24 citations · 47 across the 18 of their papers we have counts for
5 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 (…
Nonconvex Approach for Sparse and Low-Rank Constrained Models with Dual Momentum
Cho-Ying Wu, Jian-Jiun Ding
In this manuscript, we research on the behaviors of surrogates for the rank function on different image processing problems and their optimization algorithms. We first propose a no…
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
Cho-Ying Wu, Jian-Jiun Ding
In this paper, a very effective method to solve the contiguous face occlusion recognition problem is proposed. It utilizes the robust image gradient direction features together wit…
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…