In recent years, everyday activities such as work and socialization have steadily shifted to
more remote and virtual settings. With the COVID-19 pandemic, the switch from physical to …

Event cameras are a type of novel neuromorphic sen-sor that has been gaining increasing
attention. Existing event-based backbones mainly rely on image-based designs to extract …

Wearable Augmented Reality (AR) has attracted considerable attention in recent years, as
evidenced by the growing number of research publications and industry investments. With …

In this paper, we present EV-Eye, a first-of-its-kind large scale multimodal eye tracking
dataset aimed at inspiring research on high-frequency eye/gaze tracking. EV-Eye utilizes an …

Event cameras are sensors of great interest for many applications that run in low-resource
and challenging environments. They log sparse illumination changes with high temporal …

Event cameras contain emerging, neuromorphic vision sensors that capture local-light​
intensity changes at each pixel, generating a stream of asynchronous events. This way of …

We introduce SUPREYES–a novel self-supervised method to increase the spatio-temporal
resolution of gaze data recorded using low (er)-resolution eye trackers. Despite continuing …

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 …

Gaze tracking is increasingly becoming an essential component in Augmented and Virtual
Reality. Modern gaze tracking algorithms are heavyweight; they operate at most 5 Hz on …

Recent research based on hand-eye coordination has shown that gaze could improve
object selection and translation experience under certain scenarios in AR. However, several …