39 citations · 155 across the 15 of their papers we have counts for
18 papers
From Review to Design: Ethical Multimodal Driver Monitoring Systems for Risk Mitigation, Incident Response, and Accountability in Automated Vehicles
Bilal Khana, Waseem Shariff, Rory Coyne +2
As vehicles transition toward higher levels of automation, Driver Monitoring Systems (DMS) have become essential for ensuring human oversight, safety, and regulatory compliance in…
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…
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…
A Comparative Study of Image-to-Image Translation Using GANs for Synthetic Child Race Data
Wang Yao, Muhammad Ali Farooq, Joseph Lemley +1
The lack of ethnic diversity in data has been a limiting factor of face recognition techniques in the literature. This is particularly the case for children where data samples are…
Will your Doorbell Camera still recognize you as you grow old
Wang Yao, Muhammad Ali Farooq, Joseph Lemley +1
Robust authentication for low-power consumer devices such as doorbell cameras poses a valuable and unique challenge. This work explores the effect of age and aging on the performan…
ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN
Muhammad Ali Farooq, Wang Yao, Gabriel Costache +1
In this research work, we proposed a novel ChildGAN, a pair of GAN networks for generating synthetic boys and girls facial data derived from StyleGAN2. ChildGAN is built by perform…
Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systems
Muhammad Ali Farooq, Waseem Shariff, Mehdi Sefidgar Dilmaghani +3
Optical sensors have played a pivotal role in acquiring real world data for critical applications. This data, when integrated with advanced machine learning algorithms provides mea…
Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge Devices
Muhammad Ali Farooq, Waseem Shariff, Faisal Khan +1
In this research work, we have proposed a thermal tiny-YOLO multi-class object detection (TTYMOD) system as a smart forward sensing system that should remain effective in all weath…
Event-based YOLO Object Detection: Proof of Concept for Forward Perception System
Waseem Shariff, Muhammad Ali Farooq, Joe Lemley +1
Neuromorphic vision or event vision is an advanced vision technology, where in contrast to the visible camera that outputs pixels, the event vision generates neuromorphic events ev…
Recurrent Super-Resolution Method for Enhancing Low Quality Thermal Facial Data
David O'Callaghan, Cian Ryan, Waseem Shariff +3
The process of obtaining high-resolution images from single or multiple low-resolution images of the same scene is of great interest for real-world image and signal processing appl…
Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems
Muhammad Ali Farooq, Waseem Shariff, Peter Corcoran
This study is focused on evaluating the real-time performance of thermal object detection for smart and safe vehicular systems by deploying the trained networks on GPU & single-boa…
Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)
Muhammad Ali Farooq, Peter Corcoran, Cosmin Rotariu +1
Object detection in thermal infrared spectrum provides more reliable data source in low-lighting conditions and different weather conditions, as it is useful both in-cabin and outs…
Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment
Muhammad Ali Farooq, Ammar Ali Khan, Ansar Ahmad +1
Image Super Resolution (SR) finds applications in areas where images need to be closely inspected by the observer to extract enhanced information. One such focused application is a…
Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies
Muhammad Ali Farooq, Peter Corcoran
Methods for generating synthetic data have become of increasing importance to build large datasets required for Convolution Neural Networks (CNN) based deep learning techniques for…
Performance Evaluation of Advanced Deep Learning Architectures for Offline Handwritten Character Recognition
Moazam Soomro, Muhammad Ali Farooq, Rana Hammad Raza
This paper presents a hand-written character recognition comparison and performance evaluation for robust and precise classification of different hand-written characters. The syste…
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
Muhammad Ali Farooq, Asma Khatoon, Viktor Varkarakis +1
Technology-assisted platforms provide reliable solutions in almost every field these days. One such important application in the medical field is the skin cancer classification in…
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers
Muhammad Ali Farooq, Muhammad Aatif Mobeen Azhar, Rana Hammad Raza
Technology aided platforms provide reliable tools in almost every field these days. These tools being supported by computational power are significant for applications that need se…