Weiwei Wang

According to our database, Weiwei Wang authored at least 57 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Grownbb: Gromov-Wasserstein learning of neural best buddies for cross-domain correspondence.

Ruolan Tang, Weiwei Wang, Yu Han, Xiangchu Feng

Vis. Comput., December, 2024

A game model for semi-supervised subspace clustering with dynamic affinity and label learning.

Tingting Qi, Xiangchu Feng, Weiwei Wang

Signal Process., 2024

Iterative decoupling deconvolution network for image restoration.

Yixing Ji, Shengjiang Kong, Weiwei Wang, Xixi Jia, Xiangchu Feng

J. Vis. Commun. Image Represent., 2024

Transformer Autoencoder for K-means Efficient clustering.

Wenhao Wu, Weiwei Wang, Xixi Jia, Xiangchu Feng

Eng. Appl. Artif. Intell., 2024

Deep parametric Retinex decomposition model for low-light image enhancement.

Xiaofang Li, Weiwei Wang, Xiangchu Feng, Min Li

Comput. Vis. Image Underst., 2024

2023

Cartoon-Texture decomposition with patch-wise decorrelation.

Xiaofang Li, Weiwei Wang, Xiangchu Feng, Tingting Qi

J. Vis. Commun. Image Represent., February, 2023

Deep Structure and Attention Aware Subspace Clustering.

Wenhao Wu, Weiwei Wang, Shengjiang Kong

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Deep RED Unfolding Network for Image Restoration.

Shengjiang Kong, Weiwei Wang, Xiangchu Feng, Xixi Jia

IEEE Trans. Image Process., 2022

A new variational method for selective segmentation of medical images.

Wenxiu Zhao, Weiwei Wang, Xiangchu Feng, Yu Han

Signal Process., 2022

Joint image restoration and edge detection in cooperative game formulation.

Chunyu Yang, Weiwei Wang, Xiangchu Feng

Signal Process., 2022

Game theory based Bi-domanial deep subspace clustering.

Tingting Qi, Xiangchu Feng, Weiwei Wang, Xiaofang Li

Inf. Sci., 2022

Coupled block diagonal regularization for multi-view subspace clustering.

Huazhu Chen, Weiwei Wang, Shousheng Luo

Data Min. Knowl. Discov., 2022

Multi-view subspace clustering with inter-cluster consistency and intra-cluster diversity among views.

Huazhu Chen, Xuecheng Tai, Weiwei Wang

Appl. Intell., 2022

2021

Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery.

Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2021

3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion.

Bingzhe Wei, Xiangchu Feng, Weiwei Wang

IEEE Access, 2021

2020

Group discriminative least square regression for multicategory classification.

Chunyu Yang, Weiwei Wang, Xiangchu Feng, Ruiqiang He

Neurocomputing, 2020

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

Ruiqiang He, Xiangchu Feng, Weiwei Wang, Xiaolong Zhu, Chunyu Yang

Neurocomputing, 2020

Classification-Friendly Sparse Encoder and Classifier Learning.

Chunyu Yang, Weiwei Wang, Xiangchu Feng, Shuisheng Zhou

IEEE Access, 2020

A Method for Millimeter-Wave Imaging of Concealed Objects Via De-Aliasing.

Weiwei Wang, Kehu Yang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A variational image segmentation method exploring both intensity means and texture patterns.

Yafeng Li, Qijun Zhao, Xiangchu Feng, Weiwei Wang, Renrui Zhang, An Yan

Signal Process. Image Commun., 2019

Weighted-<i>l</i>₁-method-noise regularization for image deblurring.

Chunyu Yang, Weiwei Wang, Xiangchu Feng, Xin Liu

Signal Process., 2019

A sparse robust model for large scale multi-class classification based on K-SVCR.

Jiajun Ma, Shuisheng Zhou, Li Chen, Weiwei Wang, Zhuan Zhang

Pattern Recognit. Lett., 2019

A further study on the inequality constraints in stochastic configuration networks.

Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Ruiqiang He

Inf. Sci., 2019

Online Schatten quasi-norm minimization for robust principal component analysis.

Xixi Jia, Xiangchu Feng, Weiwei Wang, Hua Huang, Chen Xu

Inf. Sci., 2019

Subspace Clustering by Relaxed Block Diagonal Representation.

Qian Wang, Weiwei Wang, Xiangchu Feng

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Group Discriminative Least Square Regression.

Chunyu Yang, Weiwei Wang, Xiangchu Feng

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Discriminative Analysis Dictionary and Classifier Learning for Pattern Classification.

Weiwei Wang, Chunyu Yang, Qiao Li

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Combination of FFST and SR: A New Multi-Focus Image Fusion Strategy.

Bingzhe Wei, Xiangchu Feng, Weiwei Wang, Ruiqiang He

Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

2018

Unified Discriminative and Coherent Semi-Supervised Subspace Clustering.

Weiwei Wang, Chunyu Yang, Huazhu Chen, Xiangchu Feng

IEEE Trans. Image Process., 2018

Subspace Segmentation by Correlation Adaptive Regression.

Weiwei Wang, Binbin Zhang, Xiangchu Feng

IEEE Trans. Circuits Syst. Video Technol., 2018

Structured Sparse Subspace Clustering with Within-Cluster Grouping.

Huazhu Chen, Weiwei Wang, Xiangchu Feng

Pattern Recognit., 2018

HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration.

Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Rui Zhang, Ruiqiang He, Chen Xu

J. Vis. Commun. Image Represent., 2018

An extended variational image decomposition model for color image enhancement.

Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang

Neurocomputing, 2018

Bayesian inference for adaptive low rank and sparse matrix estimation.

Xixi Jia, Xiangchu Feng, Weiwei Wang, Chen Xu, Lei Zhang

Neurocomputing, 2018

Discriminative and coherent subspace clustering.

Huazhu Chen, Weiwei Wang, Xiangchu Feng, Ruiqiang He

Neurocomputing, 2018

2017

Image segmentation by correlation adaptive weighted regression.

Weiwei Wang, Cui-Ling Wu

Neurocomputing, 2017

2016

Rank constrained nuclear norm minimization with application to image denoising.

Xixi Jia, Xiangchu Feng, Weiwei Wang

Signal Process., 2016

"Low-rank + dual" model based dimensionality reduction.

Si-Qi Wang, Xiang-Chu Feng, Weiwei Wang

Neurocomputing, 2016

Image denoising via bidirectional low rank representation with cluster adaptive dictionary.

Xiaoping Li, Weiwei Wang, Xiangchu Feng, Xiaoyan Liu, Liang Luo

IET Image Process., 2016

Subspace clustering by weighted correlation adaptive regression.

Weiwei Wang, Cui-Ling Wu, Hua Huang, Xiang-Chu Feng

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Adaptive regularizer learning for low rank approximation with application to image denoising.

Xixi Jia, Xiangchu Feng, Weiwei Wang

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A divide-and-conquer stochastic alterable direction image denoising method.

Xiangchu Feng, Liang Luo, Xixi Jia, Weiwei Wang

Signal Process., 2015

Nonconvex Low-Rank Sparse Factorization for Image Segmentation.

Xiaoping Li, Weiwei Wang, Amir Razi, Tao Li

Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015

Image Retargeting Based on a New Salient Region Detection Method.

Jing Li, Weiwei Wang, Xiaoping Li

Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015

2014

Salient edge and region aware image retargeting.

Weiwei Wang, Dong Zhai, Tao Li, Xiangchu Feng

Signal Process. Image Commun., 2014

Image Denoising Using Low-Rank Dictionary and Sparse Representation.

Tao Li, Weiwei Wang, Long Xu, Xiangchu Feng

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

2013

Edge Strength Similarity for Image Quality Assessment.

Xuande Zhang, Xiang-Chu Feng, Weiwei Wang, Wufeng Xue

IEEE Signal Process. Lett., 2013

Image denoising via 2D dictionary learning and adaptive hard thresholding.

Xuande Zhang, Xiang-Chu Feng, Weiwei Wang, Guojun Liu

Pattern Recognit. Lett., 2013

Nonconvex sparse regularizer based speckle noise removal.

Yu Han, Xiang-Chu Feng, George Baciu, Weiwei Wang

Pattern Recognit., 2013

Two Curvelets variational Models Depend on Decomposition Spaces.

Guojun Liu, Xiang-Chu Feng, Weiwei Wang, Xuande Zhang

Int. J. Wavelets Multiresolution Inf. Process., 2013

Gradient-based Wiener filter for image denoising.

Xiaobo Zhang, Xiang-Chu Feng, Weiwei Wang, Shunli Zhang, Qunfeng Dong

Comput. Electr. Eng., 2013

Iterative reweighted total generalized variation based Poisson noise removal model.

Xu-Dong Wang, Xiangchu Feng, Weiwei Wang, Wen-Juan Zhang

Appl. Math. Comput., 2013

2012

A new fast multiphase image segmentation algorithm based on nonconvex regularizer.

Yu Han, Weiwei Wang, Xiang-Chu Feng

Pattern Recognit., 2012

2008

Variational Models for Fusion and Denoising of Multifocus Images.

Weiwei Wang, Peng-Lang Shui, Xiang-Chu Feng

IEEE Signal Process. Lett., 2008

Anisotropic Diffusion with Nonlinear Structure Tensor.

Weiwei Wang, Xiang-Chu Feng

Multiscale Model. Simul., 2008

2006

A new technique for generalized learning vector quantization algorithm.

Shuisheng Zhou, Weiwei Wang, Li-Hua Zhou

Image Vis. Comput., 2006

Parameter Estimation and Two-Stage Segmentation Algorithm for the Chan-Vese Model.

Zhengwen Li, Weiwei Wang, Penglang Shui

Proceedings of the International Conference on Image Processing, 2006