6 citations · 7 across the 4 of their papers we have counts for
4 papers
Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach
Cheng Wen, Baosheng Yu, Rao Fu +1
A generative model for high-fidelity point clouds is of great importance in synthesizing 3d environments for applications such as autonomous driving and robotics. Despite the recen…
BPNet: Bézier Primitive Segmentation on 3D Point Clouds
Rao Fu, Cheng Wen, Qian Li +2
This paper proposes BPNet, a novel end-to-end deep learning framework to learn Bézier primitive segmentation on 3D point clouds. The existing works treat different primitive types…
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
Cheng Wen, Jianzhi Long, Baosheng Yu +1
With recent success of deep learning in 2D visual recognition, deep learning-based 3D point cloud analysis has received increasing attention from the community, especially due to t…
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
Minghui Chen, Cheng Wen, Feng Zheng +2
Invariance to diverse types of image corruption, such as noise, blurring, or colour shifts, is essential to establish robust models in computer vision. Data augmentation has been t…