9 citations · 13 across the 4 of their papers we have counts for
7 papers
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…
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…