11 citations · 17 across the 4 of their papers we have counts for
4 papers
1D Probabilistic Undersampling Pattern Optimization for MR Image Reconstruction
Shengke Xue, Ruiliang Bai, Xinyu Jin
Magnetic resonance imaging (MRI) is mainly limited by long scanning time and vulnerable to human tissue motion artifacts, in 3D clinical scenarios. Thus, k-space undersampling is u…
Truncated nuclear norm regularization for low-rank tensor completion
Shengke Xue, Wenyuan Qiu, Fan Liu +1
Recently, low-rank tensor completion has become increasingly attractive in recovering incomplete visual data. Considering a color image or video as a three-dimensional (3D) tensor,…
Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion
Shengke Xue, Wenyuan Qiu, Fan Liu +1
Matrix completion focuses on recovering a matrix from a small subset of its observed elements, and has already gained cumulative attention in computer vision. Many previous approac…
Low-Rank Tensor Completion by Truncated Nuclear Norm Regularization
Shengke Xue, Wenyuan Qiu, Fan Liu +1
Currently, low-rank tensor completion has gained cumulative attention in recovering incomplete visual data whose partial elements are missing. By taking a color image or video as a…