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Yuhui Quan

31 papers · 2014–2025 · 5 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (13)
🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (46) πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution 🀝 Dynamic Duo (26) πŸ† Keyword Champion (2) πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (131) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter

Conferences

CVPR (14) ICCV (7) NIPS (4) AAAI (3) ECCV (3)

Top co-authors

Hui Ji (26) Tongyao Pang (6) Yong Xu (5) Zhile Chen (4) Yan Huang (3) Jinxiu Liang (3) Ruotao Xu (3) Huan Zheng (2) Yuping Sun (2) Zicong Wu (2)

Research topics

Deep Learning (1)

Keywords

image restoration (10) dictionary learning (4) unsupervised learning (4) image denoising (4) sparse coding (4) convolutional neural network (4) implicit neural representation (3) defocus deblurring (3) neural network (3) self-supervised learning (3) deep learning (3) feature extraction (2) texture classification (2) image deblurring (2) diffusion model (2) model fingerprinting (2) attention mechanism (2) zero-shot learning (2) intellectual property (2) transformer architecture (2)

Papers

Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling CVPR 2025 Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models AAAI 2025 Multi-Focus Image Fusion via Explicit Defocus Blur Modelling AAAI 2025 A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts CVPR 2025 Fingerprinting Denoising Diffusion Probabilistic Models CVPR 2025 Unsupervised Deep Unrolling Networks for Phase Unwrapping CVPR 2024 Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation NIPS 2024 Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising NIPS 2024 Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion ICCV 2023 Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation AAAI 2023 Ground-Truth Free Meta-Learning for Deep Compressive Sampling CVPR 2023 Neumann Network With Recursive Kernels for Single Image Defocus Deblurring CVPR 2023 Deep Video Demoireing via Compact Invertible Dyadic Decomposition ICCV 2023 Fingerprinting Deep Image Restoration Models ICCV 2023 Single Image Defocus Deblurring via Implicit Neural Inverse Kernels ICCV 2023 Dual-Domain Self-Supervised Learning and Model Adaption for Deep Compressive Imaging ECCV 2022 Learning Deep Non-Blind Image Deconvolution without Ground Truths ECCV 2022 Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity CVPR 2021 Gaussian Kernel Mixture Network for Single Image Defocus Deblurring NIPS 2021 Encoding Spatial Distribution of Convolutional Features for Texture Representation NIPS 2021 Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising CVPR 2021 Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image CVPR 2020 Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing ECCV 2020 Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring CVPR 2020 Deep Learning for Seeing Through Window With Raindrops ICCV 2019 Estimating Defocus Blur via Rank of Local Patches ICCV 2017 Sparse Coding for Classification via Discrimination Ensemble CVPR 2016 Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis CVPR 2016 Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning ICCV 2015 Lacunarity Analysis on Image Patterns for Texture Classification CVPR 2014 l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence CVPR 2014