![]() ![]() | ASTRID, M., GHORBEL, E., & AOUADA, D. (October 2024). Statistics-aware Audio-visual Deepfake Detector [Paper presentation]. IEEE International Conference on Image Processing (ICIP 2024), Abu Dhabi, United Arab Emirates. ![]() |
![]() ![]() | ASTRID, M., GHORBEL, E., & AOUADA, D. (August 2024). Targeted Augmented Data for Audio Deepfake Detection [Paper presentation]. 32nd European Signal Processing Conference (EUSIPCO 2024), Lyon, France. ![]() |
![]() ![]() | MEJRI, N., CHERNAKOV, P., KULESHOVA, P., GHORBEL, E., & AOUADA, D. (15 July 2024). FACIAL REGION-BASED ENSEMBLING FOR UNSUPERVISED TEMPORAL DEEPFAKE LOCALIZATION [Paper presentation]. 2024 IEEE International Conference on Multimedia and Expo, Niagara Falls, Canada. ![]() |
![]() ![]() | SINGH, I. P., GHORBEL, E., OYEDOTUN, O., & AOUADA, D. (13 July 2024). Multi-label image classification using adaptive graph convolutional networks: From a single domain to multiple domains. Computer Vision and Image Understanding, 247, 104062. doi:10.1016/j.cviu.2024.104062 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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). ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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 |
![]() ![]() | 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). ![]() |
![]() ![]() | 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). ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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. ![]() |