Search Results for author: Wang Yao

Found 8 papers, 0 papers with code

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

no code implementations10 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.

Few-Shot Learning Synthetic Data Generation

Synthetic Speaking Children -- Why We Need Them and How to Make Them

no code implementations8 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.

Will your Doorbell Camera still recognize you as you grow old

no code implementations8 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.

Face Recognition MORPH

ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN

no code implementations25 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.

Domain Adaptation Transfer Learning

Safe Exploration in Linear Equality Constraint

no code implementations29 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.

reinforcement-learning Reinforcement Learning (RL) +1

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

no code implementations8 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.

Face Recognition

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