Chao Ren
16 papers · 2021–2025 · 9 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Silver 🔬 Deep Specialist (10) 🏆 Grand Slam
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Unstoppable · Bronze
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Prolific Year · Productive
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Top co-authors
Research topics
Machine Learning
(14)
Computer Vision
(11)
Deep Learning
(11)
Processing
(10)
Learning Types · Deep Learning
(9)
Learning Types · Machine Learning
(6)
Application Areas
(5)
Core Methods
(5)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Analysis
(3)
Learning Paradigms · Artificial Intelligence
(3)
Architectures
(2)
Learning Paradigms · Machine Learning
(2)
Models
(2)
Keywords
image restoration
(8)
unsupervised learning
(4)
federated learning
(3)
image denoising
(3)
knowledge distillation
(2)
generative adversarial network
(2)
model heterogeneous
(2)
generative model
(2)
representation learning
(2)
attention mechanism
(2)
feature extractor
(2)
image quality assessment
(2)
point cloud
(1)
model-based learning
(1)
knowledge transfer
(1)
feature extraction
(1)
semantic representation
(1)
self-supervised learning
(1)
gaussian splatting
(1)
class-incremental learning
(1)
Papers
Channel Consistency Prior and Self-Reconstruction Strategy Based Unsupervised Image Deraining
CVPR 2025
Degradation-Aware Feature Perturbation for All-in-One Image Restoration
CVPR 2025
Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance
WACV 2025
Efficient Heterogeneity-Aware Federated Active Data Selection
ICML 2025
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
CVPR 2025
HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes
ICLR 2025
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
AAAI 2025
Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
ECCV 2024
Dual Calibration-based Personalised Federated Learning
IJCAI 2024
Federated Model Heterogeneous Matryoshka Representation Learning
NeurIPS 2024
Unsupervised Blind Image Deblurring Based on Self-Enhancement
CVPR 2024
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation
CVPR 2023
Random Sub-Samples Generation for Self-Supervised Real Image Denoising
ICCV 2023
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
ICCV 2023
Enhanced Latent Space Blind Model for Real Image Denoising via Alternative Optimization
NeurIPS 2022
Adaptive Consistency Prior Based Deep Network for Image Denoising
CVPR 2021