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…
Real-World Adversarial Examples involving Makeup Application
Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen +1
Deep neural networks have developed rapidly and have achieved outstanding performance in several tasks, such as image classification and natural language processing. However, recen…
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…