4 papers
GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization
Mahmoud Soliman, Omar Abdelaziz, Ahmed Radwan +2
Domain generalization (DG) seeks robust Vision Transformer (ViT) performance on unseen domains. Efficiently adapting pretrained ViTs for DG is challenging; standard fine-tuning is…
Mutli-Level Autoencoder: Deep Learning Based Channel Coding and Modulation
Ahmad Abdel-Qader, Anas Chaaban, Mohamed S. Shehata
In this paper, we design a deep learning-based convolutional autoencoder for channel coding and modulation. The objective is to develop an adaptive scheme capable of operating at v…
A Novel Bounding Box Regression Method for Single Object Tracking
Omar Abdelaziz, Mohamed Sami Shehata
Locating an object in a sequence of frames, given its appearance in the first frame of the sequence, is a hard problem that involves many stages. Usually, state-of-the-art methods…
Beyond Traditional Single Object Tracking: A Survey
Omar Abdelaziz, Mohamed Shehata, Mohamed Mohamed
Single object tracking is a vital task of many applications in critical fields. However, it is still considered one of the most challenging vision tasks. In recent years, computer…