Mohamed Abdelsamad
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PhD Student | |
| Postal address: |
Albert-Ludwigs-Universität Freiburg |
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| Office: | External | |
| Email: |
mohamed.abdelsamad@de.bosch.com |
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About me
- 02/2024 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
- 01/2022 – 12/2023: AI Engineer at Genera B.V
- 10/2019 - 12/2021: M.Sc. in Information Technology, University of Stuttgart
- 09/2014 - 06/2019: B.Sc. in Electronics Engineering, German University in Cairo, Cairo, Egypt
Research Interests
- Perception
- AI and Deep Learning
- Generative Modeling
Publications
View all my publications on Google Scholar
2023
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G. Eskandar, M. Abdelsamad, K. Armanious, B. Yang,
USIS: Unsupervised Semantic Image Synthesis
Computers & Graphics, Vol. 111, pp. 14-23, 2023.
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K. Guirguis, M. Abdelsamad, G. Eskandar, A. Hendawy, M. Kayser, B. Yang, J. Beyerer,
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 3749-3758, 2023.
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G. Eskandar, S. Zhang, M. Abdelsamad, M. Youssef, D. Guo, B. Yang,
A Semi-Paired Approach For Label-to-Image Translation
IEEE International Conference on Image Processing (ICIP), pp. 2225-2229, 2023.
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2022
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K. Guirguis, A. Hendawy, G. Eskandar, M. Abdelsamad, M. Kayser, J. Beyerer,
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 4038-4048, 2022.
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G. Eskandar, M. Abdelsamad, K. Armanious, S. Zhang, B. Yang,
Wavelet-Based Unsupervised Label-to-Image Translation
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1760-1764, 2022.
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