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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" />
<link rel="stylesheet" href="jemdoc.css" type="text/css" />
<link rel="stylesheet" href="nju.css" type="text/css" />
<title>Selected Pulications </title>
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<table summary="Table for page layout." id="tlayout">
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<div class="image-container">
<img src="./projects/1200px-NJU.svg.png" width="90px" height="112px" alt="NJU">
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<div class="menu-item"><a href="index.html">Homepage</a></div>
<div class="menu-item"><a href="pub.html" class="current">Publications</a></div>
<div class="menu-item"><a href="group.html">Members</a></div>
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<h1>Selected Pulications </h1>
</div>
<p style="text-align:justify"><strong><font size="4px">Publications</font></strong> (* equal contribution, <b><span style="font-family:Wingdings">*</span></b> corresponding author. All publications on [<a href="https://scholar.google.com/citations?user=NKaiUasAAAAJ&hl=en" target=“blank”>Google Scholar</a>])
<table id="pubList" border="0" cellpadding="0" width="100%" style="border-spacing: 10 18px; line-height:16pt; border: 0px;">
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/openvid.jpg" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2407.02371v1">
<papertitle><b>OpenVid-1M: A Large-Scale Dataset for High-Quality Text-to-Video Generation</b></papertitle>
</a>
<br>
K. Nan*, R. Xie*, P. Zhou*, T. Fan, Z. Yang, Z. Chen, X. Li, J. Yang and <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>arXiv:2407.02371v1</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2407.02371v1"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://nju-pcalab.github.io/projects/openvid/"; style="color: #EE7F2D;">Website</a>
/
<a href="https://www.youtube.com/watch?v=ie8JlFptZ9o&t=24s"; style="color: #EE7F2D;">Demo (High-res)</a>
/
<a href="https://huggingface.co/datasets/nkp37/OpenVid-1M"; style="color: #EE7F2D;">Dataset</a>
/
<a href="https://huggingface.co/datasets/nkp37/OpenVid-1M/tree/main/model_weights"; style="color: #EE7F2D;">Models</a>
/
<a href="https://github.com/NJU-PCALab/OpenVid-1M"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/NJU-PCALab/OpenVid-1M.svg" alt="GitHub stars" title="" />
<p></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/AddSR-arXiv2024.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2404.01717.pdf">
<papertitle><b>AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation</b></papertitle>
</a>
<br>
R. Xie, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, C. Zhao, K. Zhang, Z. Zhang, J. Zhou, X. Ye, Q. Wang<b><span style="font-family:Wingdings">*</span></b> and J. Yang.
<br>
<em>arXiv:2404.01717</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2404.01717"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://nju-pcalab.github.io/projects/AddSR/"; style="color: #EE7F2D;">Website</a>
/
<a href="https://github.com/NJU-PCALab/AddSR"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/NJU-PCALab/AddSR.svg" alt="GitHub stars" title="" />
<p></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/RealTalk-arxiv24.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2406.18284">
<papertitle><b>RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network</b></papertitle>
</a>
<br>
X. Ji*, C. Lin, Z. Ding, <b>Y. Tai</b>, J. Yang, J. Zhu, X. Hu, J. Zhang, D. Luo and C. Wang.
<br>
<em>arXiv:2406.18284</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2406.18284"; style="color: #EE7F2D;">arXiv</a>
<p></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/DiffFAE-arxiv24.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2403.17664">
<papertitle><b>DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation</b></papertitle>
</a>
<br>
Q. Wang, J. Zhang, C. Xu, W. Cao, <b>Y. Tai</b>, Y. Han, Y. Ge, H. Gu, C. Wang and Y. Fu.
<br>
<em>arXiv:2403.17664</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2403.17664"; style="color: #EE7F2D;">arXiv</a>
<p></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/Hybridbooth-ECCV24.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="google.com">
<papertitle><b>HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation</b></papertitle>
</a>
<br>
S. Guan*, Y. Ge*, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, J. Yang, W. Li and M. You<b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>European Conference on Computer Vision (ECCV)</em>, 2024
<br>
<a href="google.com"; style="color: #EE7F2D;">arXiv (Coming soon)</a>
<p></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/FaceChain-CVPR24.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://openaccess.thecvf.com/content/CVPR2024/papers/Xu_FaceChain-ImagineID_Freely_Crafting_High-Fidelity_Diverse_Talking_Faces_from_Disentangled_Audio_CVPR_2024_paper.pdf">
<papertitle><b>FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio</b></papertitle>
</a>
<br>
C. Xu, Y. Liu, J. Xing, W. Wang, M. Sun, J. Dan, T. Huang, S Li, Z. Cheng, <b>Y. Tai</b>, B. Sun
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2024
<br>
<a href="https://openaccess.thecvf.com/content/CVPR2024/papers/Xu_FaceChain-ImagineID_Freely_Crafting_High-Fidelity_Diverse_Talking_Faces_from_Disentangled_Audio_CVPR_2024_paper.pdf"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://github.com/modelscope/facechain?tab=readme-ov-file"; style="color: #EE7F2D;">Code</a>
<p></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/PortraitBooth-arXiv2023.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2312.06354.pdf">
<papertitle><b>PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization</b></papertitle>
</a>
<br>
X. Peng, J. Zhu, B. Jiang, <b>Y. Tai</b>, D. Luo, J. Zhang, W. Lin, T. Jin, C. Wang, and R. Ji.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2312.06354.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://portraitbooth.github.io/"; style="color: #EE7F2D;">Website</a>
<p></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/WaveletVFI_TIP2023.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2309.03508.pdf">
<papertitle><b>Dynamic Frame Interpolation in Wavelet Domain</b></papertitle>
</a>
<br>
L. Kong, B. Jiang, D. Luo, W. Chu, <b>Y. Tai</b>, C. Wang, and J. Yang.
<br>
<em>IEEE Trans. on Image Processing</em>, 2023
<br>
<a href="https://arxiv.org/pdf/2309.03508.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/ltkong218/WaveletVFI"; style="color: #EE7F2D;">Evaluation code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/ltkong218/WaveletVFI.svg" alt="GitHub stars" title="" />
<p></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/ImAR-arXIv2023.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2203.08612.pdf">
<papertitle><b>Learning Versatile 3D Shape Generation with Improved AR Models</b></papertitle>
</a>
<br>
S. Luo, X. Qian, Y. Fu, Y. Zhang, <b>Y. Tai</b>, Z. Zhang, C. Wang, and X. Xue.
<br>
<em>International Conference on Computer Vision (<b>ICCV</b>)</em>, 2023
<br>
<a href="https://arxiv.org/pdf/2303.14700.pdf"; style="color: #EE7F2D;">arXiv</a>
<p></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/NPF-CVPR2023.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1r8jcuDpYAnwRM9HOaVJr9BgvRf9L0Vks/view?usp=share_link">
<papertitle><b>Learning Neural Proto-face Field for Disentangled 3D Face Modeling In the Wild</b></papertitle>
</a>
<br>
Z. Zhang, R. Chen, W. Cao, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, and C. Wang<b><span style="font-family:Wingdings">*</span></b>
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2023
<br>
<a href="https://drive.google.com/file/d/1r8jcuDpYAnwRM9HOaVJr9BgvRf9L0Vks/view?usp=share_link"; style="color: #EE7F2D;">Paper</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/CALoss-CVPR2023.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1mKZ8e78DtXATv8_oZaB4d-LMBrc6UeEb/view?usp=share_link">
<papertitle><b>Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space</b></papertitle>
</a>
<br>
T. Huang, Z. Ding, J. Zhang, <b>Y. Tai</b>, Z. Zhang, M. Chen, C. Wang, and Y. Liu
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2023
<br>
<a href="https://drive.google.com/file/d/1mKZ8e78DtXATv8_oZaB4d-LMBrc6UeEb/view?usp=share_link"; style="color: #EE7F2D;">Paper</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/HiTalk-CVPR2023.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2305.02572.pdf">
<papertitle><b>High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning</b></papertitle>
</a>
<br>
C. Xu, J. Zhang, J. Zhu, W. Chu, <b>Y. Tai</b>, C. Wang, and Y. Liu
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2023
<br>
<a href="https://arxiv.org/pdf/2305.02572.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/HitNet_AAAI2023.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2203.11624.pdf">
<papertitle><b>High-resolution Iterative Feedback Network for Camouflaged Object Detection</b></papertitle>
</a>
<br>
X. Hu, S. Wang, X. Qian, H. Dai, W. Ren, D. Luo, <b>Y. Tai</b>, and L. Shao
<br>
<em>AAAI Conference on Artificial Intellige (AAAI)</em>, 2023
<br>
<a href="https://arxiv.org/pdf/2203.11624.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/CRI_AAAI2023.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2302.03406.pdf">
<papertitle><b>High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets</b></papertitle>
</a>
<br>
Y. Wang, C. Lin, D. Luo, <b>Y. Tai</b>, Z. Zhang and Y. Xie
<br>
<em>AAAI Conference on Artificial Intellige (AAAI)</em>, 2023 <b style="color: red">[Oral]</b>
<br>
<a href="https://arxiv.org/pdf/2302.03406.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/3QNet_TOG2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1Sl0ttF1I4uuH7WpZ89hqFliIrSRnkcYT/view?usp=sharing">
<papertitle><b>3QNet: 3D Point Cloud Geometry Quantization Compression Network</b></papertitle>
</a>
<br>
T. Huang, J. Zhang, J. Chen, Z. Ding, <b>Y. Tai</b>, Z. Zhang, C. Wang, and Y. Liu
<br>
<em>ACM Transactions on Graphics</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1Sl0ttF1I4uuH7WpZ89hqFliIrSRnkcYT/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/ColorFormer_ECCV2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/19jhYLzOsCpDsG1ntvg6rfV-4NzHPKEwW/view?usp=sharing">
<papertitle><b>ColorFormer: Image Colorization via Color Memory assisted Hybrid-attention Transformer</b></papertitle>
</a>
<br>
X. Ji*, B. Jiang*, D. Luo, G. Tao, W. Chu, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, Z. Xie, and C. Wang<b><span style="font-family:Wingdings">*</span></b>
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/19jhYLzOsCpDsG1ntvg6rfV-4NzHPKEwW/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1-hhTHW9aQ60JJqYKIs-6tEB1xtesjG60/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/StyleFace_ECCV2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1E2VzLtjWAM9I4ZkvveSLMqXz-frf707C/view?usp=sharing">
<papertitle><b>StyleFace: Towards Identity-Disentangled Face Generation on Megapixels</b></papertitle>
</a>
<br>
Y. Luo, J. Yan, J. Zhu, K. He, W. Chu, <b>Y. Tai</b>, and C. Wang
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1E2VzLtjWAM9I4ZkvveSLMqXz-frf707C/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1ncWoQXQRa7Sg_dKSpbycX0x2ieHlHZJB/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/FRS_ECCV2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="google.com">
<papertitle><b>Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping</b></papertitle>
</a>
<br>
C. Xu*, J. Zhang*, Y. Han, G. Tian, X. Zeng, <b>Y. Tai</b>, Y. Wang, C. Wang, and Y. Liu
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1uahR40VteHhBdjRVEN_hPwN9g5r54GZ1/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1CDDtFN6txDdALMkq0Qpc2lFGstmtnntv/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
/
<a href="https://github.com/xc-csc101/UniFace"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/xc-csc101/UniFace.svg" alt="GitHub stars" title="" />
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/SeedFormer_ECCV2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2207.10315.pdf">
<papertitle><b>SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer</b></papertitle>
</a>
<br>
H. Zhou, Y. Cao, W. Chu, J. Zhu, L. Tong, <b>Y. Tai</b>, and C. Wang
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://arxiv.org/pdf/2207.10315.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
/
<a href="https://drive.google.com/file/d/1p2ubWO25o9e0d0hez6hmzXahww5j_dQc/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
/
<a href="https://github.com/hrzhou2/seedformer"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/hrzhou2/seedformer.svg" alt="GitHub stars" title="" />
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/ProCA_ECCV2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2207.06654.pdf">
<papertitle><b>Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation</b></papertitle>
</a>
<br>
Z. Jiang, Y. Li, C. Yang, P. Gao, Y. Wang, <b>Y. Tai</b>, and C. Wang
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2022
<br>
<a href="https://arxiv.org/pdf/2207.06654.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
/
<a href="https://github.com/jiangzhengkai/ProCA"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/jiangzhengkai/ProCA.svg" alt="GitHub stars" title="" />
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/CDSR_MM22.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2208.13436.pdf">
<papertitle><b>Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution</b></papertitle>
</a>
<br>
Y. Zhou*, C. Lin*, D. Luo, Y. Liu, Mingang Chen, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, and C. Wang<b><span style="font-family:Wingdings">*</span></b>
<br>
<em>ACM International Conference on Multimedia (<b>ACM MM</b>)</em>, 2022
<br>
<a href="https://arxiv.org/pdf/2208.13436.pdf"; style="color: #EE7F2D;">Paper (arXiv)</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/AutoGAN-Synthesizer_MICCAI2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://link.springer.com/chapter/10.1007/978-3-031-16446-0_38">
<papertitle><b>AutoGAN-Synthesizer: Neural Architecture Searchfor Cross-Modality MRI Synthesis</b></papertitle>
</a>
<br>
X. Hu, R. Shen, D. Luo, <b>Y. Tai</b>, C. Wang, and B. Menze
<br>
<em>International Conference on Medical Image Computing and Computer Assisted Intervention (<b>MICCAI</b>)</em>, 2022
<br>
<a href="https://link.springer.com/chapter/10.1007/978-3-031-16446-0_38"; style="color: #EE7F2D;">Paper (official link)</a>
/
<a href="https://github.com/HUuxiaobin/AutoGAN-Synthesizer"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/HUuxiaobin/AutoGAN-Synthesizer.svg" alt="GitHub stars" title="" />
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/HifiHead_IJCAI2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1ZLG3hQuXJ9IkOqvhKyMHuPvS55sJXud3/view?usp=sharing">
<papertitle><b>HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control</b></papertitle>
</a>
<br>
F. Zhu, J. Zhu, W. Chu, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, Z. Xie, X. Huang, and C. Wang<b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1ZLG3hQuXJ9IkOqvhKyMHuPvS55sJXud3/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/SGPN_CVPR2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/18f2Spu3Qx1gskjdGh1Edx1ZlWjlC8xGB/view?usp=sharing">
<papertitle><b>Blind Face Restoration via Integrating Face Shape and Generative Priors</b></papertitle>
</a>
<br>
F. Zhu, J. Zhu, W. Chu, X. Zhang, X. Ji, C. Wang<b><span style="font-family:Wingdings">*</span></b>, and <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/18f2Spu3Qx1gskjdGh1Edx1ZlWjlC8xGB/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1BhJa5I95sAzENzo0_He-L8vcsYFlKL9N/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
/
<a href="https://github.com/TencentYoutuResearch/FaceRestoration-sgpn"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/FaceRestoration-sgpn.svg" alt="GitHub stars" title="" />
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/IFRNet_CVPR2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1oj4uCqu7E2913JKLohu7nZsj5SvECCdq/view?usp=sharing">
<papertitle><b>IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation</b></papertitle>
</a>
<br>
L. Kong*, B. Jiang*, D. Luo, W. Chu, X. Huang, <b>Y. Tai</b>, C. Wang, and J. Yang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1oj4uCqu7E2913JKLohu7nZsj5SvECCdq/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/15K_m9HhGQ4MfrUREr0DxcdtEuCnv_OD3/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
/
<a href="https://github.com/ltkong218/IFRNet"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/ltkong218/IFRNet.svg" alt="GitHub stars" title="" />
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/phyDIR_CVPR2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1s-6glim2XEKNGmrRJKrXyKFJ1X58B7GA/view?usp=sharing">
<papertitle><b>Physically-guided Disentangled Implicit Rendering for 3D Face Modeling</b></papertitle>
</a>
<br>
Z. Zhang, Y. Ge, <b>Y. Tai</b>, W. Cao, R. Chen, K. Liu, H. Tang, X. Huang, C. Wang, Z. Xie, and D. Huang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1s-6glim2XEKNGmrRJKrXyKFJ1X58B7GA/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1UohmPBmgoo6-Dh7ES2ugLvy9-X2TVDNi/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/RDF_CVPR2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/14A4zxu6u5vQ9kROA4HvWllRQ72P8Ml6A/view?usp=sharing">
<papertitle><b>Learning to Restore 3D Face from In-the-Wild Degraded Images</b></papertitle>
</a>
<br>
Z. Zhang, Y. Ge, <b>Y. Tai</b>, X. Huang, C. Wang, H. Tang, D. Huang, and Z. Xie.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/14A4zxu6u5vQ9kROA4HvWllRQ72P8Ml6A/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://drive.google.com/file/d/1ahwfZtPB4YrLWXswsDz2jSPGon2ZCiZa/view?usp=sharing"; style="color: #EE7F2D;">Supp</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/MFH_CVPR2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1Gq-167f2ue30463K4XMkHOJThg9Yugk0/view?usp=sharing">
<papertitle><b>Learning to Memorize Feature Hallucination for One-Shot Image Generation</b></papertitle>
</a>
<br>
Y. Xie, Y. Fu, J. Zhu, <b>Y. Tai</b>, Y. Cao, and C. Wang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1Gq-167f2ue30463K4XMkHOJThg9Yugk0/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/DIRL-AAAI2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1dlX3bHVJ8-djyDeuK3B-EhJoNEwxQMSY/view?usp=sharing">
<papertitle><b>DIRL: Domain-invariant Representation Learning for Generalizable Semantic Segmentation</b></papertitle>
</a>
<br>
Q. Xu, L. Yao, Z. Jiang, G. Jiang, W. Chu, W. Han, W. Zhang, C. Wang, and <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>.
<br>
<em>AAAI Conference on Artificial Intellige (<b>AAAI</b>)</em>, 2022 <b style="color: red">[Oral]</b>
<br>
<a href="https://drive.google.com/file/d/1dlX3bHVJ8-djyDeuK3B-EhJoNEwxQMSY/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/SCSNet-AAAI2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1LOo18uoqCBZ_fb3HJYOcBVmUMBEVCZRj/view?usp=sharing">
<papertitle><b>SCSNet: Simultaneously Image Colorization and Super-Resolution</b></papertitle>
</a>
<br>
J. Zhang, C. Xu, Y. Han, J. Li, Y. Wang, <b>Y. Tai</b>, C. Wang, F. Huang, Z. Xie, and Y. Liu.
<br>
<em>AAAI Conference on Artificial Intellige (<b>AAAI</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1LOo18uoqCBZ_fb3HJYOcBVmUMBEVCZRj/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/LCTR-AAAI2022.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1aCz2WOuxa3ppYkb2i43i6_WamA9drLU9/view?usp=sharing">
<papertitle><b>LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization</b></papertitle>
</a>
<br>
Z. Chen, C. Wang, Y. Wang, G. Jiang, Y. Shen, <b>Y. Tai</b>, C. Wang, W. Zhang, and L. Cao.
<br>
<em>AAAI Conference on Artificial Intellige (<b>AAAI</b>)</em>, 2022
<br>
<a href="https://drive.google.com/file/d/1aCz2WOuxa3ppYkb2i43i6_WamA9drLU9/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/S2K-nips2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2110.12151.pdf">
<papertitle><b>Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution</b></papertitle>
</a>
<br>
G. Tao, X. Ji, W. Wang, S. Chen, C. Lin, Y. Cao, T. Lu, D. Luo, and <b>Y. Tai</b>.
<br>
<em>Thirty-fifth Conference on Neural Information Processing Systems (<b>NeurIPS</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2110.12151.pdf"; style="color: #EE7F2D;">arXiv</a>
<p><font color="red">A novel framework S2K that predicts the kernel from spectrum in frequency domain</p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/EAT-arXiv2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2105.15089.pdf">
<papertitle><b>Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model</b></papertitle>
</a>
<br>
J. Zhang, C. Xu, J. Li, W. Chen, Y. Wang, <b>Y. Tai</b>, S. Chen, C. Wang, F. Huang and R. Liu.
<br>
<em>Thirty-fifth Conference on Neural Information Processing Systems (<b>NeurIPS</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2105.15089.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/TencentYoutuResearch/BaseArchitecture-EAT"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/BaseArchitecture-EAT.svg" alt="GitHub stars" title="" />
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/P2PNet-ICCV2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2107.12746.pdf">
<papertitle><b>Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework</b></papertitle>
</a>
<br>
Q. Song*, C. Wang*, Z. Jiang, Y. Wang, <b>Y. Tai</b>, C. Wang, J. Li, F. Huang and Y. Wu.
<br>
<em>International Conference on Computer Vision (<b>ICCV</b>)</em>, 2021 <b style="color: red">[Oral]</b>
<br>
<a href="https://arxiv.org/pdf/2107.12746.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/TencentYoutuResearch/CrowdCounting-P2PNet"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/CrowdCounting-P2PNet.svg" alt="GitHub stars" title="" />
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/UEPNet-ICCV2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2107.12619.pdf">
<papertitle><b>Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting</b></papertitle>
</a>
<br>
C. Wang*, Q. Song*, B. Zhang, Y. Wang, <b>Y. Tai</b>, X. Hu, C. Wang, J. Li, J. Ma, and Y. Wu.
<br>
<em>International Conference on Computer Vision (<b>ICCV</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2107.12619.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/TencentYoutuResearch/CrowdCounting-UEPNet"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/CrowdCounting-UEPNet.svg" alt="GitHub stars" title="" />
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/ASFD_arXiv20.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2003.11228.pdf">
<papertitle><b>ASFD: Automatic and Scalable Face Detector</b></papertitle>
</a>
<br>
J. Li*, B. Zhang*, Y. Wang, <b>Y. Tai</b>, Z. Zhang, C. Wang, J. Li, X. Huang and Y. Xia.
<br>
<em>ACM International Conference on Multimedia (<b>ACM MM</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2003.11228.pdf"; style="color: #EE7F2D;">arXiv</a>
<p><font color="red">Ranked No. 1 on <a href="http://shuoyang1213.me/WIDERFACE/WiderFace_Results.html"; style="color: #EE7F2D;"> <b>WIDER FACE</b></a></font></p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/HifiFace-IJCAI2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2106.09965.pdf">
<papertitle><b>HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping</b></papertitle>
</a>
<br>
Y. Wang*, X. Chen*, J. Zhu, W. Chu, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, C. Wang, J. Li, Y. Wu, F. Huang and R. Ji.
<br>
<em>International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2106.09965.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://johann.wang/HifiFace/"; style="color: #EE7F2D;">Project</a>
/
<a href="https://drive.google.com/file/d/1K9QsPX2Yw7iUtH33aoP-dTlQhnZLQuWC/view?usp=sharing"; style="color: #EE7F2D;">Poster</a>
/
<a href="https://drive.google.com/file/d/19i-4tJD7NxrqtmlRUl9l3M-FuMy7F2EG/view?usp=sharing"; style="color: #EE7F2D;">Video (1min)</a>
</p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/SPL-IJCAI2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2106.07220.pdf">
<papertitle><b>Context-Aware Image Inpainting with Learned Semantic Priors</b></papertitle>
</a>
<br>
W. Zhang, J. Zhu, <b>Y. Tai</b>, Y. Wang, W. Chu, B. Ni, C. Wang and X. Yang.
<br>
<em>International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2106.07220.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://arxiv.org/pdf/2112.04107.pdf"; style="color: #EE7F2D;">Extended journal version</a>
/
<a href="https://github.com/WendongZh/SPL"; style="color: #EE7F2D;">Code (Official)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/WendongZh/SPL.svg" alt="GitHub stars" title="" />
</p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/DRDG-IJCAI2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2106.16128.pdf">
<papertitle><b>Dual Reweighting Domain Generalization for Face Presentation Attack Detection</b></papertitle>
</a>
<br>
S. Liu, K. Zhang, T. Yao, K. Sheng, S. Ding, <b>Y. Tai</b>, J. Li, Y. Xie and L. Ma.
<br>
<em>International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2106.16128.pdf"; style="color: #EE7F2D;">arXiv</a>
</p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/SiamRCR-IJCAI2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2105.11237.pdf">
<papertitle><b>SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking</b></papertitle>
</a>
<br>
J. Peng*, Z. Jiang*, Y. Gu*, Y. Wu, Y. Wang, <b>Y. Tai</b>, C. Wang and W. Lin.
<br>
<em>International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2105.11237.pdf"; style="color: #EE7F2D;">arXiv</a>
</p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/3DFace_CVPR2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Learning_To_Aggregate_and_Personalize_3D_Face_From_In-the-Wild_Photo_CVPR_2021_paper.pdf">
<papertitle><b>Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection</b></papertitle>
</a>
<br>
Z. Zhang, Y. Ge, R. Chen, <b>Y. Tai</b>, Y. Yan, J. Yang, C. Wang, J. Li, and F. Huang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2021 <b style="color: red">[Oral]</b>
<br>
<a href="https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Learning_To_Aggregate_and_Personalize_3D_Face_From_In-the-Wild_Photo_CVPR_2021_paper.pdf"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://github.com/TencentYoutuResearch/3DFaceReconstruction-LAP"; style="color: #EE7F2D;">Code (Official)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/3DFaceReconstruction-LAP.svg" alt="GitHub stars" title="" />
</p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/AFSD_CVPR2021.png" style="height: 120px; width: 200px; margin-top: 10px">
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/abs/2103.13137">
<papertitle><b>Learning Salient Boundary Feature for Anchor-free Temporal Action Localization</b></papertitle>
</a>
<br>
C. Lin*, C. Xu*, D. Luo, Y. Wang, <b>Y. Tai</b>, C. Wang, J. Li, F. Huang and Y. Fu.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2021
<br>
<a href="https://arxiv.org/abs/2103.13137"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://openaccess.thecvf.com/content/CVPR2021/papers/Lin_Learning_Salient_Boundary_Feature_for_Anchor-free_Temporal_Action_Localization_CVPR_2021_paper.pdf"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://github.com/TencentYoutuResearch/ActionDetection-AFSD"; style="color: #EE7F2D;">Code (Official)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/ActionDetection-AFSD.svg" alt="GitHub stars" title="" />
</p>
</td><tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/REVIDE_CVPR2021.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Learning_To_Restore_Hazy_Video_A_New_Real-World_Dataset_and_CVPR_2021_paper.pdf"><papertitle><b>Learning to Restore Hazy Video: A New Real-World Dataset and A New Method</b></papertitle></a><br>
X. Zhang*, H. Dong*, J. Pan, C. Zhu, <b>Y. Tai</b>, C. Wang, J. Li, F. Huang and F. Wang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2021
<br>
<a href="https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Learning_To_Restore_Hazy_Video_A_New_Real-World_Dataset_and_CVPR_2021_paper.pdf"; style="color: #EE7F2D;">Paper</a>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/FCA_AAAI2021.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2012.10102.pdf"><papertitle><b>Frequency Consistent Adaptation for Real World Super Resolution</b></papertitle></a><br>
X. Ji*, G. Tao*, Y. Cao, <b>Y. Tai</b>, T. Lu, C. Wang, J. Li, and F. Huang.
<br>
<em>AAAI Conference on Artificial Intelligence (<b>AAAI</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2012.10102.pdf"; style="color: #EE7F2D;">arXiv</a>
</p>
<p><font color="red">Improved version of our prior work RealSR</font></p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/CMR_AAAI2021.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1ymzUV5HVsulyE-ADPPndZ-_E95WSfuln/view?usp=sharing"><papertitle><b>Learning Comprehensive Motion Representation for Action Recognition</b></papertitle></a><br>
M. Wu*, B. Jiang*, D. Luo, J. Yan, Y. Wang, <b>Y. Tai</b>, C. Wang, J. Li, F. Huang, and X. Yang.
<br>
<em>AAAI Conference on Artificial Intelligence (<b>AAAI</b>)</em>, 2021
<br>
<a href="https://drive.google.com/file/d/1ymzUV5HVsulyE-ADPPndZ-_E95WSfuln/view?usp=sharing"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/TencentYoutuResearch/ActionRecognition-CMR"; style="color: #EE7F2D;">Code (Official)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/ActionRecognition-CMR.svg" alt="GitHub stars" title="" />
</p>
<p><font color="red">Extented version of our prior works TEINet and TDRL</font></p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/D2AM_AAAI2021.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2105.02453.pdf"><papertitle><b>Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing</b></papertitle></a><br>
Z. Chen, T. Yao, K. Sheng, S. Ding, <b>Y. Tai</b>, J. Li, F. Huang, and X. Jin.
<br>
<em>AAAI Conference on Artificial Intelligence (<b>AAAI</b>)</em>, 2021
<br>
<a href="https://arxiv.org/pdf/2105.02453.pdf"; style="color: #EE7F2D;">arXiv</a>
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/SASNet_AAAI2021.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1YTcir2vUZ2zza39RSqq0wDNtt3oC90Pt/view?usp=sharing"><papertitle><b>To Choose or to Fuse? Scale Selection for Crowd Counting</b></papertitle></a><br>
Q. Song*, C. Wang*, Y. Wang, <b>Y. Tai</b>, C. Wang, J. Li, J. Wu, and J. Ma.
<br>
<em>AAAI Conference on Artificial Intelligence (<b>AAAI</b>)</em>, 2021
<br>
<a href="https://drive.google.com/file/d/1YTcir2vUZ2zza39RSqq0wDNtt3oC90Pt/view?usp=sharing"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://github.com/TencentYoutuResearch/CrowdCounting-SASNet"; style="color: #EE7F2D;">Code (Official)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/TencentYoutuResearch/CrowdCounting-SASNet" alt="GitHub stars" title="" />
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/FAN_ArXiv19.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/1911.11680.pdf"><papertitle><b>FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization</b></papertitle></a><br>
X. Yin, <b>Y. Tai</b>, Y. Huang and X. Liu.
<br>
<em>Asian Conference on Computer Vision (<b>ACCV</b>)</em>, 2020
<br>
<a href="https://arxiv.org/pdf/1911.11680.pdf"; style="color: #EE7F2D;">Paper</a>
</p>
<p><font color="red">Novel framework to improve surveillance face recognition & normalization from unpaired data</font></p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/DDL_Arxiv2020.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2002.03662.pdf"><papertitle><b>Improving Face Recognition from Hard Samples via Distribution Distillation Loss</b></papertitle></a><br>
Y. Huang*, P. Shen*, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, S. Li<b><span style="font-family:Wingdings">*</span></b>, X. Liu, J. Li, F. Huang, and R. Ji.
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2020
<br>
<a href="https://arxiv.org/pdf/2002.03662.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123750137.pdf"; style="color: #EE7F2D;">Paper (Official)</a>
/
<a href="https://github.com/Tencent/TFace"; style="color: #EE7F2D;">Code (Official)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/Tencent/TFace.svg" alt="GitHub stars" title="" />
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/SSCGAN_ECCV2020.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123600409.pdf"><papertitle><b>SSCGAN: Facial Attribute Editing via Style Skip Connections</b></papertitle></a><br>
W. Chu, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, C. Wang, J. Li, F. Huang, and R. Ji.
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2020
<br>
<a href="https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123600409.pdf"; style="color: #EE7F2D;">Paper (Official)</a>
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/DRL_ECCV2020.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2008.08250.pdf"><papertitle><b>Face Anti-Spoofing via Disentangled Representation Learning</b></papertitle></a><br>
K. Zhang, T. Yao, J. Zhang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, S. Ding, J. Li, F. Huang, H. Song and L. Ma.
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2020
<br>
<a href="https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123640630.pdf"; style="color: #EE7F2D;">Paper (Official)</a>
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/CTracker_ECCV2020.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2007.14557.pdf"><papertitle><b>Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End <br> Joint Multiple-Object Detection and Tracking</b></papertitle></a><br>
J. Peng, C. Wang, F. Wan, Y. Wu, Y. Wang, <b>Y. Tai</b>, C. Wang, J. Li, F. Huang and Y. Fu.
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2020 <b style="color: red">[Spotlight]</b>
<br>
<a href="https://arxiv.org/pdf/2007.14557.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490137.pdf"; style="color: #EE7F2D;">Paper (Official)</a>
/
<a href="https://github.com/pjl1995/CTracker"; style="color: #EE7F2D;">Code (Official)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/pjl1995/CTracker.svg" alt="GitHub stars" title="" />
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/TDRL_ECCV2020.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2007.07626.pdf"><papertitle><b>Temporal Distinct Representation Learning for 2D-CNN-based Action Recognition</b></papertitle></a><br>
J. Weng, D. Luo, Y. Wang, <b>Y. Tai</b>, C. Wang, J. Li, F. Huang, X. Jiang and J. Yuan. <br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2020
<br>
<a href="https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123520358.pdf"; style="color: #EE7F2D;">Paper (Official)</a>
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/HPE_arXiv2019.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2008.00697.pdf"><papertitle><b>Adversarial Semantic Data Augmentation for Human Pose Estimation</b></papertitle></a><br>
Y. Bin, X. Cao, X. Chen, Y. Ge, <b>Y. Tai</b>, C. Wang, J. Li, F. Huang, C. Gao and N. Sang.
<br>
<em>European Conference on Computer Vision (<b>ECCV</b>)</em>, 2020
<br>
<a href="https://arxiv.org/pdf/2008.00697.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123640596.pdf"; style="color: #EE7F2D;">Paper (Official)</a>
/
<a href="https://github.com/Binyr/ASDA"; style="color: #EE7F2D;">Code (Official)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/Binyr/ASDA.svg" alt="GitHub stars" title="" />
</p>
<p><font color="red">State-of-the-art performance on <a href="http://human-pose.mpi-inf.mpg.de/#results"; style="color: #EE7F2D;"> <b>MPII</b></a></font> and <a href="http://sam.johnson.io/research/lsp.html"; style="color: #EE7F2D;"> <b>LSP</b></a></font></p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/RealSR_CVPRW2020.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2005.01996.pdf"><papertitle><b>Real-World Super-Resolution via Kernel Estimation and Noise Injection</b></papertitle></a><br>
X. Ji, Y. Cao, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, C. Wang, J. Li, and F. Huang.
<br>
<em>Computer Vision and Pattern Recognition Workshop (<b>CVPRW</b>)</em>, 2020
<br>
<a href="https://openaccess.thecvf.com/content_CVPRW_2020/papers/w31/Ji_Real-World_Super-Resolution_via_Kernel_Estimation_and_Noise_Injection_CVPRW_2020_paper.pdf"; style="color: #EE7F2D;">Paper</a>
/
<a href="https://github.com/Tencent/Real-SR"; style="color: #EE7F2D;">Code (Tencent)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/Tencent/Real-SR.svg" alt="GitHub stars" title="" />
/
<a href="https://github.com/Tencent/Real-SR"; style="color: #EE7F2D;">Code (Personal)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/jixiaozhong/RealSR.svg" alt="GitHub stars" title="" />
/
<a href="https://github.com/nihui/realsr-ncnn-vulkan"; style="color: #EE7F2D;">Code (NCNN-vulkan)</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/nihui/realsr-ncnn-vulkan.svg" alt="GitHub stars" title="" />
</p>
<p><font color="red">Winner of <a href="https://openaccess.thecvf.com/content_CVPRW_2020/papers/w31/Ji_Real-World_Super-Resolution_via_Kernel_Estimation_and_Noise_Injection_CVPRW_2020_paper.pdf"; style="color: #EE7F2D;"><b>CVPR NTIRE 2020 Challenge on Real-World Super-Resolution</b></a></font></p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/CurricularFace_CVPR2020.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1nbmqKc7fDM3zrGFLDEghnhWw_Uu8yuQ6/view?usp=sharing"><papertitle><b>CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition</b></papertitle></a><br>
Y. Huang, Y. Wang, <b>Y. Tai</b><b><span style="font-family:Wingdings">*</span></b>, X. Liu, P. Shen, S. Li<b><span style="font-family:Wingdings">*</span></b>, J. Li, and F. Huang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2020
<br>
<a href="https://drive.google.com/file/d/1nbmqKc7fDM3zrGFLDEghnhWw_Uu8yuQ6/view?usp=sharing"; style="color: #EE7F2D;">Paper (Official)</a>
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<a href="https://github.com/HuangYG123/CurricularFace"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/HuangYG123/CurricularFace.svg" alt="GitHub stars" title="" />
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/UnsupervisedOpticalFlow_CVPR2020.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1b_M7RQQTb2fG67MjgXZsV8CTQNaAcCI6/view?usp=sharing"><papertitle><b>Learning by Analogy: Reliable Supervision from Transformations for <br> Unsupervised Optical Flow Estimation</b></papertitle></a><br>
L. Liu, J. Zhang, Y. Liu, Y. Wang, <b>Y. Tai</b>, D. Luo, C. Wang, J. Li, and F. Huang.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2020
<br>
<a href="https://drive.google.com/file/d/1b_M7RQQTb2fG67MjgXZsV8CTQNaAcCI6/view?usp=sharing"; style="color: #EE7F2D;">Paper (Official)</a>
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<a href="https://github.com/lliuz/ARFlow"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/lliuz/ARFlow.svg" alt="GitHub stars" title="" />
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/VideoReID_CVPR2020.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://drive.google.com/file/d/1qW8AUV2ErVQq6upTKozk7OyWMcSR5Bva/view?usp=sharing"><papertitle><b>Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification</b></papertitle></a><br>
Y. Yan, J. Qin, J. Chen, L. Liu, F. Zhu, <b>Y. Tai</b>, and L. Shao.
<br>
<em>Computer Vision and Pattern Recognition (<b>CVPR</b>)</em>, 2020
<br>
<a href="https://drive.google.com/file/d/1qW8AUV2ErVQq6upTKozk7OyWMcSR5Bva/view?usp=sharing"; style="color: #EE7F2D;">Paper (Official)</a>
/
<a href="https://github.com/daodaofr/hypergraph_reid"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/daodaofr/hypergraph_reid.svg" alt="GitHub stars" title="" />
</p>
</td></tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src="./projects/DBG_AAAI20.png" style="height: 120px; width: 200px; margin-top: 10px"></td>
<td style="padding:10px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/1911.04127.pdf"><papertitle><b>Fast Learning of Temporal Action Proposal via Dense Boundary Generator</b></papertitle></a><br>
C. Lin*, J. Li*, Y. Wang, <b>Y. Tai</b>, D. Luo, Z. Cui, C. Wang, J. Li, F. Huang and R. Ji.
<br>
<em>AAAI Conference on Artificial Intelligence (<b>AAAI</b>)</em>, 2020
<br>
<a href="https://arxiv.org/pdf/1911.04127.pdf"; style="color: #EE7F2D;">arXiv</a>
/
<a href="https://github.com/Tencent/ActionDetection-DBG"; style="color: #EE7F2D;">Code</a>
<img style="border: 0px;padding: 0px;border-radius: 5px;" src="https://img.shields.io/github/stars/Tencent/ActionDetection-DBG.svg" alt="GitHub stars" title="" />
<p><font color="red">Ranked No. 1 on <a href="http://activity-net.org/challenges/2019/evaluation.html"; style="color: #EE7F2D;"> <b>ActivityNet Challenge 2019 on Temporal Action Proposals</b></a></font></p>
</p>
</td></tr>