1 citations · 3 across the 13 of their papers we have counts for
11 papers · 1 filter
SynSacc: A Blender-to-V2E Pipeline for Synthetic Neuromorphic Eye-Movement Data and Sim-to-Real Spiking Model Training
Khadija Iddrisu, Waseem Shariff, Suzanne Little +1
The study of eye movements, particularly saccades and fixations, are fundamental to understanding the mechanisms of human cognition and perception. Accurate classification of these…
Autobiasing Event Cameras for Flickering Mitigation
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
Understanding and mitigating flicker effects caused by rapid variations in light intensity is critical for enhancing the performance of event cameras in diverse environments. This…
Benchmarking Microsaccade Recognition with Event Cameras: A Novel Dataset and Evaluation
Waseem Shariff, Timothy Hanley, Maciej Stec +2
Microsaccades are small, involuntary eye movements vital for visual perception and neural processing. Traditional microsaccade studies typically use eye trackers or frame-based ana…
Autobiasing Event Cameras
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
This paper presents an autonomous method to address challenges arising from severe lighting conditions in machine vision applications that use event cameras. To manage these condit…
Evaluating Image-Based Face and Eye Tracking with Event Cameras
Khadija Iddrisu, Waseem Shariff, Noel E. OConnor +2
Event Cameras, also known as Neuromorphic sensors, capture changes in local light intensity at the pixel level, producing asynchronously generated data termed ``events''. This dist…
Spiking-DD: Neuromorphic Event Camera based Driver Distraction Detection with Spiking Neural Network
Waseem Shariff, Paul Kielty, Joseph Lemley +1
Event camera-based driver monitoring is emerging as a pivotal area of research, driven by its significant advantages such as rapid response, low latency, power efficiency, enhanced…