57 citations · 64 across the 4 of their papers we have counts for
4 papers
Towards Semi-supervised Dual-modal Semantic Segmentation
Qiulei Dong, Jianan Li, Shuang Deng
With the development of 3D and 2D data acquisition techniques, it has become easy to obtain point clouds and images of scenes simultaneously, which further facilitates dual-modal s…
Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
Shuang Deng, Bo Liu, Qiulei Dong +1
Many recent works show that a spatial manipulation module could boost the performances of deep neural networks (DNNs) for 3D point cloud analysis. In this paper, we aim to provide…
GA-NET: Global Attention Network for Point Cloud Semantic Segmentation
Shuang Deng, Qiulei Dong
How to learn long-range dependencies from 3D point clouds is a challenging problem in 3D point cloud analysis. Addressing this problem, we propose a global attention network for po…
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
Shuang Deng, Qiulei Dong, Bo Liu +1
3D point cloud semantic segmentation is a challenging topic in the computer vision field. Most of the existing methods in literature require a large amount of fully labeled trainin…