud registration methods based on correspondences have emer…
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image
Enze Zhang, Fa Zhang, Zhiyong Liu +2
Electron tomography (ET) allows high-resolution reconstructions of macromolecular complexes at nearnative state. Cellular structures segmentation in the reconstruction data from el…