The brain is the perfect place to look for inspiration to develop more efficient neural
networks. The inner workings of our synapses and neurons provide a glimpse at what the …

The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …

This paper aims to present a comprehensive survey on information integration (II) in space
informatics. With an ever-increasing scale and dynamics of complex space systems, II has …

It has been more than two decades since the first neuromorphic Dynamic Vision Sensor
(DVS) sensor was invented, and many subsequent prototypes have been built with a wide …

This paper presents a long-term object tracking framework with a moving event camera
under general tracking conditions. A first of its kind for these revolutionary cameras, the …

Dynamic vision sensors (DVS) represent a promising new technology, offering low power
consumption, sparse output, high temporal resolution, and wide dynamic range. These …

Event cameras are bioinspired visual sensors that capture pixelwise intensity changes and
output asynchronous event streams. They show great potential over conventional cameras …

In this paper we delve into the nuanced challenge of tailoring the Segment Anything Models
(SAMs) for integration with event data with the overarching objective of attaining robust and …

An event camera is a novel bio-inspired sensor that effectively compensates for the
shortcomings of current frame cameras, which include high latency, low dynamic range …

Traditional frame-based cameras, despite their effectiveness and usage in computer vision,
exhibit limitations such as high latency, low dynamic range, high power consumption, and …