419 citations · 676 across the 36 of their papers we have counts for
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cs.CV2015★ 419 cited
Weighted Schatten -Norm Minimization for Image Denoising and Background Subtraction
Yuan Xie, Shuhang Gu, Yan Liu +3
Low rank matrix approximation (LRMA), which aims to recover the underlying low rank matrix from its degraded observation, has a wide range of applications in computer vision. The l…
cs.CV2015★ 16 cited
A New Low-Rank Tensor Model for Video Completion
Wenrui Hu, Dacheng Tao, Wensheng Zhang +2
In this paper, we propose a new low-rank tensor model based on the circulant algebra, namely, twist tensor nuclear norm or t-TNN for short. The twist tensor denotes a 3-way tensor…
cs.CV2015★ 5 cited
Weighted Schatten -Norm Minimization for Image Denoising with Local and Nonlocal Regularization
Yuan Xie
This paper presents a patch-wise low-rank based image denoising method with constrained variational model involving local and nonlocal regularization. On one hand, recent patch-wis…