11 citations · 17 across the 4 of their papers we have counts for
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cs.CV2019★ 4 cited
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,…
cs.CV2019★ 11 cited
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…
cs.CV2017★ 2 cited
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…