84 citations · 90 across the 7 of their papers we have counts for
8 papers
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…
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
Sushmita Sarker, Prithul Sarker, Gunner Stone +4
Point cloud analysis has a wide range of applications in many areas such as computer vision, robotic manipulation, and autonomous driving. While deep learning has achieved remarkab…
MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer
Sushmita Sarker, Prithul Sarker, George Bebis +1
Traditional deep learning approaches for breast cancer classification has predominantly concentrated on single-view analysis. In clinical practice, however, radiologists concurrent…
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images
Prithul Sarker, Sushmita Sarker, George Bebis +1
Deep learning has made a breakthrough in medical image segmentation in recent years due to its ability to extract high-level features without the need for prior knowledge. In this…
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…