In recent decades, visual simultaneous localization and mapping (vSLAM) has gained
significant interest in both academia and industry. It estimates camera motion and …

Event-based semantic segmentation (ESS) is a fundamental yet challenging task for event
camera sensing. The difficulties in interpreting and annotating event data limit its scalability …

Object detection with event cameras benefits from the sensor's low latency and high
dynamic range. However it is costly to fully label event streams for supervised training due to …

Event cameras, with their high dynamic range and temporal resolution, are ideally suited for
object detection, especially under scenarios with motion blur and challenging lighting …

While recent Transformer-based approaches have shown impressive performances on
event-based object detection tasks their high computational costs still diminish the low …

Eye-tracking technology is integral to numerous consumer electronics applications
particularly in the realm of virtual and augmented reality (VR/AR). These applications …

In the field of robotics and autonomous navigation accurate pixel-level depth estimation has
gained significant importance. Event cameras or dynamic vision sensors capture …

In the era of AI at the edge, self-driving cars, and climate change, the need for energy-
efficient, small, embedded AI is growing. Spiking Neural Networks (SNNs) are a promising …

Event-based object detection has recently garnered attention in the computer vision
community due to the exceptional properties of event cameras, such as high dynamic range …

This paper introduces Helios, the first extremely low-power, real-time, event-based hand
gesture recognition system designed for all-day on smart eyewear. As augmented reality …