| A survey on deep learning advances on different 3D data representations E Ahmed, A Saint, AER Shabayek, K Cherenkova, R Das, G Gusev, ... arXiv preprint arXiv:1808.01462, 2018 | 220 | 2018 |
| Image feature detectors and descriptors: foundations and applications AI Awad, M Hassaballah Springer, 2016 | 138 | 2016 |
| Vision based uav attitude estimation: Progress and insights AER Shabayek, C Demonceaux, O Morel, D Fofi Journal of Intelligent & Robotic Systems 65 (1), 295-308, 2012 | 115 | 2012 |
| Facial expression recognition via joint deep learning of rgb-depth map latent representations OK Oyedotun, G Demisse, A El Rahman Shabayek, D Aouada, ... Proceedings of the IEEE international conference on computer vision …, 2017 | 58 | 2017 |
| 3dbodytex: Textured 3d body dataset A Saint, E Ahmed, K Cherenkova, G Gusev, D Aouada, B Ottersten 2018 International Conference on 3D Vision (3DV), 495-504, 2018 | 34 | 2018 |
| Home self-training: Visual feedback for assisting physical activity for stroke survivors R Baptista, E Ghorbel, F Moissenet, D Aouada, A Douchet, M André, ... Computer methods and programs in biomedicine 176, 111-120, 2019 | 26 | 2019 |
| Rig Das, Gleb Gusev, Djamila Aouada, and Bjorn Ottersten. A survey on deep learning advances on different 3d data representations E Ahmed, A Saint, KC Abd El Rahman Shabayek arXiv preprint arXiv:1808.01462 3, 2018 | 26 | 2018 |
| IoT-based framework for crowd management MF Mohamed, AER Shabayek, M El-Gayyar Mobile Solutions and Their Usefulness in Everyday Life, 47-61, 2019 | 24 | 2019 |
| Rig Das, Gleb Gusev, Djamila Aouada, and Björn Ottersten. Deep learning advances on different 3d data representations: A survey E Ahmed, A Saint, KC Abd El Rahman Shabayek arXiv preprint arXiv:1808.01462 1, 2, 2018 | 23 | 2018 |
| Flexible feedback system for posture monitoring and correction R Baptista, M Antunes, D Aouada, B Ottersten 2017 Fourth International Conference on Image Information Processing (ICIIP …, 2017 | 22 | 2017 |
| Automatic classification of bright retinal lesions via deep network features I Sadek, M Elawady, AER Shabayek arXiv preprint arXiv:1707.02022, 2017 | 22 | 2017 |
| Zero-G Lab: A multi-purpose facility for emulating space operations M Olivares-Mendez, MR Makhdoomi, BC Yalçın, Z Bokal, V Muralidharan, ... Journal of Space Safety Engineering 10 (4), 509-521, 2023 | 20 | 2023 |
| Automatic nonlinear filtering and segmentation for breast ultrasound images M Elawady, I Sadek, AER Shabayek, G Pons, S Ganau Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016 | 20 | 2016 |
| Training very deep networks via residual learning with stochastic input shortcut connections OK Oyedotun, A El Rahman Shabayek, D Aouada, B Ottersten Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 19 | 2017 |
| Bodyfitr: robust automatic 3D human body fitting A Saint, K Cherenkova, G Gusev, D Aouada, B Ottersten 2019 IEEE International Conference on Image Processing (ICIP), 484-488, 2019 | 18 | 2019 |
| Improving the capacity of very deep networks with maxout units OK Oyedotun, D Aouada, B Ottersten 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 16 | 2018 |
| Handbook of Research on Advancements in Robotics and Mechatronics MK Habib IGI global, 2014 | 15 | 2014 |
| Data reduction in a cloud-based AMI framework with service-replication MF Mohamed, M El-Gayyar, AER Shabayek, H Nassar Computers & Electrical Engineering 69, 212-223, 2018 | 14 | 2018 |
| Face-GCN: A graph convolutional network for 3D dynamic face identification/recognition K Papadopoulos, A Kacem, A Shabayek, D Aouada arXiv preprint arXiv:2104.09145, 2021 | 13 | 2021 |
| Highway network block with gates constraints for training very deep networks OK Oyedotun, A El Rahman Shabayek, D Aouada, B Ottersten Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 13 | 2018 |
Djamila AouadaSenior Research Scientist, Interdisciplinary Centre for Security, Reliability, and Trust (SnTVerified email at uni.lu
