Wenze Shao

Orcid: 0000-0001-6869-7789

According to our database1, Wenze Shao authored at least 51 papers between 2006 and 2024.

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Bibliography

2024
Revisiting reweighted graph total variation blind deconvolution and beyond.
Vis. Comput., May, 2024

A novel regularization method for decorrelation learning of non-parallel hyperplanes.
Inf. Sci., 2024

NTIRE 2024 Image Shadow Removal Challenge Report.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
RTR-DPD: reweighted tikohonov regularization for blind deblurring via dual principles of discriminativeness.
Multidimens. Syst. Signal Process., March, 2023

Revisiting the Regularizers in Blind Image Deblurring With a New One.
IEEE Trans. Image Process., 2023

A Regularized Neural Optimization Approach with Beta Densities for Blind Deconvolution.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Dual Discriminative Relative-of-Gaussians Prior for Blind Deblurring.
Proceedings of the 15th International Conference on Digital Image Processing, 2023

On Potentials of the Gamma Densities to Blind Face Hallucination.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2022
Low-tubal-rank tensor factorization on constant curvature Riemann manifold with mixture of Gaussians.
Comput. Electr. Eng., 2022

A type-II maximum-likelihood approach to Gaussian scale mixture-based sparse regression Kriging.
Comput. Ind. Eng., 2022

An Iterative Majorization-Minimization Approach to Deep Denoiser-Plugged Image Inpainting.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

A Comparative Study on RepVGG and ResNet for Monocular 3D Object Detection.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

A Geometric View to Reweighted Graph Total Variation Blind Deconvoluton: Making It Faster and Better.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

2021
Graph regularized Bayesian tensor factorization based on Kronecker-Decomposable dictionary.
Comput. Electr. Eng., 2021

2020
DeblurGAN+: Revisiting blind motion deblurring using conditional adversarial networks.
Signal Process., 2020

Blind deconvolution via complementarily structure-aware image smoothing (Erratum).
J. Electronic Imaging, 2020

Blind deconvolution via complementarily structure-aware image smoothing.
J. Electronic Imaging, 2020

Gradient-based discriminative modeling for blind image deblurring.
Neurocomputing, 2020

2019
Adapting total generalized variation for blind image restoration.
Multidimens. Syst. Signal Process., 2019

Nonparametric Blind Super-Resolution Using Adaptive Heavy-Tailed Priors.
J. Math. Imaging Vis., 2019

Enhancing Blurred Low-Resolution Images via Exploring the Potentials of Learning-Based Super-Resolution.
Int. J. Pattern Recognit. Artif. Intell., 2019

On potentials of regularized Wasserstein generative adversarial networks for realistic hallucination of tiny faces.
Neurocomputing, 2019

Non-Blind Image Deblurring Method by the Total Variation Deep Network.
IEEE Access, 2019

Adversarial Representation Learning for Dynamic Scene Deblurring: A Simple, Fast and Robust Approach.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Simple and Robust Deep Convolutional Approach to Blind Image Denoising.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Blind Deblurring Using Discriminative Image Smoothing.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017
Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal.
IEEE Trans. Image Process., 2017

Boosting normalized sparsity regularization for blind image deconvolution.
Signal Image Video Process., 2017

Robust Blind Deconvolution Using Relative Total Variation as a Regularization Penalty.
Proceedings of the Image and Video Technology, 2017

Blind deconvolution combined with level set method for correcting cupping artifacts in cone beam CT.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Color demosaicking via nonlocal tensor representation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Regularized motion blur-kernel estimation with adaptive sparse image prior learning.
Pattern Recognit., 2016

A Unified Optimization Perspective to Single/Multi-observation Blur-Kernel Estimation with Applications to Camera-Shake Deblurring and Nonparametric Blind Super-Resolution.
J. Math. Imaging Vis., 2016

Return of reconstruction-based single image super-resolution: A simple and accurate approach.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Single image blind deblurring via adapting total generalized variation.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015
A posterior mean approach for MRF-based spatially adaptive multi-frame image super-resolution.
Signal Image Video Process., 2015

A hybrid active contour model with structured feature for image segmentation.
Signal Process., 2015

Bi-l<sub>0</sub>-l<sub>2</sub>-norm regularization for blind motion deblurring.
J. Vis. Commun. Image Represent., 2015

Motion Deblurring Using Non-stationary Image Modeling.
J. Math. Imaging Vis., 2015

Simple, Accurate, and Robust Nonparametric Blind Super-Resolution.
Proceedings of the Image and Graphics - 8th International Conference, 2015

Fast ℓ0-norm-based single image blind deblurring: A comparative study.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

A unified minimization framework for single/multi-shot nonparametric blind deblurring.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014
The magic of split augmented Lagrangians applied to K-frame-based l 0-l 2 minimization image restoration.
Signal Image Video Process., 2014

Kullback-Leibler Divergence Based Composite Prior Modeling for Bayesian Super-Resolution.
J. Sci. Comput., 2014

Bi-l0-l2-Norm Regularization for Blind Motion Deblurring.
CoRR, 2014

2012
Bayesian Metamodeling for Computer Experiments Using the Gaussian Kriging Models.
Qual. Reliab. Eng. Int., 2012

Extended Gaussian Kriging for computer experiments in engineering design.
Eng. Comput., 2012

2008
Corner shock filtering and regularized image magnification.
J. Electronic Imaging, 2008

Edge-and-corner preserving regularization for image interpolation and reconstruction.
Image Vis. Comput., 2008

2006
Local Geometry Driven Image Magnification and Applications to Super-Resolution.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Fast and Robust Filtering-Based Image Magnification.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006


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