3 papers
cs.CV2024
Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization
Hongtao Wu, Yijun Yang, Angelica I Aviles-Rivero +4
Snow degradations present formidable challenges to the advancement of computer vision tasks by the undesirable corruption in outdoor scenarios. While current deep learning-based de…
cs.CV2024
RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
Hongtao Wu, Yijun Yang, Huihui Xu +3
The outdoor vision systems are frequently contaminated by rain streaks and raindrops, which significantly degenerate the performance of visual tasks and multimedia applications. Th…
cs.CV2024
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
Yijun Yang, Hongtao Wu, Angelica I. Aviles-Rivero +3
Real-world vision tasks frequently suffer from the appearance of unexpected adverse weather conditions, including rain, haze, snow, and raindrops. In the last decade, convolutional…