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.
no code implementations • 29 Sep 2021 • Xiaohu Jia, Zijia Niu, Wang Yao, Jinwei Liu
With the extensive research and application, some shortcomings of reinforcement learning methods are gradually revealed.
no code implementations • 8 Apr 2021 • Viktor Varkarakis, Wang Yao, Peter Corcoran
This work shows that an SoA neural face recognition model can be tuned to compensate for directional lighting effects, removing the need for a pre-processing step before applying facial recognition.