Weiwei Wang

Affiliations:
  • Xidian University, School of Mathematics and Statistics, Xi'an, China


According to our database1, Weiwei Wang authored at least 51 papers between 2006 and 2023.

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Timeline

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Bibliography

2023
Cartoon-Texture decomposition with patch-wise decorrelation.
J. Vis. Commun. Image Represent., February, 2023

Deep Structure and Attention Aware Subspace Clustering.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
Deep RED Unfolding Network for Image Restoration.
IEEE Trans. Image Process., 2022

A new variational method for selective segmentation of medical images.
Signal Process., 2022

Joint image restoration and edge detection in cooperative game formulation.
Signal Process., 2022

Game theory based Bi-domanial deep subspace clustering.
Inf. Sci., 2022

Coupled block diagonal regularization for multi-view subspace clustering.
Data Min. Knowl. Discov., 2022

Multi-view subspace clustering with inter-cluster consistency and intra-cluster diversity among views.
Appl. Intell., 2022

2021
Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery.
IEEE Trans. Neural Networks Learn. Syst., 2021

3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion.
IEEE Access, 2021

2020
Group discriminative least square regression for multicategory classification.
Neurocomputing, 2020

W-LDMM: A Wasserstein driven low-dimensional manifold model for noisy image restoration.
Neurocomputing, 2020

Classification-Friendly Sparse Encoder and Classifier Learning.
IEEE Access, 2020

A Method for Millimeter-Wave Imaging of Concealed Objects Via De-Aliasing.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A variational image segmentation method exploring both intensity means and texture patterns.
Signal Process. Image Commun., 2019

Weighted-<i>l</i><sub>1</sub>-method-noise regularization for image deblurring.
Signal Process., 2019

A sparse robust model for large scale multi-class classification based on K-SVCR.
Pattern Recognit. Lett., 2019

A further study on the inequality constraints in stochastic configuration networks.
Inf. Sci., 2019

Online Schatten quasi-norm minimization for robust principal component analysis.
Inf. Sci., 2019

Subspace Clustering by Relaxed Block Diagonal Representation.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Group Discriminative Least Square Regression.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Discriminative Analysis Dictionary and Classifier Learning for Pattern Classification.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Combination of FFST and SR: A New Multi-Focus Image Fusion Strategy.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

2018
Unified Discriminative and Coherent Semi-Supervised Subspace Clustering.
IEEE Trans. Image Process., 2018

Subspace Segmentation by Correlation Adaptive Regression.
IEEE Trans. Circuits Syst. Video Technol., 2018

Structured Sparse Subspace Clustering with Within-Cluster Grouping.
Pattern Recognit., 2018

HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration.
J. Vis. Commun. Image Represent., 2018

An extended variational image decomposition model for color image enhancement.
Neurocomputing, 2018

Bayesian inference for adaptive low rank and sparse matrix estimation.
Neurocomputing, 2018

Discriminative and coherent subspace clustering.
Neurocomputing, 2018

2017
Image segmentation by correlation adaptive weighted regression.
Neurocomputing, 2017

2016
Rank constrained nuclear norm minimization with application to image denoising.
Signal Process., 2016

"Low-rank + dual" model based dimensionality reduction.
Neurocomputing, 2016

Image denoising via bidirectional low rank representation with cluster adaptive dictionary.
IET Image Process., 2016

Subspace clustering by weighted correlation adaptive regression.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Adaptive regularizer learning for low rank approximation with application to image denoising.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
A divide-and-conquer stochastic alterable direction image denoising method.
Signal Process., 2015

Nonconvex Low-Rank Sparse Factorization for Image Segmentation.
Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015

Image Retargeting Based on a New Salient Region Detection Method.
Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015

2014
Salient edge and region aware image retargeting.
Signal Process. Image Commun., 2014

Image Denoising Using Low-Rank Dictionary and Sparse Representation.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

2013
Edge Strength Similarity for Image Quality Assessment.
IEEE Signal Process. Lett., 2013

Image denoising via 2D dictionary learning and adaptive hard thresholding.
Pattern Recognit. Lett., 2013

Nonconvex sparse regularizer based speckle noise removal.
Pattern Recognit., 2013

Two Curvelets variational Models Depend on Decomposition Spaces.
Int. J. Wavelets Multiresolution Inf. Process., 2013

Gradient-based Wiener filter for image denoising.
Comput. Electr. Eng., 2013

Iterative reweighted total generalized variation based Poisson noise removal model.
Appl. Math. Comput., 2013

2012
A new fast multiphase image segmentation algorithm based on nonconvex regularizer.
Pattern Recognit., 2012

2008
Variational Models for Fusion and Denoising of Multifocus Images.
IEEE Signal Process. Lett., 2008

Anisotropic Diffusion with Nonlinear Structure Tensor.
Multiscale Model. Simul., 2008

2006
Parameter Estimation and Two-Stage Segmentation Algorithm for the Chan-Vese Model.
Proceedings of the International Conference on Image Processing, 2006


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