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 …

High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …

Abstract Neural Radiance Fields (NeRFs) have shown great potential in novel view
synthesis. However they struggle to render sharp images when the data used for training is …

Video anomaly understanding (VAU) aims to automatically comprehend unusual
occurrences in videos thereby enabling various applications such as traffic surveillance and …

We focus on a very challenging task: imaging at nighttime dynamic scenes. Most previous
methods rely on the low-light enhancement of a conventional RGB camera. However they …

Limited by the trade-off between frame rate and exposure time when capturing moving
scenes with conventional cameras, frame based HDR video reconstruction suffers from …

With frame-based cameras, capturing fast-moving scenes without suffering from blur often
comes at the cost of low SNR and low contrast. Worse still, the photometric constancy that …

Spike cameras leveraging spike-based integration sampling and high temporal resolution
offer distinct advantages over standard cameras. However existing approaches reliant on …

In many computer vision applications (eg, robotics and autonomous driving), high dynamic
range (HDR) data is necessary for object detection algorithms to handle a variety of lighting …

High dynamic range (HDR) images can record much more intensity levels than usual ones.
Existing methods mainly reconstruct HDR images from the 8-bit low dynamic range (LDR) …