1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model
Mounes Zaval, Sedat Ozer
In the evolving field of Explainable AI (XAI), interpreting the decisions of deep neural networks (DNNs) in computer vision tasks is an important process. While pixel-based XAI met…
cs.CV2024★ 1 cited
VisIRNet: Deep Image Alignment for UAV-taken Visible and Infrared Image Pairs
Sedat Ozer, Alain P. Ndigande
This paper proposes a deep learning based solution for multi-modal image alignment regarding UAV-taken images. Many recently proposed state-of-the-art alignment techniques rely on…
cs.CV2023
Offloading Deep Learning Powered Vision Tasks from UAV to 5G Edge Server with Denoising
Sedat Ozer, Enes Ilhan, Mehmet Akif Ozkanoglu +1
Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote server helps improve the battery life and can help reduce resource requirements. Deep learn…