activity
20232026
most citedOneRestore: A Universal Restoration Framework for Composite Degradation

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Bridging the Gap Between Image Restoration and Navigational Safety in Hazy Conditions: A New Visibility Estimation Metric for Maritime Surveillance

Wentao Feng, Guobei Peng, Wengang Mao +1

Visibility distance is critical to maritime navigational safety because it determines the effective observation range of shipborne and shore-based monitoring systems. Under hazy co…

cs.AI2025

Graph Learning-Driven Multi-Vessel Association: Fusing Multimodal Data for Maritime Intelligence

Yuxu Lu, Kaisen Yang, Dong Yang +3

Ensuring maritime safety and optimizing traffic management in increasingly crowded and complex waterways require effective waterway monitoring. However, current methods struggle wi…

cs.CV2025

USRNet: Unified Scene Recovery Network for Enhancing Traffic Imaging under Multiple Adverse Weather Conditions

Yuxu Lu, Ai Chen, Dong Yang +1

Advancements in computer vision technology have facilitated the extensive deployment of intelligent transportation systems and visual surveillance systems across various applicatio…

cs.CV2024★ 3 cited

OneRestore: A Universal Restoration Framework for Composite Degradation

Yu Guo, Yuan Gao, Yuxu Lu +3

In real-world scenarios, image impairments often manifest as composite degradations, presenting a complex interplay of elements such as low light, haze, rain, and snow. Despite thi…

cs.CV2024

AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration

Yuxu Lu, Dong Yang, Yuan Gao +3

Scattering and attenuation of light in no-homogeneous imaging media or inconsistent light intensity will cause insufficient contrast and color distortion in the collected images, w…

cs.CV2023

Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance

Jingxiang Qu, Ryan Wen Liu, Chenjie Zhao +4

The accurate and efficient vessel draft reading (VDR) is an important component of intelligent maritime surveillance, which could be exploited to assist in judging whether the vess…

cs.CV2023★ 1 cited

DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation

Yu Guo, Ryan Wen Liu, Jiangtian Nie +5

Visual surveillance technology is an indispensable functional component of advanced traffic management systems. It has been applied to perform traffic supervision tasks, such as ob…