Machine learning (ML) is a branch of artificial intelligence that has been developing at a
dynamic pace in recent years. ML is also linked with Big Data, which are huge datasets that …

Abstract Point-spread-function (PSF) engineering is a well-established computational
imaging technique that uses phase masks and other optical elements to embed extra …

Near-eye gaze estimation is a task that maps the recording of an eye captured by an
adjacent camera to the direction of a person's gaze in space. In contrast to frame-based …

This paper presents a new deep-learning architecture designed to enhance the spatial
synchronization between CMOS and event cameras by harnessing their complementary …

Advances in autonomous robotic networks have allowed for many applications in
communication, exploration, and monitoring. However, a major limitation in developing truly …

Emerging mobile virtual reality (VR) systems will require to continuously perform complex
computer vision tasks on ultra-high-resolution video frames through the execution of deep …

Machine vision-based methods are usually applied to detect impurities in transparent liquids
like water or alcohols. Oils have higher viscosity and lower light transmittance, so traditional …

Although mobile robots have on-board sensors to perform navigation, their efficiency in
completing paths can be enhanced by planning to avoid human interaction. Infrastructure …

This dissertation represents the culmination of years of dedicated research in the field of
Computer Vision, specifically focusing on Event-Based Vision for robotic perception tasks. It …

The work outlined here seeks to address the issue of detection and tracking of a moving
object using a moving Event-Based Sensor (EBS) camera. Others have solved this issue by …