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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<head>
<meta name="generator" content="jemdoc, see http://jemdoc.jaboc.net/" />
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
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<title>Kai Zhang</title>
</head>
<body>
<!-- Project
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<h1>Kai Zhang</h1>
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<table class="imgtable"><tr><td>
<a href="./"><img src="./files/photo3.png" alt="" height="200px" /></a> </td>
<td align="left"><p><font size="4">Kai Zhang (张 凯)</font><br />
<br />
<!--
<a href="https://vision.ee.ethz.ch/the-institute.html">Computer Vision Lab</a><br />
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<br />
School of Intelligence Science and Technology, Nanjing University, Suzhou, China<br />
<br />
Email: [email protected] [email protected] <br />
[<a class="p1" href="https://scholar.google.com.hk/citations?user=0RycFIIAAAAJ&hl" target="_blank">Google Scholar</a>] [<a class="p2" href="https://github.com/cszn" target="_blank">Github</a>]
[<a href="https://www.researchgate.net/profile/Kai_Zhang210" target="_blank">ResearchGate</a>] [<a href="https://orcid.org/0000-0002-6319-3722" target="_blank">ORCID</a>] [<a href="https://www.semanticscholar.org/author/K.-Zhang/144110274" target="_blank">Semantic Scholar</a>] [<a href="https://dblp.org/pid/55/957-8.html" target="_blank">DBLP</a>]</p>
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<h2 style="font-size: 1.2em">课题组长期招收优秀的同学加入：</h2>
<article style="font-size: 0.9em; color: black">
<h3 style="font-size: 1em; color: black">招收对象</h3>
<ul style="color: black">
<li>本科生：大一大二优先（南京大学及其他高校）</li>
<li>研究生：硕士/博士研究生（欢迎编程能力强的数学专业同学）</li>
<li>研究人员：全职/兼职研究助理</li>
</ul>
</article>
<article style="font-size: 0.9em; color: black">
<h3 style="font-size: 1em; color: black">基本要求</h3>
<ul style="color: black">
<li>学术素养：较强的科研内驱力与创新能力</li>
<li>技术基础：较强的编程能力与数学功底</li>
<li>研究方向：对图像/视频处理感兴趣</li>
</ul>
</article>
<h2>Biography</h2>
<p> I am an Associate Professor of the School of Intelligence Science and Technology at Nanjing University, as of March 2024. Previously, I was a postdoctoral researcher at Computer Vision Lab, ETH Zurich, Switzerland.
I received my Ph.D. degree from School of Computer Science and Technology, Harbin Institute of Technology, China, in 2019,
under the supervision of Prof. Lei Zhang and Prof. Wangmeng Zuo.
I was a research assistant from July, 2015 to July, 2017 and from July, 2018 to April, 2019 in Department of Computing of The Hong Kong Polytechnic University.
</p>
<h2>Research Interest</h2>
I work in the field of image processing, with a specific focus on developing deep learning techniques for inverse problems in low-level computer vision.
I mainly explore incorporating model-based methods and learning-based methods for flexible, effective, efficient and interpretable image restoration.
Recently, I focus on the following research topics:
<ul>
<li>Deep plug-and-play image restoration</li>
<li>Deep unfolding image restoration</li>
<li>Camera pipeline</li>
<li>Blind image restoration</li>
</ul>
<h2>PyTorch Toolbox for Image Restoration</h2>
<ul>
<li> <a href="https://github.com/cszn/KAIR" target="_blank">KAIR</a> (support training and testing for DnCNN, FFDNet, SRMD, USRNet, ESRGAN) </li>
<li> <a href="https://github.com/cszn/DPIR" target="_blank">DPIR</a> (Plug-and-Play Image Restoration with Deep Denoiser Prior)</li>
</ul>
<h2>News</h2>
<ul>
<li>(2024-06) I will serve as a Senior Program Committee (SPC) Member for AAAI 2025.
<li>We are organizing a Special Issue titled <a href="https://link.springer.com/collections/fbihijbidh" target="_blank">"Recent Advances in Image Reconstruction"</a> for Visual Intelligence. Submissions of high-quality articles are warmly welcome.
<li>Four papers are accepted in CVPR 2024.
<li>(2022-07) I will serve as a Senior Program Committee (SPC) Member for AAAI 2023.
<li>I am organizing a Special Issue <a href="https://www.mdpi.com/journal/sensors/special_issues/idisrsa_sensors" target="_blank">"Image Denoising and Image Super-Resolution for Sensing Application"</a> on Sensors (IF 3.576), submit your manuscript before 15 December 2022.
<li>We released the testing codes of <a href="https://github.com/cszn/SCUNet" target="_blank">SCUNet</a>.</li>
<li>We released the training codes of <a href="https://github.com/cszn/BSRNet" target="_blank">BSRNet</a> and <a href="https://github.com/cszn/KAIR/blob/master/docs/README_SwinIR.md" target="_blank">SwinIR</a>.</li>
<li><b>All the four submitted papers are accepted by ICCV 2021. Congratulations to Jingyun Liang and Jiaxi Jiang.</b>
<li>One paper is accepted by IEEE TPAMI.</li>
<li>Two papers are accepted in CVPR 2021.</li>
<li>The code of <a href="https://github.com/cszn/BSRNet" target="_blank">BSRNet</a> is available.</li>
<li>The code of <a href="https://github.com/cszn/DPIR" target="_blank">DPIR</a> is available.</li>
<li>The code of <a href="https://github.com/cszn/USRNet" target="_blank">USRNet</a> is available.</li>
<li>I am co-organizing the ECCV 2020 Workshop on <a href="https://data.vision.ee.ethz.ch/cvl/aim20/" target="_blank">Advances in Image Manipulation</a></li>
<li>Two papers are accepted in CVPR 2020.</li>
<li>I am co-organizing the CVPR 2020 Workshop on <a href="https://data.vision.ee.ethz.ch/cvl/ntire20/" target="_blank">New Trends in Image Restoration and Enhancement</a></li>
</ul>
<!-- Project -->
<a id="publications" class="anchor"></a>
<h2>Selected Publications</h2>
<table class="imgtable">
<!-- ECCV 2024-->
<tr>
<td><img class="proj_thumb" src="https://jingyunliang.github.io/MoVideo/assets/imgs/pipeline.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">MoVideo: Motion-Aware Video Generation with Diffusion Models</p>
<p class="pub_author">Jingyun Liang, Yuchen Fan, <b>Kai Zhang*</b>, Radu Timofte, Luc Van Gool, Rakesh Ranjan<br>
European Conference on Computer Vision</i>, 2024.<br>
[<a href= "https://github.com/JingyunLiang/MoVideo/releases/download/v0.0/MoVideo.pdf" target="_blank">Paper</a>]
[<a href="https://jingyunliang.github.io/MoVideo/" target="_blank">Project page</a>]
[<a href="bibtex.html#liang2024movideo" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- MIR 2023-->
<tr>
<td><img class="proj_thumb" src="https://github.com/cszn/SCUNet/raw/main/figs/real_scunet.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis</p>
<p class="pub_author"><b>Kai Zhang*</b>, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Tao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool<br>
Machine Intelligence Research</i>, 2023.<br>
[<a href= "https://github.com/cszn/SCUNet/blob/6e45b78dba1dfecfadc350d52d659d7701fecf17/figs/scunet.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/SCUNet" target="_blank">PyTorch Testing Code</a>]
[<a href="https://replicate.com/cszn/scunet" target="_blank">Online demo</a>]
[<a href="bibtex.html#zhang2022practical" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- NeurIPS 2022-->
<tr>
<td><img class="proj_thumb" src="https://github.com/JingyunLiang/RVRT/raw/main/assets/teaser_vsr.gif?style=centerme" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Recurrent Video Restoration Transformer with Guided Deformable Attention </p>
<p class="pub_author">Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, <b>Kai Zhang*</b>, Radu Timofte, Luc Van Gool<br>
Thirty-sixth Conference on Neural Information Processing Systems</i> (<b>NeurIPS</b>), 2022.<br>
[<a href= "https://arxiv.org/pdf/2206.02146.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/JingyunLiang/RVRT" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#liang2022recurrent" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- ECCV 2022-->
<tr>
<td><img class="proj_thumb" src="https://github.com/caojiezhang/DAVSR/raw/main/assets/011_ours.gif" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Towards Interpretable Video Super-Resolution via Alternating Optimization </p>
<p class="pub_author">Jiezhang Cao, Jingyun Liang, <b>Kai Zhang*</b>, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool<br>
European Conference on Computer Vision</i> (<b>ECCV</b>), 2022.<br>
[<a href= "https://arxiv.org/pdf/2207.10765.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/caojiezhang/DAVSR" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#cao2022towards" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- tpami2022-->
<tr>
<td><img class="proj_thumb" src="https://github.com/cszn/DPIR/raw/master/figs/denoiser_arch.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Plug-and-Play Image Restoration with Deep Denoiser Prior </p>
<p class="pub_author"><b>Kai Zhang</b>, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte<br>
IEEE Transactions on Pattern Analysis and Machine Intelligence</i>(<b>IEEE TPAMI</b>), 2022.<br>
[<a href= "https://arxiv.org/pdf/2008.13751.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/DPIR" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#zhang2020plug" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- chapter 2022-->
<tr>
<td><img class="proj_thumb" src="https://github.com/cszn/USRNet/raw/master/figs/category.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Deep plug-and-play and deep unfolding methods for image restoration (Book chapter)</p>
<p class="pub_author"><b>Kai Zhang</b>, Radu Timofte<br>
In: E.R. Davies and Matthew A. Turk (eds.), Advanced Methods and Deep Learning in Computer Vision, Academic Press, 2022.<br>
[<a href= "https://www.sciencedirect.com/science/article/pii/B9780128221099000230#f0020" target="_blank">Paper</a>]
[<a href="bibtex.html#zhang2022deep" target="_blank">BibTex</a>]</p> </td>
</tr>
<!-- ICCVW 2021-->
<tr>
<td><img class="proj_thumb" src="https://github.com/JingyunLiang/SwinIR/raw/main/figs/SwinIR_archi.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">SwinIR: Image Restoration Using Swin Transformer </p>
<p class="pub_author">Jingyun Liang, Jiezhang Cao, Guolei Sun, <b>Kai Zhang*</b>, Luc Van Gool, Radu Timofte<br>
IEEE International Conference on Computer Vision Workshops</i> (<b>ICCVW</b>), 2021.<br>
[<a href= "https://arxiv.org/pdf/2108.10257.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/JingyunLiang/SwinIR" target="_blank">PyTorch Testing Code</a>]
[<a href="https://github.com/cszn/KAIR" target="_blank">PyTorch Training Code</a>]
[<a href="bibtex.html#liang2021swinir" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- ICCV 2021-->
<tr>
<td><img class="proj_thumb" src="https://github.com/cszn/BSRGAN/raw/main/figs/degradationmodel.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Designing a Practical Degradation Model for Deep Blind Image Super-Resolution </p>
<p class="pub_author"><b>Kai Zhang</b>, Jingyun Liang, Luc Van Gool, Radu Timofte<br>
IEEE International Conference on Computer Vision</i> (<b>ICCV</b>), 2021.<br>
[<a href= "https://arxiv.org/pdf/2103.14006.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/BSRGAN" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#zhang2021designing" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- ICCV 2021, HCFlow-->
<tr>
<td><img class="proj_thumb" src="https://github.com/JingyunLiang/HCFlow/raw/main/illustrations/architecture.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling </p>
<p class="pub_author">Jingyun Liang, Andreas Lugmayr, <b>Kai Zhang*</b>, Martin Danelljan, Luc Van Gool, Radu Timofte<br>
IEEE International Conference on Computer Vision</i> (<b>ICCV</b>), 2021.<br>
[<a href= "https://arxiv.org/pdf/2108.05301.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/JingyunLiang/HCFlow" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#liang2021hierarchical" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- ICCV 2021, MANet-->
<tr>
<td><img class="proj_thumb" src="https://github.com/JingyunLiang/MANet/raw/main/illustrations/MANet.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution </p>
<p class="pub_author">Jingyun Liang, Guolei Sun, <b>Kai Zhang*</b>, Luc Van Gool, Radu Timofte<br>
IEEE International Conference on Computer Vision</i> (<b>ICCV</b>), 2021.<br>
[<a href= "https://arxiv.org/pdf/2108.05302.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/JingyunLiang/MANet" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#liang2021mutual" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- ICCV 2021, FBCNN-->
<tr>
<td><img class="proj_thumb" src="https://raw.githubusercontent.com/cszn/KAIR/master/utils/test.bmp" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Towards Flexible Blind JPEG Artifacts Removal </p>
<p class="pub_author">Jiaxi Jiang, <b>Kai Zhang*</b>, Radu Timofte<br>
IEEE International Conference on Computer Vision</i> (<b>ICCV</b>), 2021.<br>
[<a href= "" target="_blank">Paper</a>]
[<a href="https://github.com/jiaxi-jiang/FBCNN" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#jiang2021towards" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- CVPR 2021 FKP-->
<tr>
<td><img class="proj_thumb" src="https://github.com/JingyunLiang/FKP/raw/master/data/illustrations/KernelGANFKP.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Flow-based Kernel Prior with Application to Blind Super-Resolution </p>
<p class="pub_author">Jingyun Liang, <b>Kai Zhang*</b>, Shuhang Gu, Luc Van Gool, Radu Timofte<br>
IEEE International Conference on Computer Vision and Pattern Recognition</i> (<b>CVPR</b>), 2021.<br>
[<a href= "https://arxiv.org/pdf/2103.15977.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/JingyunLiang/FKP" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#liang2021flow" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- AIM2020-->
<tr>
<td><img class="proj_thumb" src="https://data.vision.ee.ethz.ch/cvl/aim20/logos/AIM2020_name_logo.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results </p>
<p class="pub_author"><b>Kai Zhang</b>, Martin Danelljan, Yawei Li, Radu Timofte, others<br>
European Conference on Computer Vision Workshops</i> (<b>ECCVW</b>), 2020.<br>
[<a href= "https://arxiv.org/pdf/2009.06943.pdf" target="_blank">Paper</a>]
[<a href="bibtex.html#zhang2020aim" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- USRNet-->
<tr>
<td><img class="proj_thumb" src="https://github.com/cszn/USRNet/raw/master/figs/architecture.png" alt="" height="50px"/> </td>
<td>
<p class="pub_title">Deep Unfolding Network for Image Super-Resolution </p>
<p class="pub_author"><b>Kai Zhang</b>, Luc Van Gool, Radu Timofte<br>
IEEE International Conference on Computer Vision and Pattern Recognition</i> (<b>CVPR</b>), 2020.<br>
[<a href= "https://arxiv.org/pdf/2003.10428.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/USRNet" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#zhang2020deep" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- deblur-->
<tr>
<td><img class="proj_thumb" src="https://github.com/csdwren/SelfDeblur/raw/master/results/demo/lai.jpg" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Neural Blind Deconvolution Using Deep Priors </p>
<p class="pub_author">Dongwei Ren, <b>Kai Zhang</b>, Qilong Wang, Qinghua Hu, Wangmeng Zuo<br>
IEEE International Conference on Computer Vision and Pattern Recognition</i>(<b>CVPR</b>), 2020.<br>
[<a href= "https://arxiv.org/pdf/1908.02197.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/csdwren/SelfDeblur" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#ren2019neural" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- challenge-->
<tr>
<td><img class="proj_thumb" src="https://data.vision.ee.ethz.ch/cvl/ntire20/logos/NTIRE2020_name_logo.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results </p>
<p class="pub_author"><b>Kai Zhang</b>, Shuhang Gu, Radu Timofte, and others<br>
IEEE International Conference on Computer Vision and Pattern Recognition Workshops</i>(<b>CVPRW</b>), 2020.<br>
[<a href= "https://arxiv.org/pdf/2005.01056.pdf" target="_blank">Paper</a>]
[<a href="bibtex.html#zhang2020ntire" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- challenge-->
<tr>
<td><img class="proj_thumb" src="https://data.vision.ee.ethz.ch/cvl/aim19/logos/AIM2019_logo.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results</p>
<p class="pub_author"><b>Kai Zhang</b>, Shuhang Gu, Radu Timofte, and others<br>
IEEE International Conference on Computer Vision Workshops (<b>ICCVW</b>), 2019.<br>
[<a href= "https://arxiv.org/pdf/1911.01249.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/KAIR" target="_blank">PyTorch Code of Winner</a>]
[<a href="bibtex.html#zhang2019aim" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- DPSR-->
<tr>
<td><img class="proj_thumb" src="https://github.com/cszn/DPSR/raw/master/testsets/BSD68/x4_m_dpsrgan/test_14_m_14.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels</p>
<p class="pub_author"><b>Kai Zhang</b>, Wangmeng Zuo, Lei Zhang<br>
IEEE International Conference on Computer Vision and Pattern Recognition (<b>CVPR</b>), 2019.<br>
[<a href= "http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Deep_Plug-And-Play_Super-Resolution_for_Arbitrary_Blur_Kernels_CVPR_2019_paper.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/DPSR" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#zhang2019deep" target="_blank">BibTex</a>]
</p> </td>
</tr>
<!-- SRMD-->
<tr>
<td><img class="proj_thumb" src="https://github.com/cszn/SRMD/raw/master/figs/architecture.png" alt="" height="55px"/> </td>
<td>
<p class="pub_title">Learning a Single Convolutional Super-Resolution Network for Multiple Degradations</p>
<p class="pub_author"><b>Kai Zhang</b>, Wangmeng Zuo, Lei Zhang<br>
IEEE International Conference on Computer Vision and Pattern Recognition (<b>CVPR</b>), 2018. <br>
[<a href= "http://openaccess.thecvf.com/content_cvpr_2018/CameraReady/1440.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/SRMD" target="_blank">Matlab Code</a>]
[<a href="https://github.com/cszn/KAIR" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#zhang2018learning" target="_blank">BibTex</a>]
[Citations: <b>670</b>+]</p> </td>
</tr>
<!-- IRCNN-->
<tr>
<td><img class="proj_thumb" src="https://www.mathworks.com/matlabcentral/mlc-downloads/downloads/submissions/62439/versions/6/screenshot.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Learning Deep CNN Denoiser Prior for Image Restoration</p>
<p class="pub_author"><b>Kai Zhang</b>, Wangmeng Zuo, Shuhang Gu, Lei Zhang<br>
IEEE International Conference on Computer Vision and Pattern Recognition (<b>CVPR</b>), 2017. <br>
[<a href= "http://www4.comp.polyu.edu.hk/~cslzhang/paper/IRCNN_CVPR17.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/IRCNN" target="_blank">Matlab Code</a>]
[<a href="bibtex.html#zhang2017learning" target="_blank">BibTex</a>]
[Citations: <b>1400</b>+]</p> </td>
</tr>
<!-- FFDNet-->
<tr>
<td><img class="proj_thumb" src="https://github.com/cszn/FFDNet/raw/master/utilities/figs/Frog.gif" alt="" height="100px"/> </td>
<td>
<p class="pub_title">FFDNet: Toward a Fast and Flexible Solution for CNN-based Image Denoising</p>
<p class="pub_author"><b>Kai Zhang</b>, Wangmeng Zuo, Lei Zhang<br>
IEEE Transactions on Image Processing (<b>TIP</b>), 27(9): 4608-4622, 2018.<br>
[<a href= "http://www4.comp.polyu.edu.hk/~cslzhang/paper/IRCNN_CVPR17.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/FFDNet" target="_blank">Matlab Code</a>]
[<a href="https://github.com/cszn/KAIR" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#zhang2018ffdnet" target="_blank">BibTex</a>]
[Citations: <b>1300</b>+]</p> </td>
</tr>
<!-- DnCNN-->
<tr>
<td><img class="proj_thumb" src="https://github.com/cszn/DnCNN/raw/master/figs/input.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising</p>
<p class="pub_author"><b>Kai Zhang</b>, Wangmeng Zuo, Yunjin Chen, Deyu Meng, Lei Zhang<br>
IEEE Transactions on Image Processing (<b>TIP</b>), 26(7): 3142-3155, 2017.<br>
[<a href= "https://ieeexplore.ieee.org/document/7839189" target="_blank">Paper</a>]
[<a href="https://github.com/cszn/DnCNN" target="_blank">Matlab Code</a>]
[<a href="https://github.com/cszn/KAIR" target="_blank">PyTorch Code</a>]
[<a href="bibtex.html#zhang2017beyond" target="_blank">BibTex</a>]
[Citations: <b>4900</b>+] </p> </td>
</tr>
<!-- Blind IQA-->
<tr>
<td><img class="proj_thumb" src="https://ieeexplore.ieee.org/mediastore_new/IEEE/content/media/83/8167422/8110690/ma4abcdefg-2774045-small.gif" alt="" height="100px"/> </td>
<td>
<p class="pub_title">End-to-End Blind Image Quality Assessment Using Deep Neural Networks</p>
<p class="pub_author">Kede Ma, Wentao Liu, <b>Kai Zhang</b>, Zhengfang Duanmu, Zhou Wang, Wangmeng Zuo<br>
IEEE Transactions on Image Processing (<b>TIP</b>), 27(3): 1202-1213, 2017.<br>
[<a href= "https://ieeexplore.ieee.org/abstract/document/8110690" target="_blank">Paper</a>]
[<a href="https://ece.uwaterloo.ca/~zduanmu/tip2018biqa/" target="_blank">Project Page</a>]
[<a href="bibtex.html#ma2017end" target="_blank">BibTex</a>]
[Citations: <b>300</b>+]</p> </td>
</tr>
<!-- CBDNet-->
<tr>
<td><img class="proj_thumb" src="https://github.com/GuoShi28/CBDNet/raw/master/figs/CBDNet_v13.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Toward Convolutional Blind Denoising of Real Photographs</p>
<p class="pub_author">Shi Guo, Zifei Yan, <b>Kai Zhang</b>, Wangmeng Zuo, Lei Zhang<br>
IEEE International Conference on Computer Vision and Pattern Recognition (<b>CVPR</b>), 2019.<br>
[<a href= "http://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_Toward_Convolutional_Blind_Denoising_of_Real_Photographs_CVPR_2019_paper.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/GuoShi28/CBDNet" target="_blank">Code</a>]
[<a href="bibtex.html#guo2019toward" target="_blank">BibTex</a>]
[Citations: <b>550</b>+]</p> </td>
</tr>
<!-- chapter-->
<tr>
<td><img class="proj_thumb" src="https://media.springernature.com/w306/springer-static/cover/book/978-3-319-96029-6.jpg" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Convolutional Neural Networks for Image Denoising and Restoration (Book chapter)</p>
<p class="pub_author">Wangmeng Zuo, <b>Kai Zhang</b>, Lei Zhang<br>
In: M. Bertalmio (eds.), Denoising of Photographic Images and Video: Fundamentals, Open Challenges and New Trends, Springer, 2018.<br>
[<a href= "https://link.springer.com/chapter/10.1007%2F978-3-319-96029-6_4" target="_blank">Paper</a>]
[<a href="bibtex.html#zuo2018convolutional" target="_blank">BibTex</a>]</p> </td>
</tr>
<!-- SPL-->
<tr>
<td><img class="proj_thumb" src="https://www.mathworks.com/matlabcentral/mlc-downloads/downloads/submissions/53349/versions/3/screenshot.png" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Joint Learning of Multiple Regressors for Single Image Super-Resolution</p>
<p class="pub_author"><b>Kai Zhang</b>, Baoquan Wang, Wangmeng Zuo, Hongzhi Zhang, Lei Zhang.<br>
IEEE Signal Processing Letters (<b>SPL</b>), 23, (1): 102-106, 2016.<br>
[<a href= "https://link.springer.com/chapter/10.1007%2F978-3-319-96029-6_4" target="_blank">Paper</a>]
[<a href="bibtex.html#zhang2015joint" target="_blank">BibTex</a>]
[Citations: <b>30</b>+]
</p> </td>
</tr>
<!-- PCM-->
<tr>
<td><img class="proj_thumb" src="https://media.springernature.com/w306/springer-static/cover/book/978-3-319-24075-6.jpg" alt="" height="100px"/> </td>
<td>
<p class="pub_title">Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms</p>
<p class="pub_author"><b>Kai Zhang</b>, Xiaoyu Zhou, Hongzhi Zhang, Wangmeng Zuo.<br>
Pacific Rim Conference on Multimedia (<b>PCM</b>), 2015: 677-687<br>
[<a href= "https://link.springer.com/chapter/10.1007/978-3-319-24075-6_65" target="_blank">Paper</a>]
[<a href="bibtex.html#zhang2015revisiting" target="_blank">BibTex</a>]
</p> </td>
</tr>
<table>
<!-- Services -->
<a id="services" class="anchor"></a>
<h2>Services</h2>
<p>Workshop Organizers: </p>
<font size="2">
<ul>
<li><p>Co-organizer of ECCV 2020 Workshop on Advanced Image Manipulation (AIM). </p></li>
<li><p>Co-organizer of CVPR 2020 Workshop on New Trends in Image Restoration and Enhancement (NTIRE). </p></li>
<li><p>Co-organizer of ICCV 2019 Workshop on Advanced Image Manipulation (AIM). </p></li>
</ul>
</font>
<p>Journal Reviewer: </p>
<font size="2">
<ul>
<li>IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)</li>
<li>International Journal of Computer Vision (IJCV)</li>
<li>IEEE Transactions on Image Processing (TIP)</li>
<li>IEEE Transactions on Neural Networks and Learning Systems (TNNLS)</li>
<li>IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)</li>
<li>Computer Vision and Image Understanding (CVIU)</li>
<li>Signal Processing Letters (SPL)</li>
</ul>
</font>
<p>Conference Reviewer: </p>
<font size="2">
<ul>
<li>IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</li>
<li>International Conference on Computer Vision (ICCV)</li>
<li>European Conference on Computer Vision (ECCV)</li>
<li>AAAI Conference on Artificial Intelligence (AAAI)</li>
<li>International Joint Conferences on Artificial Intelligence (IJCAI)</li>
</ul>
</font>
<!-- students -->
<a id="students" class="achor"></a>
<h2>Students Co-supervised</h2>
<p>PhD students: </p>
<font size="2">
<ul>
<li><p><a href="https://jingyunliang.github.io/" target="_blank">Jingyun Liang</a>, 2019/11 - 2024/01 </p></li>
<li><p><a href="https://www.jiezhangcao.com/" target="_blank">Jiezhang Cao</a>, 2020/11 - 2024/05 </p></li>
</ul>
</font>
<p>Master students: </p>
<font size="2">
<ul>
<li><a href="https://yuanzhi-zhu.github.io/about/" target="_blank">Yuanzhi Zhu</a>, 2022/07 - 2023/06</li>
<li><a href="https://jiaxi-jiang.com/" target="_blank">Jiaxi Jiang</a>, 2020/09 - 2021/05</li>
</ul>
</font>
<!-- awards -->
<a id="awards" class="achor"></a>
<h2>Awards</h2>
<font size="2">
<ul>
<li>Excellent Doctoral Dissertation of HIT, 2021</li>
<li>First Prize of Natural Science Award of Heilongjiang Province, 2020</li>
<li>Outstanding student paper award of HIT, 2018</li>
<li>Fourth place of NTIRE 2018 challenge on single image super-resolution, 2018</li>
<li>National scholarship for doctoral students, 2017</li>
<li>Outstanding student paper award of HIT, 2017</li>
<li>First prize of GUANGXI International Academic Forum, 2017</li>
<li>Best poster award of Valse2017, 2017</li>
</ul>
</font>
<!-- Links -->
<h2>Collaborators</h2>
<ul>
<a href= "http://people.ee.ethz.ch/~timofter/" target="_blank">Radu Timofte</a>,  
<a href= "https://sites.google.com/site/shuhanggu/" target="_blank">Shuhang Gu</a>,  
<a href= "https://csdwren.github.io/" target="_blank">Dongwei Ren</a>,  
<a href= "https://kedema.org/" target="_blank">Kede Ma</a>,  
<a href= "https://sites.google.com/view/yonghongwei-homepage" target="_blank">Hongwei Yong</a>
</ul>
<!-- Links
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<iframe width="280" height="157" src="https://www.youtube.com/embed/xTRVZbHjmbc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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