Kai Zhang

According to our database1, Kai Zhang authored at least 25 papers between 2014 and 2020.

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Bibliography

2020
Plug-and-Play Image Restoration with Deep Denoiser Prior.
CoRR, 2020

The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture.
CoRR, 2020

DHP: Differentiable Meta Pruning via HyperNetworks.
CoRR, 2020

Deep Unfolding Network for Image Super-Resolution.
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.
IEEE Trans. Neural Networks Learn. Syst., 2019

Toward Convolutional Blind Denoising of Real Photographs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels.
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.
IEEE Trans. Image Process., 2018

End-to-End Blind Image Quality Assessment Using Deep Neural Networks.
IEEE Trans. Image Process., 2018

JPEG Image Super-Resolution via Deep Residual Network.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Level Wavelet-CNN for Image Restoration.
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.
IEEE Trans. Image Process., 2017

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising.
CoRR, 2017

Learning Deep CNN Denoiser Prior for Image Restoration.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


2016
Joint Learning of Multiple Regressors for Single Image Super-Resolution.
IEEE Signal Process. Lett., 2016

Extreme learning machine and adaptive sparse representation for image classification.
Neural Networks, 2016

The Effect of Quantization Setting for Image Denoising Methods: An Empirical Study.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Outlier-robust extreme learning machine for regression problems.
Neurocomputing, 2015

Robustness of full implication algorithms based on interval-valued fuzzy inference.
Int. J. Approx. Reason., 2015

Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Class Relatedness Oriented Discriminative Dictionary Learning.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014
A hybrid approach combining extreme learning machine and sparse representation for image classification.
Eng. Appl. Artif. Intell., 2014


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