Most nighttime semantic segmentation studies are based on domain adaptation approaches
and image input. However, limited by the low dynamic range of conventional cameras …

Event cameras, offering extremely high temporal resolution and high dynamic range, have
brought a new perspective to addressing common object detection challenges (eg, motion …

Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

Spiking camera is a bio-inspired vision sensor that mimics the sampling mechanism of the
primate fovea, which has shown great potential for capturing high-speed dynamic scenes …

Event cameras offer many advantages over standard cameras due to their distinctive
principle of operation: low power, low latency, high temporal resolution and high dynamic …

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 …

Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical
neural networks, have a number of fundamental limitations in comparison with the …

Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …

In this paper, we propose an end-to-end learning framework for event-based motion
deblurring in a self-supervised manner, where real-world events are exploited to alleviate …

Spiking neural networks (SNNs) represent the most prominent biologically inspired
computing model for neuromorphic computing (NC) architectures. However, due to the …