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

12 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Synthesizing CTA Image Data for Type-B Aortic Dissection using Stable Diffusion Models

Ayman Abaid, Muhammad Ali Farooq, Niamh Hynes +2

Stable Diffusion (SD) has gained a lot of attention in recent years in the field of Generative AI thus helping in synthesizing medical imaging data with distinct features. The aim…

cs.HC2023

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

Muhammad Ali Farooq, Dan Bigioi, Rishabh Jain +3

Contemporary Human Computer Interaction (HCI) research relies primarily on neural network models for machine vision and speech understanding of a system user. Such models require e…

cs.CV202312 cited

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

Muhammad Ali Farooq, Wang Yao, Gabriel Costache +1

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. ChildGAN is built by perform…

cs.CV2023

Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge Devices

Muhammad Ali Farooq, Waseem Shariff, Faisal Khan +1

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 weath…

cs.CV20231 cited

Event-based YOLO Object Detection: Proof of Concept for Forward Perception System

Waseem Shariff, Muhammad Ali Farooq, Joe Lemley +1

Neuromorphic vision or event vision is an advanced vision technology, where in contrast to the visible camera that outputs pixels, the event vision generates neuromorphic events ev…