activity
20222024
most citedDon't worry about mistakes! Glass Segmentation Network via Mistake Correction

2 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2024

DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding

Jincen Jiang, Qianyu Zhou, Yuhang Li +5

Recent point cloud understanding research suffers from performance drops on unseen data, due to the distribution shifts across different domains. While recent studies use Domain Ge…

cs.CV2024

Consistent Point Orientation for Manifold Surfaces via Boundary Integration

Weizhou Liu, Xingce Wang, Haichuan Zhao +4

This paper introduces a new approach for generating globally consistent normals for point clouds sampled from manifold surfaces. Given that the generalized winding number (GWN) fie…

cs.CV20242 cited

Test-Time Domain Generalization for Face Anti-Spoofing

Qianyu Zhou, Ke-Yue Zhang, Taiping Yao +3

Face Anti-Spoofing (FAS) is pivotal in safeguarding facial recognition systems against presentation attacks. While domain generalization (DG) methods have been developed to enhance…

cs.CV2024

DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning

Jincen Jiang, Lizhi Zhao, Xuequan Lu +3

Recent works attempt to extend Graph Convolution Networks (GCNs) to point clouds for classification and segmentation tasks. These works tend to sample and group points to create sm…

cs.CV2023

Weighted Point Cloud Normal Estimation

Weijia Wang, Xuequan Lu, Di Shao +4

Existing normal estimation methods for point clouds are often less robust to severe noise and complex geometric structures. Also, they usually ignore the contributions of different…

cs.CV20232 cited

Don't worry about mistakes! Glass Segmentation Network via Mistake Correction

Chengyu Zheng, Peng Li, Xiao-Ping Zhang +2

Recall one time when we were in an unfamiliar mall. We might mistakenly think that there exists or does not exist a piece of glass in front of us. Such mistakes will remind us to w…