Yu Guo (郭彧)

OneRestore. [ECCV 2024] OneRestore: A Universal Restoration Framework for Composite Degradation

FVessel. [TITS 2023] Dataset-Asynchronous Trajectory Matching-based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

DeepSORVF. [TITS 2023] Method-Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

SCANet. [CVPRW 2023] SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing

Neptune-X. [NeurIPS 2025 Spotlight] Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection

TSDNet. [TII 2022] Deep Network-Enabled Haze Visibility Enhancement for Visual IoT-Driven Intelligent Transportation Systems

CoTIR. [Arxiv 2026] Universal Image Restoration via Internalized Chain-of-Thought Reasoning

Enhancement-Access. [Access 2020] Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression

DADFNet. [AAAIW 2022] DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation

LVENet. [JON 2022] Lightweight Deep Network-Enabled Real-Time Low-Visibility Enhancement for Promoting Vessel Detection in Maritime Video Surveillance

MSANN. [TAI 2023] Blind Image Despeckling Using Multi-Scale Attention-Guided Neural Network

Awesome-Maritime-Visual-Dataset.

gy65896.github.io. AcadHomepage: A Modern and Responsive Academic Personal Homepage

DADFNet_plus. [TVT 2023] Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation

HTDNet. [ITSC 2021] Heterogeneous Twin Dehazing Network for Visibility Enhancement in Maritime Video Surveillance

gy65896.