MODSiam: Moving Object Detection using Siamese Networks. - Islam I. Osman; Mohamed S. Shehata (CCECE, 2020)

TransBlast: Self-Supervised Learning Using Augmented Subspace with Transformer for Background/Foreground Separation. - Islam I. Osman; Mohamed H. Abdelpakey; Mohamed S. Shehata (ICCVW, 2021)

Task-based parameter isolation for foreground segmentation without catastrophic forgetting using multi-scale region and edges fusion network. - Islam I. Osman; Agwad ElTantawy; Mohamed S. Shehata (Image Vis. Comput., 2021)

Self-supervised Learning for Foreground Segmentation with a Few Amount of Labeled Images Using Transformers. - Islam I. Osman; Mohamed S. Shehata (AISI, 2022)

Few-Shot Learning Network for Moving Object Detection Using Exemplar-Based Attention Map. - Islam I. Osman; Mohamed S. Shehata (ICIP, 2022)

Domain Generalization for Foreground Segmentation Using Federated Learning. - Islam I. Osman; Islam Abdelfattah; Mohamed S. Shehata (ISVC (1), 2023)

Masked Embedding Modeling With Rapid Domain Adjustment for Few-Shot Image Classification. - Reece Walsh; Islam I. Osman; Mohamed S. Shehata (IEEE Trans. Image Process., 2023)

Few-Shot Learning Network for Out-of-Distribution Image Classification. - Islam I. Osman; Mohamed S. Shehata (IEEE Trans. Artif. Intell., 2023)

BgSub: A Background Subtraction Model for Effective Moving Object Detection. - Islam I. Osman; Mohamed S. Shehata (ACCV Workshops (1), 2024)

Learn By An Example Transformer For Domain Generalization In Video Object Segmentation. - Islam I. Osman; Mohamed S. Shehata (ICIP, 2024)

Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation. - Islam I. Osman; Mohamed S. Shehata (CoRR, 2024)

Universal Medical Imaging Model for Domain Generalization with Data Privacy. - Ahmed Radwan; Islam I. Osman; Mohamed S. Shehata (CoRR, 2024)

MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks. - Anubhav Gupta; Islam I. Osman; Mohamed S. Shehata; W. John Braun (CoRR, 2024)

Fully Self-Supervised Out-of-Domain Few-Shot Learning with Masked Autoencoders. - Reece Walsh; Islam I. Osman; Omar Abdelaziz; Mohamed S. Shehata (J. Imaging, 2024)