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Dr. Enjie Ghorbel

  • Department:    CVI²
  • Postal Address: CVI², Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-KalergiL-1359 Luxembourg


  • Email:                    enjie.ghorbel@uni.lu
  • Telephone:            –
  • LinkedIn:               Enjie Ghorbel
  • Google Scholar:   Enjie Ghorbel


Enjie Ghorbel received her engineering diploma from the National Engineering Schoul of Sousse (ENISo) in Applied Computer Science in 2014 and her PhD diploma in Computer Science, from the University of Normandie, in 2017. Her research interests include computer vision and pattern recognition. Enjie joined the CVI2 research group (previously the computer vision lab of SIGCOM) in 2018. She has contributed to the acquisition of several FNR projects (Bridges MEET-A, JUMP Pathfinder REST, IF OBSERVE, IF UNFAKE) and has participated in several projects such as EU H2020 STARR, FNR CORE 3D-ACT, FNR Bridges FakeDeTer, ESA SkyTrust and PSP Flagship SmartSchoul. She participated to the co-supervision of two PhD students and is currently co-supervising two doctoral students.

Research Interests

  • Computer Vision
  • Pattern Recognition
  • Medical Imaging



Singh, Inder Pal, Oyebade Oyedotun, Enjie Ghorbel, and Djamila Aouada. 2022. “IML-GCN: Improved Multi-Label Graph Convolutional Network for Efficient yet Precise Image Classification.” In AAAI-22 Workshop Program-Deep Learning on Graphs: Methods and Applications.


Garcia, Albert, Mohamed Adel Musallam, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Perez, and Djamila Aouada. 2021. “LSPNET: A 2D Localization-Oriented Spacecraft Pose Estimation Neural Network.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2048–56.

Musallam, Mohamed Adel, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Damian Perez, Michel Poucet, and Djamila Aouada. n.d. “Spacecraft Recognition Leveraging Knowledge of Space Environment: Simulator, Dataset, Competition Design and Analysis.” In 2021 IEEE International Conference on Image Processing Challenges (ICIPC), 11–15. IEEE.

Perez, Marcos, Mohamed Adel Mohamed Ali, Albert Garcia Sanchez, Enjie Ghorbel, Kassem Al Ismaeil, Paul Le Henaff, and Djamila Aouada. 2021. “Detection & Identification of on-Orbit Objects Using Machine Learning.” In European Conference on Space Debris. Vol. 8. 1.

Papadopoulos, Konstantinos, Enjie Ghorbel, Djamila Aouada, and Björn Ottersten. 2021. “Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition, International Conference on Pattern Recognition (ICPR) 2021.


Ghorbel, Enjie, Renato Baptista, Abdelrahman Shabayek, Djamila Aouada, Maialen Gorostiza Oramaeche, Janire Orcajo Lago, and Leire Ortiz Fernandez. 2020. “Home-Based Rehabilitation System for Stroke Survivors: A Clinical Evaluation.” Journal of Medical Systems 44 (12): 1–11.

Ghorbel, Enjie, Girum Demisse, Djamila Aouada, and Björn Ottersten. 2020. “Fast Adaptive Reparametrization (FAR) with Application to Human Action Recognition.” IEEE Signal Processing Letters 27: 580–84.

Papadopoulos, Konstantinos, Enjie Ghorbel, Oyebade Oyedotun, Djamila Aouada, and Björn Ottersten. 2020. “DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations Using a Single RGB Camera.” In 2020 15th Ieee International Conference on Automatic Face and Gesture Recognition (Fg 2020), 138–45. IEEE.


Baptista, Renato, Enjie Ghorbel, Florent Moissenet, Djamila Aouada, Alice Douchet, Mathilde André, Julien Pager, Stéphane Bouilland, and others. 2019. “Home Self-Training: Visual Feedback for Assisting Physical Activity for Stroke Survivors.” Computer Methods and Programs in Biomedicine 176: 111–20.

Baptista, Renato, Enjie Ghorbel, Konstantinos Papadopoulos, Girum G Demisse, Djamila Aouada, and Björn Ottersten. 2019. “View-Invariant Action Recognition from RGB Data via 3D Pose Estimation.” In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2542–6. IEEE.

Ghorbel, Enjie, Konstantinos Papadopoulos, Renato Baptista, Himadri Pathak, Girum Demisse, Djamila Aouada, and Djamila Ottersten. 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, Konstantinos, Girum Demisse, Enjie Ghorbel, Michel Antunes, Djamila Aouada, and Björn Ottersten. 2019. “Localized Trajectories for 2D and 3D Action Recognition.” Sensors 19 (16): 3503..

Papadopoulos, Konstantinos, Enjie Ghorbel, Renato Baptista, Djamila Aouada, and Björn Ottersten. 2019. “Two-Stage RGB-Based Action Detection Using Augmented 3D Poses.” In International Conference on Computer Analysis of Images and Patterns, 26–35. Springer, Cham.


Baptista, Renato, Enjie Ghorbel, Djamila Aouada, Björn Ottersten, and others. 2018. “Key-Skeleton Based Feedback Tool for Assisting Physical Activity.” In 2018 Zooming Innovation in Consumer Technologies Conference (ZINC), 175–76. IEEE.

Ghorbel, Enjie, Jacques Boonaert, Rémi Boutteau, Stéphane Lecoeuche, and Xavier Savatier. 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.

Ghorbel, Enjie, Rémi Boutteau, jacques Boonaert, Xavier Savatier, and Stéphane Leceouche. 2018. “Kinematic Spline Curves: A Temporal Invariant Descriptor for Fast Action Recognition.” Image and Vision Computing.

Talha, Sid Ahmed Walid, Mounir Hammouche, Enjie Ghorbel, Anthony Fleury, and Sebastien Ambellouis. 2018. “Features and Classification Schemes for View-Invariant and Real-Time Human Action Recognition.” IEEE Transactions on Cognitive and Developmental Systems.


Borotikar, Bhushan, Tinashe Mutsvangwa, Valérie Burdin, Enjie Ghorbel, Mathieu Lempereur, Sylvain Brochard, Eric Stindel, and Christian Roux. 2017. “Augmented Statistical Shape Modeling for Orthopedic Surgery and Rehabilitation.” In Medical Image Analysis and Informatics: Computer-Aided Diagnosis and Therapy, 369–425. CRC Press.

Ghorbel, Enjie. 2017. “Fast and Accurate Human Action Recognition Using Rgb-d Cameras.” PhD thesis.


Ghorbel, E, R Boutteau, J Boonaert, X Savatier, and S Lecoeuche. 2016. “Vers Une Reconnaissance En Ligne d’actions à Partir de Caméras Rgb-d.” In Reconnaissance de Formes et Intelligence Artificielle (RFIA).

Ghorbel, Enjie, Rémi Boutteau, Jacques Bonnaert, Xavier Savatier, and Stéphane Lecoeuche. 2016. “A Fast and Accurate Motion Descriptor for Human Action Recognition Applications.” In International Conference on Pattern Recognition (ICPR), 919–24. 10.1109/ICPR.2016.7899753. IEEE Conference Publications.

Hammouche, Mounir, Enjie Ghorbel, Anthony Fleury, and Sébastien Ambellouis. 2016. “Toward a Real Time View-Invariant 3D Action Recognition.” In International Conference on Computer Vision Theory and Applications (VISAPP).


Borotikar, Bhushan, Enjie Ghorbel, Mathieu Lempereur, Tinashe Mutsvangwa, and Valerie Burdin. 2015. “Evaluation of an Anatomically Augmented Statistical Shape Model of the Scapula: Clinical Validation and Reliability of Landmark Selection.”

Borotikar, Bhushan, Enjie Ghorbel, Tinashe Mutsvangwa, Mathieu Lempereur, and Valérie Burdin. 2015. “Validation d’un Nouveau Modèle Statistique de Scapula Augmenté de Marqueurs Anatomiques.” TAIMA 2015: Traitement et Analyse de L’Information: Méthodes et Applications.

Ghorbel, Enjie, Rémi Boutteau, Jacques Boonaert, Xavier Savatier, and Stéphane Lecoeuche. 2015. “3D Real-Time Human Action Recognition Using a Spline Interpolation Approach.” In International Conference on Image Processing Theory, Tools and Applications (IPTA), 61–66. IEEE.