Enjie Ghorbel
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| Fakultät oder Zentrum | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Department | CVI2 | ||||
| Postadresse |
Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-Kalergi L-1359 Luxembourg |
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| Büroadresse | E 208 | ||||
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| Telefon | (+352) 46 66 44 5731 | ||||
Enjie Ghorbel received her PhD diploma in Computer Science, from the University of Normandie, in 2017. Her research interests include computer vision and pattern recognition (more specifically human action recognition, statistical model shapes and medical imaging). Enjie joined the SIGCOM and will be advised by Dr. Djamila Aouada.
Her office is located in the JFK Building, E03-314.
Last updated on: Donnerstag, den 31. Mai 2018
2023
You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans.; ; ; ; ; ;
Scientific Conference (2023)
UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection; ;
in IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings (2023)
2022
MULTI LABEL IMAGE CLASSIFICATION USING ADAPTIVE GRAPH CONVOLUTIONAL NETWORKS (ML-AGCN); ; ;
in IEEE International Conference on Image Processing (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 (2022, February)
2021
LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network; ; ; ; ; ;
in Proceedings of Conference on Computer Vision and Pattern Recognition Workshops (2021, June)
SPACECRAFT RECOGNITION LEVERAGING KNOWLEDGE OF SPACE ENVIRONMENT: SIMULATOR, DATASET, COMPETITION DESIGN, AND ANALYSIS; ; ; ; ; ;
in 2021 IEEE International Conference on Image Processing (ICIP) (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 (2021)
Detection & Identification of On-Orbit Objects Using Machine Learning; ; ; ; ; ;
in European Conference on Space Debris (2021), 8(1),
2020
Home-based rehabilitation system for strokesurvivors: a clinical evaluation; ; ; ; ; ;
in Journal of medical systems (2020)
Fast Adaptive Reparametrization (FAR) with Application to Human Action Recognition; ; ;
in IEEE Signal Processing Letters (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 (2020)
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 (2019, May)
Home Self-Training: Visual Feedback for Assisting Physical Activity for Stroke Survivors; ; ; ; ; ; ; ;
in Computer Methods and Programs in Biomedicine (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 (2019, February)
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 (2019)
2018
Key-Skeleton Based Feedback Tool for Assisting Physical Activity; ; ; ;
in 2018 Zooming Innovation in Consumer Electronics International Conference (ZINC), 30-31 May 2018 (2018, May 31)
An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition; ; ; ;
in Computer Vision and Image Understanding (2018), 175
Kinematic Spline Curves: A temporal invariant descriptor for fast action recognition; ; ; ;
in Image and Vision Computing (2018), 77
Features and Classification Schemes for View-Invariant and Real-Time Human Action Recognition; ; ; ;
in IEEE Transactions on Cognitive and Developmental Systems (2018), 10(4), 894--902
2017
2016
A fast and accurate motion descriptor for human action recognition applications; ; ; ;
in 2016 23rd International Conference on Pattern Recognition (ICPR) (2016)
Vers une reconnaissance en ligne d'actions à partir de caméras RGB-D; ; ; ;
in Reconnaissance de Formes et Intelligence Artificielle (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) (2016)
2015
Evaluation of an anatomically augmented Statistical Shape Model of the scapula: Clinical validation and reliability of landmark selection. Submited to; ; ; ;
in Computer Methods in Biomechanics and Biomedical Engineering. Imaging and Visualization (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 (2015)
3D real-time human action recognition using a spline interpolation approach; ; ; ;
in 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA) (2015)
