Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …

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 …

Once an academic venture, autonomous driving has received unparalleled corporate
funding in the last decade. Still, operating conditions of current autonomous cars are mostly …

State-of-the-art frame interpolation methods generate intermediate frames by inferring object
motions in the image from consecutive key-frames. In the absence of additional information …

Traditional frame-based cameras inevitably suffer from motion blur due to long exposure
times. As a kind of bio-inspired camera, the event camera records the intensity changes in …

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 …

Abstract Neural Radiance Fields (NeRF) achieves impressive ren-dering performance by
learning volumetric 3D representation from several images of different views. However, it is …

Event cameras are novel vision sensors that report per-pixel brightness changes as a
stream of asynchronous “events”. They offer significant advantages compared to standard …

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 …

The performance of video frame interpolation is inherently correlated with the ability to
handle motion in the input scene. Even though previous works recognize the utility of …