1 citations · 1 across the 2 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Resource Efficient Mountainous Skyline Extraction using Shallow Learning
Touqeer Ahmad, Ebrahim Emami, Martin Čadík +1
Skyline plays a pivotal role in mountainous visual geo-localization and localization/navigation of planetary rovers/UAVs and virtual/augmented reality applications. We present a no…
Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection
Touqeer Ahmad, Pavel Campr, Martin Čadík +1
Horizon or skyline detection plays a vital role towards mountainous visual geo-localization, however most of the recently proposed visual geo-localization approaches rely on \textb…