Citation Impact
Citing Papers
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
2009
Fast Fourier Convolution
2020
Robust Principal Component Analysis with Complex Noise
2014
Inference and analysis of cell-cell communication using CellChat
2021 Standout
Inter-class sparsity based discriminative least square regression
2018
Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders
2020 Standout
Sparse Subspace Clustering: Algorithm, Theory, and Applications
2013 Standout
Video super-resolution using controlled subpixel detector shifts
2005
Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification
2018
Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering
2018
Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging
2012 StandoutNobel
Simultaneous Tensor Decomposition and Completion Using Factor Priors
2013
A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography
2012 Standout
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
2010
Full-frame video stabilization with motion inpainting
2006 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution
2009
Contour Detection and Hierarchical Image Segmentation
2010 Standout
Iterative views agreement: an iterative low-rank based structured optimization method to multi-view spectral clustering
2016
Small infrared target detection based on low-rank and sparse representation
2014
Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination
2019
Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus
2015
Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines
2019 Standout
Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance
2014
Multimodal Deep Autoencoder for Human Pose Recovery
2015
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
2018 Standout
LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation
2016
Mathematical Models of Overparameterized Neural Networks
2021
On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization
2018 Standout
DC formulations and algorithms for sparse optimization problems
2017
Infrared target tracking via weighted correlation filter
2015
Discriminative Block-Diagonal Representation Learning for Image Recognition
2017
Squeeze-and-Excitation Networks
2019 Standout
Feature Extraction With Deep Neural Networks by a Generalized Discriminant Analysis
2012
Low-Rank Tensor Subspace Learning for RGB-D Action Recognition
2016
Learning Depth with Convolutional Spatial Propagation Network
2019
Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision
2016
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
2015 Standout
Deep visual domain adaptation: A survey
2018 Standout
Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization
2018
Multi-view Subspace Clustering
2015
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
2017 Standout
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
A Comprehensive Survey to Face Hallucination
2013
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
2020 Standout
Visual Domain Adaptation: A survey of recent advances
2015
Unsupervised segmentation of natural images via lossy data compression
2007
Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification
2018
Low-Rank Latent Pattern Approximation with Applications to Robust Image Classification
2017
Principal component analysis: a review and recent developments
2016 Standout
Tensor decompositions for feature extraction and classification of high dimensional datasets
2010
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
2021 Standout
Cell lineage and communication network inference via optimization for single-cell transcriptomics
2019
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Information Forensics: An Overview of the First Decade
2013 Standout
Deep multi-view learning methods: A review
2021
Infrared and visible image fusion methods and applications: A survey
2018 Standout
Adaptive weighted nonnegative low-rank representation
2018
Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples
2017
Fast separation of direct and global components of a scene using high frequency illumination
2006
Low rank representation with adaptive distance penalty for semi-supervised subspace classification
2017
Low-Rank Preserving Projection Via Graph Regularized Reconstruction
2018
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Pixel-level image fusion: A survey of the state of the art
2016 Standout
Robust principal component analysis?
2011 Standout
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis
2015 Standout
GAN-based Enhanced Deep Subspace Clustering Networks
2020
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
2020 Standout
Robust Multi-Focus Image Fusion Using Multi-Task Sparse Representation and Spatial Context
2016
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning
2018 Standout
A Survey of Sparse Representation: Algorithms and Applications
2015
Robust Subspace Segmentation Via Low-Rank Representation
2013
A survey on semi-supervised learning
2019 Standout
A survey of deep neural network architectures and their applications
2016 Standout
Structurally Incoherent Low-Rank 2DLPP for Image Classification
2018
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Image and video upscaling from local self-examples
2011
A Survey on Visual Transformer
2020
Robust Low-Rank Tensor Recovery with Rectification and Alignment
2019
Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation
2018
Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition
2016
Object Detection With Deep Learning: A Review
2019 Standout
An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem
2019 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
2018 Standout
Constrained Multi-View Video Face Clustering
2015
Infrared Patch-Image Model for Small Target Detection in a Single Image
2013 Standout
A review on the attention mechanism of deep learning
2021 Standout
Image Super-Resolution Using Deep Convolutional Networks
2015 Standout
A survey of transfer learning
2016 Standout
Attention mechanisms in computer vision: A survey
2022 Standout
Research on Key Technologies of Smart Campus Teaching Platform Based on 5G Network
2019 Standout
Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm
2018 Standout
Res2Net: A New Multi-Scale Backbone Architecture
2019 Standout
Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer
2020 Standout
Infrared Dim and Small Target Detection Based on Stable Multisubspace Learning in Heterogeneous Scene
2017
High-Resolution Image Synthesis with Latent Diffusion Models
2022 Standout
Works of Zhouchen Lin being referenced
Robust Subspace Segmentation by Low-Rank Representation
2010
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points.
2019
Classification via Minimum Incremental Coding Length (MICL)
2007
Alternating Multi-bit Quantization for Recurrent Neural Networks
2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
2018
Fundamental limits of reconstruction-based superresolution algorithms under local translation
2004
A Rank-One Update Algorithm for Fast Solving Kernel Foley–Sammon Optimal Discriminant Vectors
2010
Robust Recovery of Subspace Structures by Low-Rank Representation
2012 Standout
Generalized Nonconvex Nonsmooth Low-Rank Minimization
2014
Locality-preserving low-rank representation for graph construction from nonlinear manifolds
2015
Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification
2015
Robust latent low rank representation for subspace clustering
2014
Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction
2002
Generalized Singular Value Thresholding
2015
Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix
2009
Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features
2015
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning
2014
Tensor LRR and Sparse Coding-Based Subspace Clustering
2016
Integrated Low-Rank-Based Discriminative Feature Learning for Recognition
2015
Tensor linear Laplacian discrimination (TLLD) for feature extraction
2009
Limits of Learning-Based Superresolution Algorithms
2008
Robust Matrix Factorization by Majorization Minimization
2017
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering
2015
Convex Sparse Spectral Clustering: Single-View to Multi-View
2016
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution
2018
Limits of Learning-Based Superresolution Algorithms
2007
Is Attention Better Than Matrix Decomposition?
2021
A comparison of typical ℓ minimization algorithms
2013
Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis
2016
Laplacian Regularized Low-Rank Representation and Its Applications
2015
Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis
2009