Kai Zhang

Radu Timofte

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Flow-Based Kernel Prior With Application to Blind Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Context-Based Non-local Entropy Modeling for Image Compression.

[BibT_eX]

[DOI]

CoRR, 2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DHP: Differentiable Meta Pruning via HyperNetworks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Unfolding Network for Image Super-Resolution.

[BibT_eX]

[DOI]

Luc Van Gool

Radu Timofte

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Blind Deconvolution Using Deep Priors.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Extreme Learning Machine With Affine Transformation Inputs in an Activation Function.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels.

[BibT_eX]

[DOI]

Pablo Navarrete Michelini

CoRR, 2019

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

NTIRE 2019 Challenge on Image Enhancement: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Toward Convolutional Blind Denoising of Real Photographs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Challenge on Real Image Denoising: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

End-to-End Blind Image Quality Assessment Using Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

JPEG Image Super-Resolution via Deep Residual Network.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Level Wavelet-CNN for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Learning Deep CNN Denoiser Prior for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Joint Learning of Multiple Regressors for Single Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Extreme learning machine and adaptive sparse representation for image classification.

[BibT_eX]

[DOI]

Neural Networks, 2016

The Effect of Quantization Setting for Image Denoising Methods: An Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Outlier-robust extreme learning machine for regression problems.

[BibT_eX]

[DOI]

Minxia Luo

Neurocomputing, 2015

Robustness of full implication algorithms based on interval-valued fuzzy inference.

[BibT_eX]

[DOI]

Minxia Luo

Int. J. Approx. Reason., 2015

Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Class Relatedness Oriented Discriminative Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

A hybrid approach combining extreme learning machine and sparse representation for image classification.

[BibT_eX]

[DOI]

Minxia Luo