As one of the core video semantic understanding tasks, Video Semantic Role Labeling
(VidSRL) aims to detect the salient events from given videos, by recognizing the predict …

Real driving-video dehazing poses a significant challenge due to the inherent difficulty in
acquiring precisely aligned hazy/clear video pairs for effective model training especially in …

Rendering novel view images is highly desirable for many applications. Despite recent
progress, it remains challenging to render high-fidelity and view-consistent novel views of …

Multiple complex degradations are coupled in low-quality video faces in the real world.
Therefore, blind video face restoration is a highly challenging ill-posed problem, requiring …

We propose a novel approach to animate human hair in a still portrait photo. Existing work
has largely studied the animation of fluid elements such as water and fire. However, hair …

Low-light video enhancement (LLVE) is an important yet challenging task with many
applications such as photographing and autonomous driving. Unlike single image low-light …

Demoiréing is the task of removing moiré patterns, which are commonly caused by the
interference between the screen and digital cameras. Although research on single image …

Storm nowcasting is critical and urgently needed. Recent advances in deep learning (DL)
have shown potential for improving nowcasting accuracy and predicting general low …

Moiré patterns occur when capturing images or videos on screens, severely degrading the
quality of the captured images or videos. Despite the recent progresses, existing video …

The problem of video demoiréing is a new challenge in video restoration. Unlike image
demoiréing, which involves removing static and uniform patterns, video demoiréing requires …