![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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). ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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). ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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). ![]() |
![]() ![]() | 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 |