Fangfang Wu
10 papers · 2020–2026 · 4 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π€ Dynamic Duo (10)
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Research topics
Computer Vision
(10)
Processing
(6)
Deep Learning
(5)
Machine Learning
(5)
Optimization & Theory
(4)
Analysis
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Artificial Intelligence
(2)
Domain-Specific
(2)
Learning Types Β· Machine Learning
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
unsupervised learning
(2)
adversarial training
(2)
image classification
(1)
adversarial learning
(1)
domain generalization
(1)
image restoration
(1)
sparse coding
(1)
gaussian splatting
(1)
gaussian scale mixtures
(1)
background subtraction
(1)
model robustness
(1)
attention mechanism
(1)
motion blur
(1)
motion deblurring
(1)
zero-shot learning
(1)
corruption robustness
(1)
remote sensing
(1)
image super-resolution
(1)
video analysis
(1)
representation learning
(1)
Papers
IAFMNet: Information-Aware Feature Modulation for Efficient Super-Resolution
CVPR 2026
Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection
CVPR 2025
Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes
CVPR 2025
Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation
CVPR 2025
Parameterized Blur Kernel Prior Learning for Local Motion Deblurring
CVPR 2025
PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing
IJCAI 2025
Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention
ICCV 2023
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring
CVPR 2023
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution
IJCAI 2022
Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation
AAAI 2020