Event cameras are sensors of great interest for many applications that run in low-resource
and challenging environments. They log sparse illumination changes with high temporal …

Abstract We present Ev-NeRF, a Neural Radiance Field derived from event data. While
event cameras can measure subtle brightness changes in high frame rates, the …

Event cameras are ideally suited to capture High Dynamic Range (HDR) visual information
without blur but provide poor imaging capability for static or slowly varying scenes …

Event cameras are bio-inspired sensors that capture per-pixel asynchronous intensity
change rather than the synchronous absolute intensity frames captured by a classical …

Event cameras record sparse illumination changes with high temporal resolution and high
dynamic range. Thanks to their sparse recording and low consumption, they are increasingly …

Event-based cameras are popular for tracking fast-moving objects due to their high temporal
resolution, low latency, and high dynamic range. In this paper, we propose a novel algorithm …

This paper proposes a learning-based framework to associate event streams and intensity
frames under diverse camera baselines, to simultaneously benefit camera pose estimation …

Event cameras are bio-inspired dynamic vision sensors that respond to changes in image
intensity with a high temporal resolution, high dynamic range and low latency. These sensor …

The event sensor acquires large amounts of data as events are triggered at microsecond
time resolution. In this paper, a novel entropy coding-based method is proposed for …

Event cameras can show better performance than frame cameras in challenging scenarios,
such as fast-moving environments or high-dynamic-range scenes. However, it is still difficult …