赵倩｜上海电力大学｜学者主页

2026

Layout-Guided Controllable Pathology Image Generation with In-Context Diffusion Transformers

Yun-Tao Shou, Xiang-Yong Cao, Qian Zhao, De-Yu Meng

arXiv.org

DOI

2026

Enhancing Underwater Light Field Images via Global Geometry-Aware Diffusion Process

Yuji Lin, Qian Zhao, Zong-Sheng Yue, Junhui Hou, De-Yu Meng

IEEE Transactions on Image Processing

DOI

2026

Singular Value Fine-Tuning for Few-Shot Class-Incremental Learning

Zhi-Wu Wang, Yichen Wu, Ren-Zhen Wang, Hao-Kun Lin, Quanziang Wang, Qian Zhao, De-Yu Meng

IEEE transactions on circuits and systems for video technology (Print)

DOI

2026

AMHF-Net: A Multispectral and Hyperspectral Image Fusion Network for Arbitrary-Band Hyperspectral Images

Shunyao Wang, Qi Xie, Qian Zhao, De-Yu Meng

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

2025

基于层次化视觉注意力的富语义视频对话生成

赵倩，郭斌，刘宇博，孙卓，王豪，陈梦琦

《计算机科学》

2025

Learning to Generate Realistic Hyperspectral Noise for Denoising Enhancement

Shinan Chen, Qian Zhao, Zong-Sheng Yue, Xiang-Yong Cao, De-Yu Meng

IEEE Transactions on Geoscience and Remote Sensing

DOI

2025

Generative Latent Kernel Modeling for Blind Motion Deblurring

Chenhao Ding, Jiangtao Zhang, Zong-Sheng Yue, Hui Wang, Qian Zhao, De-Yu Meng

arXiv.org

DOI

2024

结合梯度指导和局部增强Transformer的图像去模糊网络

杨浩，周冬明，赵倩

《小型微型计算机系统》

2024

Learnable Representative Coefficient Image Denoiser for Hyperspectral Image

Jiang-Jun Peng, Hai-Lin Wang, Xiang-Yong Cao, Qian Zhao, Jing Yao, Hong-Ying Zhang, De-Yu Meng

IEEE Transactions on Geoscience and Remote Sensing

DOI

2024

Enhancing Underwater Imaging With 4-D Light Fields: Dataset and Method

Yuji Lin, Junhui Hou, Xianqiang Lyu, Qian Zhao, De-Yu Meng

IEEE Journal on Selected Topics in Signal Processing

DOI

2024

Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior

Li-Xuan Yi, Qian Zhao, Zong-Ben Xu

Remote Sensing

DOI

2024

Graph Domain Adaptation With Dual-Branch Encoder and Two-Level Alignment for Whole Slide Image-Based Survival Prediction

Yun-Tao Shou, Xiang-Yong Cao, Peiqiang Yan, Qiaohui, Qian Zhao, De-Yu Meng

IEEE International Conference on Computer Vision

DOI

2024

HQ-IRN: Quantizing High-Frequency Features for Image Rescaling

Zi-Bo Song, Qian Zhao, De-Yu Meng

IEEE Signal Processing Letters

DOI

2024

Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding

Jiangtao Zhang, Zong-Sheng Yue, Hui Wang, Qian Zhao, De-Yu Meng

European Conference on Computer Vision

DOI

2023

多聚焦图像离焦模糊区域的SIFT特征提取

夏晓华，赵倩，向华涛，秦绪芳，岳鹏举

《光学精密工程》

2023

基于改进型Transformer编码器和特征融合的行人重识别

赵倩，薛超晨，赵琰

《数据采集与处理》

2023

多重金字塔的轻量化遥感车辆小目标检测算法

赵倩，杨一聪

《电子测量技术》

2023

残差注意力与多特征融合的图像去模糊

赵倩，周冬明，杨浩，王长城

《计算机科学》

2023

基于增强小目标特征提取的PCB板缺陷检测模型

季堂煜，赵倩，余文涛，梁爽，赵琰

《仪表技术与传感器》

2023

Interactive Segmentation as Gaussian Process Classification

Minghao Zhou, Hong Wang, Qian Zhao, Yue-Xiang Li, Ya-Wen Huang, Deyu Meng, Ye-Feng Zheng

Computer Vision and Pattern Recognition

DOI

2023

Stein variational gradient descent with learned direction

Qian Zhao, Haibo Wang, Xue-Hu Zhu, De-Yu Meng

Information Sciences

DOI

2023

Adaptive weighting function for weighted nuclear norm based matrix/tensor completion

Qian Zhao, Yuji Lin, Fengxingyu Wang, De-Yu Meng

International Journal of Machine Learning and Cybernetics

DOI

2022

基于深度可分离卷积的实时遥感目标检测算法

王成龙，赵倩，赵琰，郭彤

《电光与控制》

2022

多分支融合注意力机制的行人重识别方法

郭彤，赵倩，赵琰，王成龙

《计算机工程与设计》

2022

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution

Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, De-Yu Meng, Zong-Ben Xu

European Conference on Computer Vision

DOI

2022

Low-Light Image Enhancement by Retinex-Based Algorithm Unrolling and Adjustment

Xinyi Liu, Qi Xie, Qian Zhao, Hong Wang, De-Yu Meng

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Diagnosing Batch Normalization in Class Incremental Learning

Minghao Zhou, Quanziang Wang, Jun Shu, Qian Zhao, De-Yu Meng

arXiv.org

2022

A Tensor-Based Online RPCA Model for Compressive Background Subtraction

Zina Li, Yao Wang, Qian Zhao, Shijun Zhang, De-Yu Meng

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

基于面部特征的深度学习安全帽检测

王成龙，赵倩，郭彤

《上海电力大学学报》

2021

基于球面Haar小波和卷积神经网络的飞行员虹膜识别

贾博，冯孝鑫，李军，俞碧婷，赵倩，吴奇

《电子与信息学报》

2021

A Probabilistic Formulation for Meta-Weight-Net

Qian Zhao, Jun Shu, Xiang Yuan, Zi-Meng Liu, De-Yu Meng

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

Nonnegative matrix factorization with entropy regularization for hyperspectral unmixing

Junmin Liu, Shuai Yuan, Xue-Hu Zhu, Yifan Huang, Qian Zhao

International Journal of Remote Sensing

DOI

2021

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel

Zong-Sheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, De-Yu Meng, Kwan-Yee Kenneth Wong

Computer Vision and Pattern Recognition

DOI

2021

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining

Hong Wang, Qi Xie, Qian Zhao, Yue-Xiang Li, Yong Liang, Ye-Feng Zheng, De-Yu Meng

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

Unsupervised Single Image Super-resolution Under Complex Noise

Zong-Sheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, De-Yu Meng

arXiv.org

2021

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions

Qi Xie, Qian Zhao, Zong-Ben Xu, De-Yu Meng

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2021

Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise

Xiangyu Rui, Xiangyong Cao, Qi Xie, Zong-Sheng Yue, Qian Zhao, De-Yu Meng

Computer Vision and Pattern Recognition

DOI

2020

一种轻量化目标检测算法研究

余进，史燕中，王春华，赵倩，吴蔚

《计算机技术与发展》

2020

Multilinear Multitask Learning by Rank-Product Regularization

Qian Zhao, Xiangyu Rui, Zhi Han, De-Yu Meng

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Deep Variational Network Toward Blind Image Restoration

Zong-Sheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, De-Yu Meng, Kwan-Yee Kenneth Wong

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2020

SUPPLEMENTARY MATERIAL OF “VARIATIONAL BAYES’ METHOD FOR FUNCTIONS WITH APPLICATIONS TO INVERSE PROBLEMS”

Junxiong Jia, Qian Zhao, Zong-Ben Xu, De-Yu Meng, Yee Leung

2020

Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise

Zong-Sheng Yue, Hongwei Yong, De-Yu Meng, Qian Zhao, Yee Leung, Lei Zhang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing

Jiang-Jun Peng, Qi Xie, Qian Zhao, Yao Wang, L. Yee, De-Yu Meng

IEEE Transactions on Image Processing

DOI

2019

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding

Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chenqiang Gao, De-Yu Meng

arXiv.org

2019

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing

Jing Yao, De-Yu Meng, Qian Zhao, Wenfei Cao, Zong-Ben Xu

IEEE Transactions on Image Processing

DOI

2019

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

Jun Shu, Qi Xie, Li-Xuan Yi, Qian Zhao, Sanping Zhou, Zong-Ben Xu, De-Yu Meng

Neural Information Processing Systems

2019

Variational Denoising Network: Toward Blind Noise Modeling and Removal

Zong-Sheng Yue, Hongwei Yong, Qian Zhao, De-Yu Meng, Lei Zhang

Neural Information Processing Systems

2019

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Qi Xie, Minghao Zhou, Qian Zhao, De-Yu Meng, W. Zuo, Zong-Ben Xu

Computer Vision and Pattern Recognition

DOI

2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels

Jun Shu, Qi Xie, Li-Xuan Yi, Qian Zhao, Sanping Zhou, Zong-Ben Xu, De-Yu Meng

arXiv.org

2019

Variational Bayes' method for functions with applications to some inverse problems

Junxiong Jia, Qian Zhao, Zong-Ben Xu, De-Yu Meng, Yee Leung

SIAM Journal on Scientific Computing

DOI

2018

Robust subspace clustering via penalized mixture of Gaussians

Jing Yao, Xiangyong Cao, Qian Zhao, De-Yu Meng, Zong-Ben Xu

Neurocomputing

DOI

2018

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement

Mingrui Geng, Yun Deng, Qian Zhao, Qi Xie, D. Zeng, Jian-Hua Ma, W. Zuo, De-Yu Meng

arXiv.org

2018

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery

Qi Xie, Qian Zhao, De-Yu Meng, Zong-Ben Xu

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2018

A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians

Xi’ai Chen, Zhi Han, Yao Wang, Qian Zhao, De-Yu Meng, Lin Lin, Yan-Dong Tang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2018

Hyperspectral Image Restoration under Complex Multi-Band Noises

Zong-Sheng Yue, De-Yu Meng, Yong-Qing Sun, Qian Zhao

Remote Sensing

DOI

2018

Semi-supervised CNN for Single Image Rain Removal

Wei Wei, De-Yu Meng, Qian Zhao, Zong-Ben Xu

arXiv.org

2018

Discovering Influential Factors in Variational Autoencoder

Shi-Qi Liu, Jing-Xin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, De-Yu Meng

arXiv.org

2018

Video Rain Streak Removal by Multiscale Convolutional Sparse Coding

Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shu-Hang Gu, Jing Tao, De-Yu Meng

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2017

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning

Kaidong Wang, Yao Wang, Qian Zhao, De-Yu Meng, Xiu-Wu Liao, Zong-Ben Xu

IEEE Transactions on Cybernetics

DOI

2017

A theoretical understanding of self-paced learning

De-Yu Meng, Qian Zhao, Lu Jiang

Information Sciences

DOI

2017

Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization

Yao Wang, Lin Lin, Qian Zhao, Tianwei Yue, De-Yu Meng, Yee Leung

IEEE Geoscience and Remote Sensing Letters

DOI

2017

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure

Y. Chen, Xiangyong Cao, Qian Zhao, De-Yu Meng, Zong-Ben Xu

IEEE Transactions on Cybernetics

DOI

2017

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?

Wei Wei, Li-Xuan Yi, Qi Xie, Qian Zhao, De-Yu Meng, Zong-Ben Xu

IEEE International Conference on Computer Vision

DOI

2017

A General Model for Robust Tensor Factorization with Unknown Noise

Xi’ai Chen, Zhi Han, Yao Wang, Qian Zhao, De-Yu Meng, Lin Lin, Yan-Dong Tang

arXiv.org

2017

Robust Low-dose CT Sinogram Preprocessing via Exploiting Noise-generating Mechanism

Qi Xie, D. Zeng, Qian Zhao, De-Yu Meng, Zong-Ben Xu, Zhengrong Liang, Jian-Hua Ma

IEEE Transactions on Medical Imaging

DOI

2017

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification

Xiangyong Cao, Lin Xu, De-Yu Meng, Qian Zhao, Zong-Ben Xu

Neurocomputing

DOI

2017

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

Yao Wang, Jiang-Jun Peng, Qian Zhao, Yee Leung, Xi-Le Zhao, De-Yu Meng

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

2016

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions

Xiangyong Cao, Qian Zhao, De-Yu Meng, Yang Chen, Zong-Ben Xu

IEEE Transactions on Image Processing

DOI

2016

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization

Qi Xie, Qian Zhao, De-Yu Meng, Zong-Ben Xu, Shu-Hang Gu, W. Zuo, Lei Zhang

Computer Vision and Pattern Recognition

DOI

2016

Robust Tensor Factorization with Unknown Noise

Xi’ai Chen, Zhi Han, Yao Wang, Qian Zhao, De-Yu Meng, Yan-Dong Tang

Computer Vision and Pattern Recognition

DOI

2015

基于标注词相关度的图像自动标注改善方法

徐功文，廖明海，郑森红，赵洪銮，张志军，赵倩，许春秀

《计算机科学》

2015

Self-Paced Curriculum Learning

Lu Jiang, De-Yu Meng, Qian Zhao, S. Shan, Alexander Hauptmann

AAAI Conference on Artificial Intelligence

DOI

2015

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection

Ding-Wen Zhang, De-Yu Meng, Chao Li, Lu Jiang, Qian Zhao, Jun-Wei Han

IEEE International Conference on Computer Vision

DOI

2015

A block coordinate descent approach for sparse principal component analysis

Qian Zhao, De-Yu Meng, Zong-Ben Xu, Chenqiang Gao

Neurocomputing

DOI

2015

$L_{1}$ -Norm Low-Rank Matrix Factorization by Variational Bayesian Method

Qian Zhao, De-Yu Meng, Zong-Ben Xu, W. Zuo, Yan Yan

IEEE Transactions on Neural Networks and Learning Systems

DOI

2015

What Objective Does Self-paced Learning Indeed Optimize?

De-Yu Meng, Qian Zhao, Lu Jiang

arXiv.org

2015

A Novel Sparsity Measure for Tensor Recovery

Qian Zhao, De-Yu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zong-Ben Xu

IEEE International Conference on Computer Vision

DOI

2015

Self-Paced Learning for Matrix Factorization

Qian Zhao, De-Yu Meng, Lu Jiang, Qi Xie, Zong-Ben Xu, Alexander Hauptmann

AAAI Conference on Artificial Intelligence

DOI

2015

Supplementary Material of “ A Novel Sparsity Measure for Tensor Recovery ”

Qian Zhao, De-Yu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zong-Ben Xu

2014

Robust sparse principal component analysis

Qian Zhao, De-Yu Meng, Zong-Ben Xu

Science China Information Sciences

DOI

2014

Robust Principal Component Analysis with Complex Noise

Qian Zhao, De-Yu Meng, Zong-Ben Xu, W. Zuo, Lei Zhang

International Conference on Machine Learning

2012

结合高斯多尺度变换和颜色复杂度计算的显著区域检测

赵倩，曹家麟，胡越黎

《仪器仪表学报》

DOI

2012

A recursive divide-and-conquer approach for sparse principal component analysis

Qian Zhao, De-Yu Meng, Zong-Ben Xu

arXiv.org

2012

Dictionary learning under global sparsity constraint

De-Yu Meng, Y. Leung, Qian Zhao, Zong-Ben Xu

arXiv.org

2012

Improve robustness of sparse PCA by L1-norm maximization

De-Yu Meng, Qian Zhao, Zong-Ben Xu

Pattern Recognition

DOI

2011

结合边缘信息的图像检索技术

赵珊，高国红，赵倩

《小型微型计算机系统》

2011

自然图像中的感兴趣目标检测技术

赵倩，胡越黎，曹家麟

《计算机工程》

2010

结合目标预估计与Mean Shift理论的运动目标跟踪算法

赵倩，袁健全，鲁新平，李吉成

《红外与激光工程》

2005

基于支持向量机的皮肤显微图像识别

赵倩，胡越黎，曹家麟

《上海大学学报(自然科学版)》

2005

基于支持向量机和遗传算法的皮肤显微图像特征选择

赵倩，胡越黎，曹家麟

《模式识别与人工智能》

精选作品

期刊论文

Layout-Guided Controllable Pathology Image Generation with In-Context Diffusion Transformers

Enhancing Underwater Light Field Images via Global Geometry-Aware Diffusion Process

Singular Value Fine-Tuning for Few-Shot Class-Incremental Learning

AMHF-Net: A Multispectral and Hyperspectral Image Fusion Network for Arbitrary-Band Hyperspectral Images

基于层次化视觉注意力的富语义视频对话生成

Learning to Generate Realistic Hyperspectral Noise for Denoising Enhancement

Generative Latent Kernel Modeling for Blind Motion Deblurring

结合梯度指导和局部增强Transformer的图像去模糊网络

Learnable Representative Coefficient Image Denoiser for Hyperspectral Image

Enhancing Underwater Imaging With 4-D Light Fields: Dataset and Method

Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior

Graph Domain Adaptation With Dual-Branch Encoder and Two-Level Alignment for Whole Slide Image-Based Survival Prediction

HQ-IRN: Quantizing High-Frequency Features for Image Rescaling

Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding

多聚焦图像离焦模糊区域的SIFT特征提取

基于改进型Transformer编码器和特征融合的行人重识别

多重金字塔的轻量化遥感车辆小目标检测算法

残差注意力与多特征融合的图像去模糊

基于增强小目标特征提取的PCB板缺陷检测模型

Interactive Segmentation as Gaussian Process Classification

Stein variational gradient descent with learned direction

Adaptive weighting function for weighted nuclear norm based matrix/tensor completion

基于深度可分离卷积的实时遥感目标检测算法

多分支融合注意力机制的行人重识别方法

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution

Low-Light Image Enhancement by Retinex-Based Algorithm Unrolling and Adjustment

Diagnosing Batch Normalization in Class Incremental Learning

A Tensor-Based Online RPCA Model for Compressive Background Subtraction

基于面部特征的深度学习安全帽检测

基于球面Haar小波和卷积神经网络的飞行员虹膜识别

A Probabilistic Formulation for Meta-Weight-Net

Nonnegative matrix factorization with entropy regularization for hyperspectral unmixing

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining

Unsupervised Single Image Super-resolution Under Complex Noise

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions

Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise

一种轻量化目标检测算法研究

Multilinear Multitask Learning by Rank-Product Regularization

Deep Variational Network Toward Blind Image Restoration

SUPPLEMENTARY MATERIAL OF “VARIATIONAL BAYES’ METHOD FOR FUNCTIONS WITH APPLICATIONS TO INVERSE PROBLEMS”

Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

Variational Denoising Network: Toward Blind Noise Modeling and Removal

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels

Variational Bayes' method for functions with applications to some inverse problems

Robust subspace clustering via penalized mixture of Gaussians

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery

A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians

Hyperspectral Image Restoration under Complex Multi-Band Noises

Semi-supervised CNN for Single Image Rain Removal

Discovering Influential Factors in Variational Autoencoder

Video Rain Streak Removal by Multiscale Convolutional Sparse Coding

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning

A theoretical understanding of self-paced learning

Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?

A General Model for Robust Tensor Factorization with Unknown Noise

Robust Low-dose CT Sinogram Preprocessing via Exploiting Noise-generating Mechanism

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization

Robust Tensor Factorization with Unknown Noise

基于标注词相关度的图像自动标注改善方法

Self-Paced Curriculum Learning

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection

A block coordinate descent approach for sparse principal component analysis

$L_{1}$ -Norm Low-Rank Matrix Factorization by Variational Bayesian Method

What Objective Does Self-paced Learning Indeed Optimize?

A Novel Sparsity Measure for Tensor Recovery

Self-Paced Learning for Matrix Factorization