v1v2v3 (latest)

Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm

15 December 2017

Papers citing "Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm"

24 / 24 papers shown

Title
Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation Yangyang Xu Kexin Li Li Yang You-wei Wen 81 0 0 25 Apr 2025
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Lanlan Feng Ce Zhu Yipeng Liu Saiprasad Ravishankar Longxiu Huang 105 0 0 20 Jan 2025
DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery Ting-Wei Zhou Xi-Le Zhao Jian-Li Wang Yi-Si Luo Min Wang Xiao-Xuan Bai Hong Yan 113 0 0 07 Jul 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent Zhiyu Liu Zhi Han Yandong Tang Xi-Le Zhao Yao Wang 177 1 0 22 Jan 2024
Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers Zhi-yong Wang H. C. So A. Zoubir 88 8 0 10 Oct 2023
Low-rank tensor completion via tensor joint rank with logarithmic composite norm Ruotong Wang 35 0 0 28 Sep 2023
A Novel Tensor Factorization-Based Method with Robustness to Inaccurate Rank Estimation Jingjing Zheng Wen-Zhong Wang Xiaoqin Zhang Xianta Jiang 69 0 0 19 May 2023
Non-convex approaches for low-rank tensor completion under tubal sampling Zheng Tan Longxiu Huang HanQin Cai Y. Lou 69 2 0 17 Mar 2023
Global Weighted Tensor Nuclear Norm for Tensor Robust Principal Component Analysis Libin Wang Yulong Wang Shiyuan Wang Youheng Liu Yutao Hu Long-Biao Chen Hong Chen 54 1 0 28 Sep 2022
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function Hongbing Zhang Xinyi Liu Chang-Shu Liu Hongtao Fan Yajing Li Xinyun Zhu 49 9 0 25 Jun 2022
Bayesian Robust Tensor Ring Model for Incomplete Multiway Data Zhenhao Huang Yuning Qiu Xinqi Chen Weijun Sun Guoxu Zhou 82 5 0 27 Feb 2022
Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave Penalty Hongbing Zhang Xinyi Liu Hongtao Fan Yajing Li Yinlin Ye 111 0 0 30 Jan 2022
Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery Hongbing Zhang Xinyi Liu Hongtao Fan Yajing Li Yinlin Ye 71 1 0 25 Sep 2021
Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising Xiaozhen Xie Sheng Liu 73 0 0 23 Jun 2021
Hyperspectral Image Denoising via Multi-modal and Double-weighted Tensor Nuclear Norm Sheng Liu Xiaozhen Xie Wenfeng Kong 28 0 0 19 Jan 2021
Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion Haijin Zeng 91 2 0 03 Dec 2020
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation Haijin Zeng Xiaozhen Xie J. Ning 88 51 0 30 May 2020
Enhanced nonconvex low-rank approximation of tensor multi-modes for tensor completion Haijin Zeng Xiaozhen Xie J. Ning 40 0 0 28 May 2020
Tensor train rank minimization with nonlocal self-similarity for tensor completion Meng Ding Tingzhu Huang Xile Zhao Michael K. Ng Tian-Hui Ma ViT 78 26 0 29 Apr 2020
Tensor completion using enhanced multiple modes low-rank prior and total variation Haijin Zeng Xiaozhen Xie J. Ning 45 2 0 19 Apr 2020
Tensor Recovery from Noisy and Multi-Level Quantized Measurements Ren Wang Meng Wang Jinjun Xiong 34 4 0 05 Dec 2019
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion Tai-Xiang Jiang Michael K. Ng Xile Zhao Tingzhu Huang ViT 102 150 0 16 Sep 2019
Deep Plug-and-play Prior for Low-rank Tensor Completion Xile Zhao Wen-Hao Xu Tai-Xiang Jiang Yao Wang Michael K. Ng 65 94 0 11 May 2019
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery Yu-Bang Zheng Tingzhu Huang Xile Zhao Tai-Xiang Jiang Teng-Yu Ji Tian-Hui Ma 95 93 0 03 Dec 2018