Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial
neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal …

Brain-inspired computer vision aims to learn from biological systems to develop advanced
image processing techniques. However, its progress so far is not impressing. We recognize …

DAVIS camera, streaming two complementary sensing modalities of asynchronous events
and frames, has gradually been used to address major object detection challenges (eg, fast …

Spike camera, a new type of neuromorphic visual sensor that imitates the sampling
mechanism of the primate fovea, can capture photons and output 40000 Hz binary spike …

As a bio-inspired sensor with high temporal resolution, the spiking camera has an enormous
potential in real applications, especially for motion estimation in high-speed scenes …

Spike camera is an emerging bio-inspired vision sensor with ultra-high temporal resolution.
It records scenes by accumulating photons and outputting continuous binary spike streams …

Spike camera is a kind of neuromorphic sensor that uses a novel``integrate-and-
fire''mechanism to generate a continuous spike stream to record the dynamic light intensity …

The main streams of human activity recognition (HAR) algorithms are developed based on
RGB cameras which usually suffer from illumination, fast motion, privacy preservation, and …

Neuromorphic cameras are emerging imaging technology that has advantages over
conventional imaging sensors in several aspects including dynamic range, sensing latency …

Neuromorphic sensors, specifically event cameras, revolutionize visual data acquisition by
capturing pixel intensity changes with exceptional dynamic range, minimal latency, and …