Yuhui Quan
31 papers · 2014–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(16)
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Dynamic Duo
(26)
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Topic Evolution
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Trend Setter
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Keyword Collector
(131)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Computer Vision
(22)
Machine Learning
(22)
Deep Learning
(21)
Processing
(19)
Learning Types Β· Deep Learning
(11)
Learning Types Β· Machine Learning
(10)
Architectures
(9)
Models
(7)
Core Methods
(6)
Analysis
(5)
Application Areas
(5)
Optimization & Theory
(5)
Techniques
(4)
Generation
(2)
Artificial Intelligence
(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
A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts
CVPR 2025
Fingerprinting Denoising Diffusion Probabilistic Models
CVPR 2025
Multi-Focus Image Fusion via Explicit Defocus Blur Modelling
AAAI 2025
Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling
CVPR 2025
Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models
AAAI 2025
Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation
NeurIPS 2024
Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising
NeurIPS 2024
Unsupervised Deep Unrolling Networks for Phase Unwrapping
CVPR 2024
Deep Video Demoireing via Compact Invertible Dyadic Decomposition
ICCV 2023
Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion
ICCV 2023
Fingerprinting Deep Image Restoration Models
ICCV 2023
Ground-Truth Free Meta-Learning for Deep Compressive Sampling
CVPR 2023
Neumann Network With Recursive Kernels for Single Image Defocus Deblurring
CVPR 2023
Single Image Defocus Deblurring via Implicit Neural Inverse Kernels
ICCV 2023
Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation
AAAI 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
Encoding Spatial Distribution of Convolutional Features for Texture Representation
NeurIPS 2021
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
NeurIPS 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
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis
CVPR 2016
Sparse Coding for Classification via Discrimination Ensemble
CVPR 2016
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning
ICCV 2015
l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence
CVPR 2014
Lacunarity Analysis on Image Patterns for Texture Classification
CVPR 2014