26 citations · 30 across the 12 of their papers we have counts for
11 papers · 1 filter
Locally Adaptive Decay Surfaces for High-Speed Face and Landmark Detection with Event Cameras
Paul Kielty, Timothy Hanley, Peter Corcoran
Event cameras record luminance changes with microsecond resolution, but converting their sparse, asynchronous output into dense tensors that neural networks can exploit remains a c…
A Lightweight 3D-CNN for Event-Based Human Action Recognition with Privacy-Preserving Potential
Mehdi Sefidgar Dilmaghani, Francis Fowley, Peter Corcoran
This paper presents a lightweight three-dimensional convolutional neural network (3DCNN) for human activity recognition (HAR) using event-based vision data. Privacy preservation is…
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…
Contactless Cardiac Pulse Monitoring Using Event Cameras
Mohamed Moustafa, Joseph Lemley, Peter Corcoran
Time event cameras are a novel technology for recording scene information at extremely low latency and with low power consumption. Event cameras output a stream of events that enca…
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…
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…
ChildDiffusion: Unlocking the Potential of Generative AI and Controllable Augmentations for Child Facial Data using Stable Diffusion and Large Language Models
Muhammad Ali Farooq, Wang Yao, Peter Corcoran
In this research work we have proposed high-level ChildDiffusion framework capable of generating photorealistic child facial samples and further embedding several intelligent augme…
Synthetic Face Ageing: Evaluation, Analysis and Facilitation of Age-Robust Facial Recognition Algorithms
Wang Yao, Muhammad Ali Farooq, Joseph Lemley +1
The ability to accurately recognize an individual's face with respect to human aging factor holds significant importance for various private as well as government sectors such as c…
LatentColorization: Latent Diffusion-Based Speaker Video Colorization
Rory Ward, Dan Bigioi, Shubhajit Basak +2
While current research predominantly focuses on image-based colorization, the domain of video-based colorization remains relatively unexplored. Most existing video colorization tec…
Synthesizing CTA Image Data for Type-B Aortic Dissection using Stable Diffusion Models
Ayman Abaid, Muhammad Ali Farooq, Niamh Hynes +2
Stable Diffusion (SD) has gained a lot of attention in recent years in the field of Generative AI thus helping in synthesizing medical imaging data with distinct features. The aim…
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN
Muhammad Ali Farooq, Wang Yao, Michael Schukat +2
This study explores the utilization of Dermatoscopic synthetic data generated through stable diffusion models as a strategy for enhancing the robustness of machine learning model t…