84 citations · 98 across the 10 of their papers we have counts for
11 papers
DRNet: All-in-One Image Restoration via Prior-Guided Dynamic Reparameterization
Ao Li, Xiaoning Liu, Sheng Li +5
All-in-one image restoration aims to handle diverse degradations within a single model. However, existing methods often suffer from three key limitations: 1) per-input computationa…
S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
Zhen Long, Qiyuan Wang, Yazhou Ren +2
Anchor-based large-scale multi-view clustering has attracted considerable attention for its effectiveness in handling massive datasets. However, current methods mainly seek the con…
Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction
Yuan Fang, Yipeng Liu, Jie Chen +4
In recent years, the fusion of high spatial resolution multispectral image (HR-MSI) and low spatial resolution hyperspectral image (LR-HSI) has been recognized as an effective meth…
Tensor Regression
Jiani Liu, Ce Zhu, Zhen Long +1
Regression analysis is a key area of interest in the field of data analysis and machine learning which is devoted to exploring the dependencies between variables, often using vecto…
Multi-view MERA Subspace Clustering
Zhen Long, Ce Zhu, Jie Chen +3
Tensor-based multi-view subspace clustering (MSC) can capture high-order correlation in the self-representation tensor. Current tensor decompositions for MSC suffer from highly unb…
Adaptively Topological Tensor Network for Multi-view Subspace Clustering
Yipeng Liu, Yingcong Lu, Weiting Ou +2
Multi-view subspace clustering methods have employed learned self-representation tensors from different tensor decompositions to exploit low rank information. However, the data str…
Tucker-O-Minus Decomposition for Multi-view Tensor Subspace Clustering
Yingcong Lu, Yipeng Liu, Zhen Long +2
With powerful ability to exploit latent structure of self-representation information, different tensor decompositions have been employed into low rank multi-view clustering (LRMVC)…
Hyperspectral Image Denoising with Partially Orthogonal Matrix Vector Tensor Factorization
Zhen Long, Yipeng Liu, Sixing Zeng +3
Hyperspectral image (HSI) has some advantages over natural image for various applications due to the extra spectral information. During the acquisition, it is often contaminated by…
Bayesian Low Rank Tensor Ring Model for Image Completion
Zhen Long, Ce Zhu, Jiani Liu +1
Low rank tensor ring model is powerful for image completion which recovers missing entries in data acquisition and transformation. The recently proposed tensor ring (TR) based comp…
Hierarchical Tensor Ring Completion
Abdul Ahad, Zhen Long, Ce Zhu +1
Tensor completion can estimate missing values of a high-order data from its partially observed entries. Recent works show that low rank tensor ring approximation is one of the most…
Low Rank Tensor Completion for Multiway Visual Data
Zhen Long, Yipeng Liu, Longxi Chen +1
Tensor completion recovers missing entries of multiway data. Teh missing of entries could often be caused during teh data acquisition and transformation. In dis paper, we provide a…