Yuanhao Cai

I am currently a 1st year PhD student in the department of Computer Science, Johns Hopkins University. I am a member of CCVL, advised by Bloomberg Distinguished Professor Dr. Alan Yuille. Previously, I received my MSE and BSE degrees from Tsinghua University in 2023 and 2020. My master advisor is prof. Haoqian Wang. During my study in Tsinghua University, I spent a good time with prof. Yulun Zhang, prof. Xin Yuan, prof. Radu Timofte, and prof. Luc Van Gool.

GitHub  /  Google Scholar  /  ZhiHu

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Honor and Award

Excellent Graduate of Tsinghua University, 2023

Excellent Master Thesis Award, Tsinghua University, 2023

Outstanding Reviewer Award at CVPR, 2023

Top-10 Talented Graduate Student Finalist, Tsinghua University, 2022

National Scholarship, Tsinghua University, 2022

Winner of NTIRE Spectral Reconstruction Challenge at CVPR, 2022

National Scholarship, Tsinghua University, 2021

Winner of COCO Keypoint Detection Challenge at ECCV, 2020

Winner of COCO Keypoint Detection Challenge at ICCV, 2019

Best Paper Award of Joint COCO and Mapillary Recognition Challenge Workshop at ICCV, 2019

2nd Place of AdultSize Drop-In Challenge at RoboCup World Final, 2019

2nd Place of AdultSize Technical Challenge at RoboCup World Final, 2019

3rd Place of AdultSize Soccer Competition at RoboCup World Final, 2019

Learning Progress Scholarship, Tsinghua University, 2019

Science and Technology Innovation Excellence Scholarship, Tsinghua University, 2019

Publication

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Structure-Aware Sparse-View X-ray 3D Reconstruction



Yuanhao Cai , jiahao Wang, Zongwei Zhou, Angtian Wang, Alan Yuille
arxiv, 2023
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A NeRF algorithm capturing structures for large-scale X-ray 3D reconstruction

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Binarized Spectral Compressive Imaging



Yuanhao Cai , Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang, Haoqian Wang
Advances in Neural Information Processing Systems (NeurIPS), 2023
paper / project / zhihu / bibtex

An Efficient Retinex-based method for Low-light Image Enhancement

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Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset



Jing Lin *, Ailing Zeng *, Shunling Lu *, Yuanhao Cai , Ruimao Zhang, Haoqian Wang, Lei Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2023
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A large-scale human motion benchmark with text description

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Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement



Yuanhao Cai , Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang
International Conference on Computer Vision (ICCV), 2023
paper / project / zhihu / bibtex

An Efficient Retinex-based method for Low-light Image Enhancement

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Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging



Yuanhao Cai *, Jing Lin *, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool
Advances in Neural Information Processing Systems (NeurIPS), 2022
paper / project / zhihu / bibtex

The first Transformer-based deep unfolding method for spectral compressive imaging

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Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction



Yuanhao Cai *, Jing Lin *, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool
European Conference on Computer Vision (ECCV), 2022
paper / project / zhihu / bibtex

A novel SOTA Transformer-based method for hyperspectral image reconstruction

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Flow-Guided Sparse Transformer for Video Deblurring



Jing Lin *, Yuanhao Cai *, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool
International Conference on Machine Learning (ICML), 2022
paper / project / bibtex

The first Transformer-based method for video deblurring

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Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration



Jing Lin *, Xiaowan Hu *, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool
International Conference on Machine Learning (ICML), 2022
paper / project / bibtex

The first Sequence-to-Sequence model for video restoration

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MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction



Yuanhao Cai *, Jing Lin *, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool
Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2022
paper / project / zhihu / bibtex

Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB. The first Transformer-based method for spectral reconstruction. A baseline and toolbox.

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Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction



Yuanhao Cai *, Jing Lin *, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
paper / project / zhihu / bibtex

The first Transformer-based method for hyperspectral image reconstruction

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HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging



Xiaowan Hu *, Yuanhao Cai *, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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Dual-domain learning for hyperspectral image reconstruction

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RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark



Zhuo Deng *, Yuanhao Cai *, Lu Chen, Zheng Gong, Qiqi Bao, Xue Yao, Dong Fang, Shaochong Zhang, Lan Ma
IEEE Journal of Biomedical and Health Informatics (J-BHI), 2022
paper / project / bibtex

The first clinical benchmark and Transformer-based method for fundus image restoration

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Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training



Yuanhao Cai , Xiaowan Hu, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Donglai Wei
Advances in Neural Information Processing Systems (NeurIPS), 2021
paper / project / leaderboard / bibtex

A GAN for real noisy image generation

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Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising



Xiaowan Hu, Yuanhao Cai, Zhihong Liu, Haoqian Wang, Yulun Zhang
International Joint Conference on Artificial Intelligence (IJCAI), Oral, 2021
paper / project / bibtex

A semi-supervised method for real image denoising

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Pseudo 3D Auto-Correlation Network for Real Image Denoising



Xiaowan Hu, Ruijun Ma, Zhihong Liu, Yuanhao Cai , Xiaole Zhao, Yulun Zhang, Haoqian Wang
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
paper / project / bibtex

An efficient architecture for image denoising

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Efficient Human Pose Estimation by Learning Deeply Aggregated Representations



Zhengxion Luo, Zhicheng Wang, Yuanhao Cai , Guan'an Wang, Liang Wang, Yan Huang, ErJin Zhou, Tieniu Tan, Jian Sun
International Conference on Multimedia and Expo (ICME), Oral, 2021
paper / project / bibtex

An DenseNet-like backbone for efficient human pose estimation

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Pyramid Orthogonal Attention Network based on Dual Self-Similarity for Accurate Mr Image Super-Resolution



Xiaowan Hu, Haoqian Wang, Yuanhao Cai , Xiaole Zhao, Yulun Zhang
International Conference on Multimedia and Expo (ICME), 2021
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A novel self-attention mechanism for MR image super-resolution

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Learning Delicate Local Representations for Multi-Person Pose Estimation



Yuanhao Cai *, Zhicheng Wang *, Zhengxion Luo, Binyi Yin, Ang'ang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, ErJin Zhou, Jian Sun
European Conference on Computer Vision (ECCV), Spotlight, 2020
paper / project / zhihu / leaderboard / bibtex

A multi-stage structure and an attention mechanism for accurate human pose estimation

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UDP++



Junjie Huang *, Zengguang Shan *, Yuanhao Cai *, Feng Guo, Yun Ye, Xinze Chen, Zheng Zhu, Guan Huang, Jiwen Lu, Dalong Du
European Conference on Computer Vision Workshop (ECCVW), Oral, 2020
paper / project / zhihu / leaderboard / bibtex

Winner of COCO Keypoint Detection Challenge, 2020

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EG^2N: Enhanced Gradient Guiding Network for Single MR Image Super-Resolution



Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Yanbin Peng, Yulun Zhang
Optoelectronic Imaging and Multimedia Technology VII 11550, 115500I, 2020
paper / project / bibtex

A novel gradient guiding mechanism for MR image super-resolution

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Res-Steps-Net for Multi-Person Pose Estimation



Yuanhao Cai *, Zhicheng Wang *, Binyi Yin, Ruihao Yin, Angang Du, Zhengxion Luo, Zeming Li, Xinyu Zhou, Gang Yu, ErJin Zhou, Xiangyu Zhang, Yichen Wei, Jian Sun
International Conference on Computer Vision Workshop (ICCVW), Best Paper Award, 2019
paper / project / zhihu / leaderboard / bibtex

Winner of COCO Keypoint Detection Challenge, 2019



Peer Reviewer

Conference: CVPR, ICML, ECCV, ICCV, NeurIPS, AAAI, ACM MM, IJCAI, ICME

Journal: TIP, IJCV, TNNLS, Pattern Recognition