1. CV chercheurs / SLAMA Rim

SLAMA Rim

Researcher-lecturer

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rsalmiatcesi.fr

+33 6 62 34 68 77

32 Avenue de Verdun
69540 Irigny

Research interest

  • Computer vision
  • Machine learning and Deep Learning
  • Human-Machine Interaction 
  • Gesture and motion recognition
  • Facial recognition 
  • Riemannian variety

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

Education

PhD in Computer Science

University of Lille Nord-de-France

«Geometric approaches for 3D human motion analysis: Application to action recognition and indexing», Doctoral School of Engineering Sciences

2014

Research Master Degree in Imaging

National School of Computer Sciences (ENSI)

2011

Engineering degree

National School of Computer Science (ENSI)

2010

Current research programs

  • Online human action recognition for collaboration and/or robot control
  • Hand gesture recognition applied in the field of AR/VR

 

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

  • 3 articles in international journals
  • 3 papers in international conferences
  • 2 papers in a national conference
  • 1 thesis
  • 1 master's thesis
  • 1 thesis for a final year project
  • 2 articles submitted for review 

 

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).