| TransBlast: Self-supervised learning using augmented subspace with transformer for background/foreground separation I Osman, M Abdelpakey, MS Shehata Proceedings of the IEEE/CVF International Conference on Computer Vision, 215-224, 2021 | 18 | 2021 |
| Task-based parameter isolation for foreground segmentation without catastrophic forgetting using multi-scale region and edges fusion network I Osman, A Eltantawy, MS Shehata Image and Vision Computing 113, 104248, 2021 | 15 | 2021 |
| Few-shot learning network for moving object detection using exemplar-based attention map I Osman, MS Shehata 2022 IEEE International Conference on Image Processing (ICIP), 1056-1060, 2022 | 10 | 2022 |
| Masked embedding modeling with rapid domain adjustment for few-shot image classification R Walsh, I Osman, MS Shehata IEEE Transactions on Image Processing 32, 4907-4920, 2023 | 9 | 2023 |
| Few-shot learning network for out-of-distribution image classification II Osman, MS Shehata IEEE Transactions on Artificial Intelligence 4 (6), 1579-1591, 2022 | 9 | 2022 |
| MODSiam: Moving object detection using siamese networks II Osman, MS Shehata 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2020 | 5 | 2020 |
| Mody-net: Moving object detection using multiscale output ensemble y-network II Osman, MS Shehata IEEE Canadian Journal of Electrical and Computer Engineering 44 (4), 491-496, 2021 | 3 | 2021 |
| Efficient image segmentation of RGB-D images II Fouad, S Rady, MGM Mostafa 2017 12th International Conference on Computer Engineering and Systems …, 2017 | 3 | 2017 |
| MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks A Gupta, I Osman, MS Shehata, JW Braun arXiv preprint arXiv:2407.14784, 2024 | 2 | 2024 |
| Self-supervised learning for foreground segmentation with a few amount of labeled images using transformers I Osman, MS Shehata International Conference on Advanced Intelligent Systems and Informatics, 14-25, 2022 | 2 | 2022 |
| Fully Self-Supervised Out-of-Domain Few-Shot Learning with Masked Autoencoders R Walsh, I Osman, O Abdelaziz, MS Shehata Journal of Imaging 10 (1), 2024 | 1 | 2024 |
| Indoor Scene Classification: A Comparative Study of Feature Detectors and Local Descriptors II Fouad, S Rady, MGM Mostafa Proceedings of the 10th International Conference on Informatics and Systems …, 2016 | 1 | 2016 |
| Learn By An Example Transformer For Domain Generalization In Video Object Segmentation I Osman, MS Shehata 2024 IEEE International Conference on Image Processing (ICIP), 4014-4020, 2024 | | 2024 |
| Universal Medical Imaging Model for Domain Generalization with Data Privacy A Radwan, I Osman, MS Shehata arXiv preprint arXiv:2407.14719, 2024 | | 2024 |
| Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation I Osman, MS Shehata arXiv preprint arXiv:2405.19525, 2024 | | 2024 |
| BgSub: a background subtraction model for effective moving object detection I Osman, MS Shehata Proceedings of the Asian Conference on Computer Vision, 1-14, 2024 | | 2024 |
| Domain Generalization for Foreground Segmentation Using Federated Learning I Osman, I Abdelfattah, MS Shehata International Symposium on Visual Computing, 251-263, 2023 | | 2023 |
| Continual Foreground Segmentation with Limited Data I Osman UNIVERSITY OF BRITISH COLUMBIA (Okanagan, 2023 | | 2023 |
| Continual foreground segmentation using limited data I Osman University of British Columbia, 2023 | | 2023 |
| Towards Real-Time RF Coil Failure Recognition Using Deep Transfer Learning S Nelson, K Mylostna, A Gupta, I Osman, TA Bjarnason, M Shehata, ... | | |
Mohamed Sami ShehataDepartment of Computer Science, University of British ColumbiaVerifisert e-postadresse på ubc.ca