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 …

Biology provides examples of efficient machines which greatly outperform conventional
technology. Designers in neuromorphic engineering aim to construct electronic systems with …

Neuromorphic vision research requires high-quality and appropriately challenging event-
stream datasets to support continuous improvement of algorithms and methods. However …

Event-based cameras are bioinspired vision sensors whose pixels work independently from
each other and respond asynchronously to brightness changes, with microsecond …

Event cameras are an exciting, new sensor modality enabling high-speed imaging with
extremely low-latency and wide dynamic range. Unfortunately, most machine learning …

Dynamic Vision Sensor (DVS) event camera output includes uninformative background
activity (BA) noise events that increase dramatically under dim lighting. Existing denoising …

Neuromorphic data, recording frameless spike events, have attracted considerable attention
for the spatiotemporal information components and the event-driven processing fashion …

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 …

Recent years have witnessed remarkable achievements in video-based action recognition.
Apart from traditional frame-based cameras, event cameras are bio-inspired vision sensors …

Current neural networks are accumulating accolades for their performance on a variety of
real-world computational tasks including recognition, classification, regression, and …