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most citedDerm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN

26 citations · 47 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024★ 26 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2021★ 21 cited

Towards End-to-End Neural Face Authentication in the Wild -- Quantifying and Compensating for Directional Lighting Effects

Viktor Varkarakis, Wang Yao, Peter Corcoran

The recent availability of low-power neural accelerator hardware, combined with improvements in end-to-end neural facial recognition algorithms provides, enabling technology for on…