Event cameras (EC) represent a paradigm shift and are emerging as valuable tools in the
automotive industry, particularly for in-cabin and out-of-cabin monitoring. These cameras …

Event cameras, unlike traditional frame-based cameras, excel in detecting and reporting
changes in light intensity on a per-pixel basis. This unique technology offers numerous …

As asynchronous event data is more frequently engaged in various vision tasks, the risk of
backdoor attacks becomes more evident. However, research into the potential risk …

Driver Monitoring Systems (DMS) represent a promising approach for enhancing driver
safety within vehicular technologies. This research explores the integration of neuromorphic …

Recognizing faces and their underlying emotions is an important aspect of biometrics. In
fact, estimating emotional states from faces has been tackled from several angles in the …

Neuromorphic sensors, also known as event cameras, are a class of imaging devices
mimicking the function of biological visual systems. Unlike traditional frame-based cameras …

Event Cameras, also known as Neuromorphic sensors, capture changes in local light
intensity at the pixel level, producing asynchronously generated data termed``events''. This …

Traditional approaches for analyzing RGB frames are capable of providing a fine-grained
understanding of a face from different angles by inferring emotions, poses, shapes …

In recent years, drone detection has quickly become a subject of extreme interest: the
potential for fast-moving objects of contained dimensions to be used for malicious intents or …

The widespread use of visual surveillance in public areas puts individual privacy at stake
while also increasing resource usage (energy, bandwidth, and computation). Neuromorphic …