Quan, Yuhui

31 publications

CVPR 2025 A Universal Scale-Adaptive Deformable Transformer for Image Restoration Across Diverse Artifacts Xuyi He, Yuhui Quan, Ruotao Xu, Hui Ji
CVPR 2025 Fingerprinting Denoising Diffusion Probabilistic Models Huan Teng, Yuhui Quan, Chengyu Wang, Jun Huang, Hui Ji
AAAI 2025 Multi-Focus Image Fusion via Explicit Defocus Blur Modelling Yuhui Quan, Xi Wan, Zitao Tang, Jinxiu Liang, Hui Ji
CVPR 2025 Zero-Shot Blind-Spot Image Denoising via Implicit Neural Sampling Yuhui Quan, Tianxiang Zheng, Zhiyuan Ma, Hui Ji
AAAI 2025 Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models Yan Huang, Xiaoshan Liao, Jinxiu Liang, Yuhui Quan, Boxin Shi, Yong Xu
NeurIPS 2024 Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation Tianjing Zhang, Yuhui Quan, Hui Ji
NeurIPS 2024 Pseudo-Siamese Blind-Spot Transformers for Self-Supervised Real-World Denoising Yuhui Quan, Tianxiang Zheng, Hui Ji
CVPR 2024 Unsupervised Deep Unrolling Networks for Phase Unwrapping Zhile Chen, Yuhui Quan, Hui Ji
ICCV 2023 Deep Video Demoireing via Compact Invertible Dyadic Decomposition Yuhui Quan, Haoran Huang, Shengfeng He, Ruotao Xu
ICCV 2023 Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion Yutao Jiang, Yang Zhou, Yuan Liang, Wenxi Liu, Jianbo Jiao, Yuhui Quan, Shengfeng He
ICCV 2023 Fingerprinting Deep Image Restoration Models Yuhui Quan, Huan Teng, Ruotao Xu, Jun Huang, Hui Ji
CVPR 2023 Ground-Truth Free Meta-Learning for Deep Compressive Sampling Xinran Qin, Yuhui Quan, Tongyao Pang, Hui Ji
CVPR 2023 Neumann Network with Recursive Kernels for Single Image Defocus Deblurring Yuhui Quan, Zicong Wu, Hui Ji
ICCV 2023 Single Image Defocus Deblurring via Implicit Neural Inverse Kernels Yuhui Quan, Xin Yao, Hui Ji
AAAI 2023 Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation Yuhui Quan, Zhile Chen, Tongyao Pang, Hui Ji
ECCV 2022 Dual-Domain Self-Supervised Learning and Model Adaption for Deep Compressive Imaging Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji
ECCV 2022 Learning Deep Non-Blind Image Deconvolution Without Ground Truths Yuhui Quan, Zhuojie Chen, Huan Zheng, Hui Ji
CVPR 2021 Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji
NeurIPS 2021 Encoding Spatial Distribution of Convolutional Features for Texture Representation Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, Yuhui Quan
NeurIPS 2021 Gaussian Kernel Mixture Network for Single Image Defocus Deblurring Yuhui Quan, Zicong Wu, Hui Ji
CVPR 2021 Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising Tongyao Pang, Huan Zheng, Yuhui Quan, Hui Ji
ECCV 2020 Self-Supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing Tongyao Pang, Yuhui Quan, Hui Ji
ICCV 2017 Estimating Defocus Blur via Rank of Local Patches Guodong Xu, Yuhui Quan, Hui Ji
CVPR 2016 Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis Yuhui Quan, Chenglong Bao, Hui Ji
CVPR 2016 Sparse Coding for Classification via Discrimination Ensemble Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang, Hui Ji
ICCV 2015 Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning Yuhui Quan, Yan Huang, Hui Ji
ECCV 2014 A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding Chenglong Bao, Yuhui Quan, Hui Ji
CVPR 2014 L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence Chenglong Bao, Hui Ji, Yuhui Quan, Zuowei Shen
CVPR 2014 Lacunarity Analysis on Image Patterns for Texture Classification Yuhui Quan, Yong Xu, Yuping Sun, Yu Luo
CVPR 2012 Contour-Based Recognition Yong Xu, Yuhui Quan, Zhuming Zhang, Hui Ji, Cornelia Fermüller, Morimichi Nishigaki, Daniel DeMenthon
ICCV 2011 Dynamic Texture Classification Using Dynamic Fractal Analysis Yong Xu, Yuhui Quan, Haibin Ling, Hui Ji