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Profil

GHORBEL Enjie

ORCID
0000-0002-6878-0141
Main Referenced Co-authors
AOUADA, Djamila  (24)
OTTERSTEN, Björn  (8)
BAPTISTA, Renato  (6)
PAPADOPOULOS, Konstantinos  (6)
Boutteau, Rémi (5)
Main Referenced Keywords
Computer Vision (4); action recognition (2); augmentation (2); Deep Learning (2); Graph Convolutional Networks (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM (4)
ULHPC - University of Luxembourg: High Performance Computing (3)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > CVI² - Computer Vision Imaging & Machine Intelligence (2)
SnT - Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg (2)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other (1)
Main Referenced Disciplines
Computer science (34)

Publications (total 34)

The most downloaded
642 downloads
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 https://hdl.handle.net/10993/39532

The most cited

30 citations (Scopus®)

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 https://hdl.handle.net/10993/47169

MEJRI, N., Laura Lopez-Fuentes, Kankana Roy, CHERNAKOV, P., GHORBEL, E., & AOUADA, D. (05 December 2024). Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods. Expert Systems with Applications, 256. doi:10.1016/j.eswa.2024.124922
Peer Reviewed verified by ORBi

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.
Peer reviewed

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.
Peer reviewed

MEJRI, N., CHERNAKOV, P., KULESHOVA, P., GHORBEL, E., & AOUADA, D. (16 July 2024). Facial Region-based Ensembling for Unsupervised Temporal Deepfake Localization [Paper presentation]. 2024 IEEE International Conference on Multimedia and Expo, Niagara Falls, Canada. doi:10.1109/ICME57554.2024.10688329
Peer reviewed

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
Peer Reviewed verified by ORBi

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

ASTRID, M., GHORBEL, E., & AOUADA, D. (2024). Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies [Paper presentation]. British Machine Vision Conference, Glasgow, United Kingdom.
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., 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

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

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

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

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., 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., 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

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

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

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