The outdoor vision systems are frequently contaminated by rain streaks and raindrops,
which significantly degenerate the performance of visual tasks and multimedia applications …

Video Shadow Detection (VSD) aims to detect the shadow masks with frame sequence.
Existing works suffer from inefficient temporal learning. Moreover, few works address the …

Image dehazing, particularly with learning-based methods, has gained significant attention
due to its importance in real-world applications. However, relying solely on the RGB color …

In this paper, we study the challenging problem of simultaneously removing haze and
estimating depth from real monocular hazy videos. These tasks are inherently …

Snow degradations present formidable challenges to the advancement of computer vision
tasks by the undesirable corruption in outdoor scenarios. While current deep learning-based …

Automated outdoor vision-based applications have witnessed a growing demand in
everyday life. These applications, ranging from surveillance and traffic management to …