no code implementations • 10 Feb 2024 • Ayman Abaid, Muhammad Ali Farooq, Niamh Hynes, Peter Corcoran, Ihsan Ullah
It has been shown that Cardiac CTA images can be successfully generated using using Text to Image (T2I) stable diffusion model.
no code implementations • 10 Jan 2024 • Muhammad Ali Farooq, Wang Yao, Michael Schukat, Mark A Little, Peter Corcoran
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 training.
no code implementations • 8 Nov 2023 • Muhammad Ali Farooq, Dan Bigioi, Rishabh Jain, Wang Yao, Mariam Yiwere, Peter Corcoran
Contemporary Human Computer Interaction (HCI) research relies primarily on neural network models for machine vision and speech understanding of a system user.
no code implementations • 8 Aug 2023 • Wang Yao, Muhammad Ali Farooq, Joseph Lemley, Peter Corcoran
The lack of ethnic diversity in data has been a limiting factor of face recognition techniques in the literature.
no code implementations • 8 Aug 2023 • Wang Yao, Muhammad Ali Farooq, Joseph Lemley, Peter Corcoran
This work explores the effect of age and aging on the performance of facial authentication methods.
no code implementations • 25 Jul 2023 • Muhammad Ali Farooq, Waseem Shariff, Mehdi Sefidgar Dilmaghani, Wang Yao, Moazam Soomro, Peter Corcoran
Optical sensors have played a pivotal role in acquiring real world data for critical applications.
no code implementations • 25 Jul 2023 • Muhammad Ali Farooq, Wang Yao, Gabriel Costache, Peter Corcoran
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.
1 code implementation • 18 Jan 2023 • Muhammad Ali Farooq, Waseem Shariff, Faisal Khan, Peter Corcoran
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 weather and harsh environmental conditions using an end-to-end YOLO deep learning framework.
no code implementations • 14 Dec 2022 • Waseem Shariff, Muhammad Ali Farooq, Joe Lemley, Peter Corcoran
The focus is on building efficient state-of-the-art object detection networks with better inference results for fast-moving forward perception using an event camera.
no code implementations • 21 Sep 2022 • David O'Callaghan, Cian Ryan, Waseem Shariff, Muhammad Ali Farooq, Joseph Lemley, Peter Corcoran
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 applications.
no code implementations • 5 Jan 2022 • 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-board EDGE-GPU computing platforms for onboard automotive sensor suite testing.
no code implementations • 20 Sep 2021 • Muhammad Ali Farooq, Peter Corcoran, Cosmin Rotariu, Waseem Shariff
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 outside for pedestrian, animal, and vehicular detection as well as for detecting street-signs & lighting poles.
no code implementations • 8 Jul 2021 • Muhammad Ali Farooq, Ammar Ali Khan, Ansar Ahmad, Rana Hammad Raza
By analyzing and comparing the performance of all the algorithms, a Convolutional Neural Network (CNN) based SR technique using an external dictionary proved to be best by achieving robust face detection accuracy and scoring optimal quantitative metric results under different surveillance conditions.
no code implementations • 5 May 2020 • Muhammad Ali Farooq, Peter Corcoran
The same technique is also used on our thermal face data acquired using prototype thermal camera (developed under Heliaus EU project) in an indoor lab environment which is then used for generating synthetic 3D face data along with varying yaw face angles and lastly facial depth map is generated.
no code implementations • 15 Mar 2020 • Moazam Soomro, Muhammad Ali Farooq, Rana Hammad Raza
The local dataset consists of 62 classes and was created by 40 subjects.
no code implementations • 13 Mar 2020 • Muhammad Ali Farooq, Asma Khatoon, Viktor Varkarakis, Peter Corcoran
The experimental results demonstrate notable improvement in train and validation accuracy by using the refined version of images of both the networks, however, the Inception-v3 network was able to achieve better validation accuracy thus it was finally selected to evaluate it on test data.
no code implementations • 13 Mar 2020 • Muhammad Ali Farooq, Muhammad Aatif Mobeen Azhar, Rana Hammad Raza
Technology aided platforms provide reliable tools in almost every field these days.