Research team
Engineering and Numerical Tools
Educational activities
- Disciplines : Algorithms, programming (C , C++, Python, Web), computer vision, machine learning, deep learning, databases
- Level : Preparatory cycle, 1st and 2nd year engineers, masters
Background
- PhD in Computer Science
University of Lille Nord-de-France, 2014
«Geometric approaches for 3D human motion analysis: Application to action recognition and indexing», Doctoral School of Engineering Sciences - Research Master Degree in Imaging
National School of Computer Sciences (ENSI), 2011 - Engineering degree
National School of Computer Science (ENSI), 2010
Research interest
- Computer vision
- Machine learning and Deep Learning
- Human-Machine Interaction
- Gesture and motion recognition
- Facial recognition
- Riemannian variety
Current research programs
- Online human action recognition for collaboration and/or robot control
- Hand gesture recognition applied in the field of AR/VR
- Applications in Industrial and medical domains
Scientific animation and laboratory life
Member of the organizing committee :
- 1 international conference (TAIMA 2020)
- 1 national conference (CORESA 2012)
- 1 day of research, innovation and creation of master
- 1 project closing conference (webianire format)
Reviewer :
- 3 international journals (IEEE TIP, IET CV, PR, NCAA)
- 4 international conferences (TAIMA2020, DICTA2019, ICPR 2016, EUSIPCO2015)
Publications
- 8 journal papers published
- 2 journal papers submitted
- 3 journal papers in preparation
- 16 conference papers with peer review
- 4 presentations at national conferences
- 1 doctoral thesis
- 1 master’s thesis
- 1 final project report
Selected publications
- Kammoun, R. Slama, H. Tabia, T. OUNI, M. Abid “Generative Adversarial Networks for face generation: A survey”, ACM Survets 2021 (soumis).
- MS. Akremi, R. Slama, Hedi Tabia “SPD Siamese Neural Network for skeleton-based hand gestureRecognition”, ICONIP 2021 (soumis)
- R. Slama, H. Wannous and M. Daoudi, “Accurate 3D action recognition using learning on the Grassmann manifold”, Pattern recognition (PR) 48(2), p556-567 (2015).
- R. Slama, H. Wannous and M. Daoudi, “3D Human Motion Analysis Framework for Shape Similarity and Retrieval”, Image and Vision Computing Journal (IVC) 32(2), p131-154 (2014).
- H. Drira, B. BenAmor, A. Srivastava, M. Daoudi and R. Slama, “3D Face Recognition under Expressions, Occlusions, and Pose Variations”, IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 35(9), p2270-2283 (2013).
- R. Slama, H. Wannous and M. Daoudi, “Grassmannian Representation of Motion Depth for 3D Human Gesture and Action Recognition”, International Conference on Pattern Recognition (ICPR), p3499-3504 (2014).
- R. Slama, H. Wannous and M. Daoudi, “3D Human Video Retrieval: from Pose to Motion Matching”, Eurographics Workshop on 3D Object Retrieval (3DOR), p33-40 (2013).
- R. Slama, H. Wannous and M. Daoudi, “Extremal human curves: A new human body shape and pose descriptor”, IEEE Automatic Face and Gesture Recognition (FG), p1-6 (2013).