SINGH, I. P., GHORBEL, E., KACEM, A., RATHINAM, A., & AOUADA, D. (2024). Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification. IEEE/CVF WACV. Peer reviewed |
Mejri, N., Ghorbel, E., & Aouada, D. (2023). UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection. IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings. doi:10.1109/ICASSP49357.2023.10095983 Peer reviewed |
Dupont, E., Singh, I. P., Fuentes, L., Ali, S. A., Kacem, A., Ghorbel, E., & Aouada, D. (2023). You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 4: VISAPP. doi:10.5220/0011790900003417 Peer reviewed |
Singh, I. P., Oyedotun, O., Ghorbel, E., & Aouada, D. (2022). IML-GCN: Improved Multi-Label Graph Convolutional Network for Efficient yet Precise Image Classification. AAAI-22 Workshop Program-Deep Learning on Graphs: Methods and Applications. Peer reviewed |
Singh, I. P., Ghorbel, E., Oyedotun, O., & Aouada, D. (2022). MULTI LABEL IMAGE CLASSIFICATION USING ADAPTIVE GRAPH CONVOLUTIONAL NETWORKS (ML-AGCN). IEEE International Conference on Image Processing. Peer reviewed |
Garcia Sanchez, A., Mohamed Ali, M. A., Gaudilliere, V., Ghorbel, E., Al Ismaeil, K., Perez, M., & Aouada, D. (2021). LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network. Proceedings of Conference on Computer Vision and Pattern Recognition Workshops, 2048-2056. doi:10.1109/CVPRW53098.2021.00233 Peer reviewed |
Perez, M., Mohamed Ali, M. A., Garcia Sanchez, A., Ghorbel, E., Al Ismaeil, K., Le Henaff, P., & Aouada, D. (2021). Detection & Identification of On-Orbit Objects Using Machine Learning. European Conference on Space Debris, 8 (1). |
Mohamed Ali, M. A., Gaudilliere, V., Ghorbel, E., Al Ismaeil, K., Perez, M., Poucet, M., & Aouada, D. (2021). SPACECRAFT RECOGNITION LEVERAGING KNOWLEDGE OF SPACE ENVIRONMENT: SIMULATOR, DATASET, COMPETITION DESIGN, AND ANALYSIS. 2021 IEEE International Conference on Image Processing (ICIP). Peer reviewed |
Papadopoulos, K., Ghorbel, E., Aouada, D., & Ottersten, B. (2021). Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition. In International Conference on Pattern Recognition, Milan 10-15 January 2021. doi:10.1109/ICPR48806.2021.9413189 Peer reviewed |
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 |
Ghorbel, E., Demisse, G., Aouada, D., & Ottersten, B. (2020). Fast Adaptive Reparametrization (FAR) with Application to Human Action Recognition. IEEE Signal Processing Letters. doi:10.1109/LSP.2020.2983901 Peer Reviewed verified by ORBi |
Papadopoulos, K., Ghorbel, E., Oyedotun, O., Aouada, D., & Ottersten, B. (2020). DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera. In IEEE International Conference on Automatic Face and Gesture Recognition, Buenos Aires 18-22 May 2020. Peer reviewed |
Baptista, R., Ghorbel, E., Papadopoulos, K., Demisse, G., Aouada, D., & Ottersten, B. (2019). VIEW-INVARIANT ACTION RECOGNITION FROM RGB DATA VIA 3D POSE ESTIMATION. In IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, UK, 12–17 May 2019. Peer reviewed |
Ghorbel, E., Papadopoulos, K., Baptista, R., Pathak, H., Demisse, G., Aouada, D., & Ottersten, B. (2019). A View-invariant Framework for Fast Skeleton-based Action Recognition Using a Single RGB Camera. In 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Prague, 25-27 February 2018. Peer reviewed |
Papadopoulos, K., Demisse, G., Ghorbel, E., Antunes, M., Aouada, D., & Ottersten, B. (2019). Localized Trajectories for 2D and 3D Action Recognition. Sensors. doi:10.3390/s19163503 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 |
Papadopoulos, K., Ghorbel, E., Baptista, R., Aouada, D., & Ottersten, B. (2019). Two-stage RGB-based Action Detection using Augmented 3D Poses. In 18th International Conference on Computer Analysis of Images and Patterns SALERNO, 3-5 SEPTEMBER, 2019. 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 |
Ghorbel, E., Boutteau, R., Boonaert, J., Savatier, X., & Lecoeuche, S. (2018). Kinematic Spline Curves: A temporal invariant descriptor for fast action recognition. Image and Vision Computing, 77, 60--71. doi:10.1016/j.imavis.2018.06.004 Peer reviewed |
Ghorbel, E., Boonaert, J., Boutteau, R., Lecoeuche, S., & Savatier, X. (2018). An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition. Computer Vision and Image Understanding, 175, 32--43. doi:10.1016/j.cviu.2018.09.004 Peer reviewed |
Talha, S. A. W., Hammouche, M., Ghorbel, E., Fleury, A., & Ambellouis, S. (2018). Features and Classification Schemes for View-Invariant and Real-Time Human Action Recognition. IEEE Transactions on Cognitive and Developmental Systems, 10 (4), 894--902. doi:10.1109/TCDS.2018.2844279 Peer reviewed |
Ghorbel, E. (2017). Fast and accurate human action recognition using RGB-D cameras [Doctoral thesis, Normandie Université]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/39045 |
Hammouche, M., Ghorbel, E., Fleury, A., & Ambellouis, S. (2016). Toward a real time view-invariant 3D action recognition. In International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). Peer reviewed |
Ghorbel, E., Boutteau, R., Boonaert, J., Savatier, X., & Lecoeuche, S. (2016). Vers une reconnaissance en ligne d'actions à partir de caméras RGB-D. In Reconnaissance de Formes et Intelligence Artificielle. Peer reviewed |
Ghorbel, E., Boutteau, R., Bonnaert, J., Savatier, X., & Lecoeuche, S. (2016). A fast and accurate motion descriptor for human action recognition applications. In 2016 23rd International Conference on Pattern Recognition (ICPR). Peer reviewed |
Borotikar, B., Ghorbel, E., Mutsvangwa, T., Lempereur, M., & Burdin, V. (2015). Validation d'un Nouveau Modèle Statistique de Scapula Augmenté de Marqueurs Anatomiques. In TAIMA 2015: Traitement et Analyse de l'Information: Méthodes et Applications. Peer reviewed |
Borotikar, B., Ghorbel, E., Lempereur, M., Mutsvangwa, T., & Burdin, V. (2015). Evaluation of an anatomically augmented Statistical Shape Model of the scapula: Clinical validation and reliability of landmark selection. Submited to. Computer Methods in Biomechanics and Biomedical Engineering. Imaging and Visualization. Peer Reviewed verified by ORBi |
Ghorbel, E., Boutteau, R., Boonaert, J., Savatier, X., & Lecoeuche, S. (2015). 3D real-time human action recognition using a spline interpolation approach. In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). doi:10.1109/IPTA.2015.7367097 Peer reviewed |