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Profil

SHABAYEK Abd El Rahman

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2

ORCID
0000-0001-8730-3765
Main Referenced Co-authors
AOUADA, Djamila  (35)
OTTERSTEN, Björn  (16)
OYEDOTUN, Oyebade  (9)
KACEM, Anis  (7)
Gusev, Gleb (6)
Main Referenced Keywords
Neural Network Compression (4); Artificial Intelligence (3); Deep Learning (3); 3D body scanning (2); 3DBodyTex (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM (12)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > CVI² - Computer Vision Imaging & Machine Intelligence (5)
See outside Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg (1)
Main Referenced Disciplines
Computer science (31)
Engineering, computing & technology: Multidisciplinary, general & others (4)
Aerospace & aeronautics engineering (2)
Electrical & electronics engineering (2)
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others (2)

Publications (total 36)

The most downloaded
1430 downloads
SAINT, A. F. A., AHMED, E., SHABAYEK, A. E. R., CHERENKOVA, K., Gusev, G., AOUADA, D., & OTTERSTEN, B. (2018). 3DBodyTex: Textured 3D Body Dataset. In 2018 Sixth International Conference on 3D Vision (3DV 2018). https://hdl.handle.net/10993/36414

The most cited

49 citations (Scopus®)

OYEDOTUN, O., DEMISSE, G., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2017). Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations. In 2017 IEEE International Conference on Computer Vision Workshop (ICCVW). doi:10.1109/ICCVW.2017.374 https://hdl.handle.net/10993/32087

SINGH, I. P., CHENNI, N. E., SHABAYEK, A. E. R., RATHINAM, A., & AOUADA, D. (2025). Bridging the Synthetic-Real Gap: Supervised Domain Adaptation for Robust Spacecraft 6-DoF Pose Estimation. Advanced Space Technologies in Robotics and Automation.
Editorial reviewed

ASTRID, M., SHABAYEK, A. E. R., & AOUADA, D. (08 September 2025). Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge [Paper presentation]. The 33rd European Signal Processing Conference (EUSIPCO 2025), Palermo, Italy.
Peer reviewed

SOSA MARTINEZ, J. A., PINEAU, D., RATHINAM, A., SHABAYEK, A. E. R., & AOUADA, D. (07 September 2025). MOTION AWARE VIT-BASED FRAMEWORK FOR MONOCULAR 6-DOF SPACECRAFT POSE ESTIMATION [Paper presentation]. 18th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA 2025), Leiden, Netherlands.

SHABAYEK, A. E. R., RATHINAM, A., RUTHVEN, M., AOUADA, D., & Amietszajew, T. (February 2025). AI-enabled thermal monitoring of commercial (PHEV) Li-ion pouch cells with Feature-Adapted Unsupervised Anomaly Detection. Journal of Power Sources, 629, 235982. doi:10.1016/j.jpowsour.2024.235982
Peer Reviewed verified by ORBi

RATHINAM, A., PAULY, L., SHABAYEK, A. E. R., RHARBAOUI, W., KACEM, A., GAUDILLIERE, V., & AOUADA, D. (January 2025). Hybrid Attention for Robust RGB-T Pedestrian Detection in Real-World Conditions. IEEE Robotics and Automation Letters, 10 (1), 1-8. doi:10.1109/LRA.2024.3504296
Peer Reviewed verified by ORBi

HERMARY, R., GAUDILLIERE, V., SHABAYEK, A. E. R., & AOUADA, D. (2025). Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation [Paper presentation]. WACV.
Peer reviewed

ROSTAMI ABENDANSARI, P., SINHA, N., CHENNI, N. E., KACEM, A., SHABAYEK, A. E. R., SHNEIDER, C., & AOUADA, D. (2025). Information Theoretic Pruning of Coupled Channels in Deep Neural Networks [Poster presentation]. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Usa. doi:10.1109/WACV61041.2025.00755
Peer reviewed

SINHA, N., ROSTAMI ABENDANSARI, P., SHABAYEK, A. E. R., KACEM, A., & AOUADA, D. (April 2024). Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity [Paper presentation]. Conference on Computer Vision and Pattern Recognition (CVPR) Workshop 2024, Seattle, United States.
Peer reviewed

SINHA, N., SHABAYEK, A. E. R., KACEM, A., ROSTAMI ABENDANSARI, P., SHNEIDER, C., & AOUADA, D. (2024). Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric. Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. doi:10.1109/WACV57701.2024.00261
Peer reviewed

SHNEIDER, C., ROSTAMI ABENDANSARI, P., KACEM, A., SINHA, N., SHABAYEK, A. E. R., & AOUADA, D. (19 July 2023). Impact of Disentanglement on Pruning Neural Networks [Paper presentation]. International Symposium on Computational Sensing (ISCS23), Luxembourg, Luxembourg. doi:10.48550/arXiv.2307.09994

SHNEIDER, C., ROSTAMI ABENDANSARI, P., KACEM, A., SINHA, N., SHABAYEK, A. E. R., & AOUADA, D. (20 June 2023). Impact of Disentanglement on Pruning Neural Networks [Poster presentation]. International Symposium on Computational Sensing (ISCS23), Luxembourg, Luxembourg. doi:10.5281/zenodo.8060029

SHNEIDER, C., SINHA, N., JAMROZIK, M. L., ASTRID, M., ROSTAMI ABENDANSARI, P., KACEM, A., SHABAYEK, A. E. R., & AOUADA, D. (19 April 2023). Compression of Deep Neural Networks for Space Autonomous Systems [Poster presentation]. Luxembourg Space Resources Week 2023, Luxembourg, Luxembourg. doi:10.5281/zenodo.7931156

Olivares-Mendez, M., Yalç\ina, B. C. C., Makhdoomia, M. R., Muralidharana, V., Bokala, Z., Del Castillob, M. O., Gaudilliereb, V., Paulyb, L., Borguec, O., Alandihallajc, M., THOEMEL, J., SKRZYPCZYK, E., RATHINAM, A., BARAD, K. R., SHABAYEK, A. E. R., HEIN, A., AOUADA, D., & Martinez, C. (2023). Establishing a Multi-Functional Space Operations Emulation Facility: Insights from the Zero-G Lab [Paper presentation]. Internal. doi:10.2139/ssrn.4602588

Olivares-Mendez, M., MAKHDOOMI, M. R., YALCIN, B. C., BOKAL, Z., MURALIDHARAN, V., Ortiz Del Castillo, M., GAUDILLIERE, V., PAULY, L., BORGUE, O., ALANDIHALLAJ, M., THOEMEL, J., SKRZYPCZYK, E., RATHINAM, A., BARAD, K. R., SHABAYEK, A. E. R., HEIN, A., AOUADA, D., & Martinez, C. (2023). Zero-G Lab: A multi-purpose facility for emulating space operations. Journal of Space Safety Engineering, 10 (4), 509–521. doi:10.1016/j.jsse.2023.09.003
Peer Reviewed verified by ORBi

OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2021). Revisiting the Training of Very Deep Neural Networks without Skip Connections [Poster presentation]. IEEE 2020 International Conference on Pattern Recognition (ICPR). doi:10.1109/ICPR48806.2021.9412508

SHABAYEK, A. E. R., & AOUADA, D. (2021). Dense and Sparse 3D Deformation Signatures for 3D Dynamic Face Recognition. IEEE Access, 9, 38687-38705. doi:10.1109/ACCESS.2021.3064179
Peer Reviewed verified by ORBi

GHORBEL, E., BAPTISTA, R., SHABAYEK, A. E. R., AOUADA, D., Gorostiza Oramaeche, M., Orcajo Lago, J., & Ortiz Fernandez, L. (2020). Home-based rehabilitation system for strokesurvivors: a clinical evaluation. Journal of Medical Systems. doi:10.1007/s10916-020-01661-z
Peer Reviewed verified by ORBi

OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2020). Improved Highway Network Block for Training Very Deep Neural Networks. IEEE Access. doi:10.1109/ACCESS.2020.3026423
Peer Reviewed verified by ORBi

SHABAYEK, A. E. R., AOUADA, D., CHERENKOVA, K., & Gusev, G. (2020). 3D SPARSE DEFORMATION SIGNATURE FOR DYNAMIC FACE RECOGNITION. In 27th IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi 25-28 October 2020.
Peer reviewed

OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2020). Deep network compression with teacher latent subspace learning and LASSO. Applied Intelligence. doi:10.1007/s10489-020-01858-2
Peer Reviewed verified by ORBi

OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2020). GOING DEEPER WITH NEURAL NETWORKS WITHOUT SKIP CONNECTIONS. In IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi, UAE, Oct 25–28, 2020.
Peer reviewed

SHABAYEK, A. E. R., AOUADA, D., CHERENKOVA, K., Gusev, G., & OTTERSTEN, B. (2020). 3D DEFORMATION SIGNATURE FOR DYNAMIC FACE RECOGNITION. In 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona 4-8 May 2020.
Peer reviewed

SHABAYEK, A. E. R., AOUADA, D., CHERENKOVA, K., & Gusev, G. (2020). Towards Automatic CAD Modeling from 3D Scan Sketch based Representation. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020), GRAPP (pp. 392-398).
Peer reviewed

SAINT, A. F. A., SHABAYEK, A. E. R., CHERENKOVA, K., Gusev, G., AOUADA, D., & OTTERSTEN, B. (2019). BODYFITR: Robust Automatic 3D Human Body Fitting. In Proceedings of the 2019 IEEE International Conference on Image Processing (ICIP). IEEE. doi:10.1109/ICIP.2019.8803819
Peer reviewed

Mohamed, M., SHABAYEK, A. E. R., El-Gayyar, M., & Nassar, H. (July 2019). An adaptive framework for real-time data reduction in AMI. Journal of King Saud University - Computer and Information Sciences, 31 (3), 392-402. doi:10.1016/j.jksuci.2018.02.012
Peer Reviewed verified by ORBi

BAPTISTA, R., GHORBEL, E., SHABAYEK, A. E. R., Moissenet, F., AOUADA, D., Douchet, A., André, M., Pager, J., & Bouilland, S. (2019). Home Self-Training: Visual Feedback for Assisting Physical Activity for Stroke Survivors. Computer Methods and Programs in Biomedicine. doi:10.1016/j.cmpb.2019.04.019
Peer Reviewed verified by ORBi

OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2018). Highway Network Block with Gates Constraints for Training Very Deep Networks. In 2018 IEEE International Conference on Computer Vision and Pattern Recognition Workshop, June 18-22, 2018.
Peer reviewed

BAPTISTA, R., GHORBEL, E., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2018). Key-Skeleton Based Feedback Tool for Assisting Physical Activity. In 2018 Zooming Innovation in Consumer Electronics International Conference (ZINC), 30-31 May 2018.
Peer reviewed

OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2018). IMPROVING THE CAPACITY OF VERY DEEP NETWORKS WITH MAXOUT UNITS. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing.
Peer reviewed

SAINT, A. F. A., AHMED, E., SHABAYEK, A. E. R., CHERENKOVA, K., Gusev, G., AOUADA, D., & OTTERSTEN, B. (2018). 3DBodyTex: Textured 3D Body Dataset. In 2018 Sixth International Conference on 3D Vision (3DV 2018).
Peer reviewed

SAINT, A. F. A., SHABAYEK, A. E. R., AOUADA, D., OTTERSTEN, B., Cherenkova, K., & Gusev, G. (2017). Towards Automatic Human Body Model Fitting to a 3D Scan. In N. D'APUZZO (Ed.), Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11-12 Oct. 2017 (pp. 274-280). Ascona, Switzerland: Hometrica Consulting. doi:10.15221/17.274
Peer reviewed

OYEDOTUN, O., DEMISSE, G., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2017). Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations. In 2017 IEEE International Conference on Computer Vision Workshop (ICCVW). doi:10.1109/ICCVW.2017.374
Peer reviewed

OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2017). Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections. In 24th International Conference on Neural Information Processing, Guangzhou, China, November 14–18, 2017.
Peer reviewed

SHABAYEK, A. E. R., BAPTISTA, R., PAPADOPOULOS, K., Demisse, G., OYEDOTUN, O., Antunes, M., AOUADA, D., OTTERSTEN, B., Anastassova, M., Boukallel, M., Panëels, S., Randall, G., André, M., Douchet, A., Bouilland, S., & Ortiz Fernandez, L. (2017). STARR - Decision SupporT and self-mAnagement system for stRoke survivoRs Vision based Rehabilitation System. In European Project Space on Networks, Systems and Technologies (pp. 69-80). SciTePress. doi:10.5220/0007902400690080

BAPTISTA, R., Antunes, M., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2017). Flexible Feedback System for Posture Monitoring and Correction. In IEEE International Conference on Image Information Processing (ICIIP).
Peer reviewed

SHABAYEK, A. E. R., AOUADA, D., SAINT, A. F. A., & OTTERSTEN, B. (2017). DEFORMATION TRANSFER OF 3D HUMAN SHAPES AND POSES ON MANIFOLDS. In IEEE International Conference on Image Processing, Beijing 17-20 Spetember 2017.
Peer reviewed

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