2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2026★ 2 cited
Two-Step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real
Yan Yang, George Bebis, Mircea Nicolescu
The absence of large-scale masked face datasets challenges masked face detection and recognition. We propose a two-step generative data augmentation framework combining rule-based…
cs.CV2025
RaceGAN: A Framework for Preserving Individuality while Converting Racial Information for Image-to-Image Translation
Mst Tasnim Pervin, George Bebis, Fang Jiang +1
Generative adversarial networks (GANs) have demonstrated significant progress in unpaired image-to-image translation in recent years for several applications. CycleGAN was the firs…
cs.CV2025
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?
Sushmita Sarker, Prithul Sarker, George Bebis +1
The remarkable success of deep learning in recent years has prompted applications in medical image classification and diagnosis tasks. While classification models have demonstrated…