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Man Zhou

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 5:57 AM AMS

25

papers

207

total citations

papers (25)

Empowering Low-Light Image Enhancer through Customized Learnable Priors

PanFlowNet: A Flow-Based Deep Network for Pan-Sharpening

Frequency-Adaptive Pan-Sharpening with Mixture of Experts

Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network

NEURIPS 2022arXiv

Generalized Lightness Adaptation with Channel Selective Normalization

Probability-Based Global Cross-Modal Upsampling for Pansharpening

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-spectral Image Fusion

Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance

Memory-Augmented Deep Conditional Unfolding Network for Pan-Sharpening

Exposure Normalization and Compensation for Multiple-Exposure Correction

Spatial-Frequency Domain Information Integration for Pan-Sharpening

Frequency and Spatial Dual Guidance for Image Dehazing

Memory-Augmented Model-Driven Network for Pansharpening

Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery

Exploring Temporal Frequency Spectrum in Deep Video Deblurring

Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion

Pyramid Dual Domain Injection Network for Pan-sharpening

Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion

Image De-Raining via Continual Learning

Improving De-Raining Generalization via Neural Reorganization

Mutual Information-Driven Pan-Sharpening

Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction

Learning Sample Relationship for Exposure Correction

Ingredient-Oriented Multi-Degradation Learning for Image Restoration