4 papers
Robust Partial 3D Point Cloud Registration via Confidence Estimation under Global Context
Yongqiang Wang, Weigang Li, Wenping Liu +2
Partial point cloud registration is essential for autonomous perception and 3D scene understanding, yet it remains challenging owing to structural ambiguity, partial visibility, an…
Skeleton-based Robust Registration Framework for Corrupted 3D Point Clouds
Yongqiang Wang, Weigang Li, Wenping Liu +2
Point cloud registration is fundamental in 3D vision applications, including autonomous driving, robotics, and medical imaging, where precise alignment of multiple point clouds is…
Desensitizing for Improving Corruption Robustness in Point Cloud Classification through Adversarial Training
Zhiqiang Tian, Weigang Li, Chunhua Deng +3
Due to scene complexity, sensor inaccuracies, and processing imprecision, point cloud corruption is inevitable. Over-reliance on input features is the root cause of DNN vulnerabili…
Joint graph entropy knowledge distillation for point cloud classification and robustness against corruptions
Zhiqiang Tian, Weigang Li, Junwei Hu +1
Classification tasks in 3D point clouds often assume that class events \replaced{are }{follow }independent and identically distributed (IID), although this assumption destroys the…