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cs.CV2025
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…
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.CV2025
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…