Kai Zhang

Orcid: 0000-0002-6319-3722

Affiliations:
  • ETH Zurich, Computer Vision Lab, Switzerland
  • Harbin Institute of Technology, School of Computer Science and Technology, China (PhD 2019)
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong (2015 - 2017)
  • China Jiliang University, Department of Mathematics, Hangzhou, China


According to our database1, Kai Zhang authored at least 62 papers between 2014 and 2024.

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Bibliography

2024
VRT: A Video Restoration Transformer.
IEEE Trans. Image Process., 2024

2023
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis.
Mach. Intell. Res., December, 2023

Learning Context-Based Nonlocal Entropy Modeling for Image Compression.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Deep Equilibrium Diffusion Restoration with Parallel Sampling.
CoRR, 2023

Equivariant Multi-Modality Image Fusion.
CoRR, 2023

LocalViT: Analyzing Locality in Vision Transformers.
IROS, 2023

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Denoising Diffusion Models for Plug-and-Play Image Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Event-Based Frame Interpolation with Ad-hoc Deblurring.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


LSDIR: A Large Scale Dataset for Image Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Plug-and-Play Image Restoration With Deep Denoiser Prior.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Practical Real Video Denoising with Realistic Degradation Model.
CoRR, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
CoRR, 2022

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis.
CoRR, 2022

Recurrent Video Restoration Transformer with Guided Deformable Attention.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Interpretable Video Super-Resolution via Alternating Optimization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Reference-Based Image Super-Resolution with Deformable Attention Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022


NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Video Super-Resolution Transformer.
CoRR, 2021

LocalViT: Bringing Locality to Vision Transformers.
CoRR, 2021

SwinIR: Image Restoration Using Swin Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Flexible Blind JPEG Artifacts Removal.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Flow-Based Kernel Prior With Application to Blind Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Learning Context-Based Non-local Entropy Modeling for Image Compression.
CoRR, 2020


DHP: Differentiable Meta Pruning via HyperNetworks.
Proceedings of the Computer Vision - ECCV 2020, 2020


Deep Unfolding Network for Image Super-Resolution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Blind Deconvolution Using Deep Priors.
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

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels.
CoRR, 2019

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 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

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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