Event cameras are bio-inspired sensors that capture the per-pixel intensity changes
asynchronously and produce event streams encoding the time, pixel position, and polarity …

Slow shutter speed and long exposure time of frame-based cameras often cause visual blur
and loss of inter-frame information, degenerating the overall quality of captured videos. To …

Event-based cameras can measure intensity changes (called'events') with microsecond
accuracy under high-speed motion and challenging lighting conditions. With the active pixel …

In this paper, we propose an end-to-end learning framework for event-based motion
deblurring in a self-supervised manner, where real-world events are exploited to alleviate …

Recovering sharp video sequence from a motion-blurred image is highly ill-posed due to the
significant loss of motion information in the blurring process. For event-based cameras …

Event-based sensors, which have a response if the change of pixel intensity exceeds a
triggering threshold, can capture high-speed motion with microsecond accuracy. Assisted by …

Since the year 2000, there has been a noticeable increase in the wind energy industry. It
may be difficult to notice anomalous fluctuations in wind fan speed using conventional …

Video tampering methods have witnessed considerable progress in recent years. This is
partly due to the rapid development of advanced deep learning methods, and also due to …

Event-based motion deblurring has shown promising results by exploiting low-latency
events. However, current approaches are limited in their practical usage, as they assume the …

We present a joint learning scheme of video super-resolution and deblurring called VSRDB
to restore clean high-resolution (HR) videos from blurry low-resolution (LR) ones. This joint …