4 citations · 13 across the 15 of their papers we have counts for
6 papers · 1 filter
Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection
Yu Guo, Shengfeng He, Yuxu Lu +5
Maritime object detection is essential for navigation safety, surveillance, and autonomous operations, yet constrained by two key challenges: the scarcity of annotated maritime dat…
Advanced Long-term Earth System Forecasting
Hao Wu, Yuan Gao, Ruijian Gou +30
Reliable long-term forecasting of Earth system dynamics is fundamentally limited by instabilities in current artificial intelligence (AI) models during extended autoregressive simu…
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…
VL-UR: Vision-Language-guided Universal Restoration of Images Degraded by Adverse Weather Conditions
Ziyan Liu, Yuxu Lu, Huashan Yu +1
Image restoration is critical for improving the quality of degraded images, which is vital for applications like autonomous driving, security surveillance, and digital content enha…
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…
Multi-Knowledge-oriented Nighttime Haze Imaging Enhancer for Vision-driven Intelligent Systems
Ai Chen, Yuxu Lu, Dong Yang +3
Salient object detection (SOD) plays a critical role in Intelligent Imaging, facilitating the detection and segmentation of key visual elements in an image. However, adverse imagin…