27 citations · 65 across the 10 of their papers we have counts for
4 papers · 1 filter
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu, Xudong Sun, Cho-Ying Wu +2
Due to the sparsity and irregularity of the point cloud data, methods that directly consume points have become popular. Among all point-based models, graph convolutional networks (…
Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing
Cho-Ying Wu, Ulrich Neumann
In this paper, our goal is salient building outline enhancement and extraction from images taken from consumer cameras using L0 smoothing. We address weak outlines and over-smoothi…
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
Yiqi Zhong, Cho-Ying Wu, Suya You +1
In this paper, we propose our Correlation For Completion Network (CFCNet), an end-to-end deep learning model that uses the correlation between two data sources to perform sparse de…
3DN: 3D Deformation Network
Weiyue Wang, Duygu Ceylan, Radomir Mech +1
Applications in virtual and augmented reality create a demand for rapid creation and easy access to large sets of 3D models. An effective way to address this demand is to edit or d…