Madjid Maidi

Head of the « Artificial Intelligence » Master Program and Associate Professor in Computer Science
ESME

Overview of research area

My research interests include building intelligent systems for content understanding through image invariant and learned features. The overall aim is to developing classification and recognition approaches for semantic interpretation in computer vision and computer graphics areas.

Short biography

Madjid Maidi is an associate professor in computer science at ESME Sudria. He obtained an MSc and PhD in Computer Vision from Versailles University and Evry University, respectively. Prior to ESME, he was a postdoctoral researcher at Evry University and worked at Telecom SudParis as a research engineer.

Publications

• S.-E. Laidoudi, M. Maidi, and S. Otmane, Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach, 27th European Conference on Artificial Intelligence (ECAI’2024), Santiago de Compostela, Spain, October 2024.
• S.-E. Laidoudi, M. Maidi, and S. Otmane, A CNN-based model for low-textured object detection and tracking, 2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, October 2023.
• S.-E. Laidoudi, M. Maidi, and S. Otmane, Real-Time Detection of Low-Textured Objects based on Deep Learning, IEEE 25th International Workshop on Multimedia Signal Processing (IEEE MMSP 2023), Poitiers, France, September 2023.
• M. Maidi, S. Otmane, Y. Lehiani, and M. Preda, Object Detection enhanced by Hybrid Overlay for Augmented Reality, International Journal of Semantic Computing, Issue 17, Number 3, pp. 1-13, World Scientific Publishing, 2023.
• M. Maidi and S. Otmane, Multimodal 2D/3D Registration for Open Augmented Reality Applications, 24th IEEE International Symposium on Multimedia (ISM’2022), pp. 84-85, Naples, Italy, December 2022.
• M. Maidi, Y. Lehiani, and M. Preda, Open Augmented Reality System For Mobile Markerless Tracking, IEEE International Conference on Image Processing (ICIP’2020), pp. 2591-2595, Abu Dhabi, United Arab Emirates, October 2020.
• M. Maidi, H Marouane, S Rebai, and S. Herry, Collecting, Classifying and Visualising Big Data for Biodiversity and Mobility, Book : Eco-Design of Buildings and Infrastructure, pp. 420-448, CRC Press, 2020.
• M. Maidi, H. Marouane, S. Jribi, and S. Herry, Collecte, classification et visualisation de données massives pour la biodiversité et la mobilité, Éco-conception des ensembles bâtis et des infrastructures, Vol. 2, pp. 465-486, Presses des Mines, 2019.
• Y. Lehiani, M. Maidi, M. Preda, and F. Ghorbel, Image Invariant Description based on Local Fourier-Mellin Transform, IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA’2017), pp. 159-163, Kuching, Malaysia, September 2017.
• M. Maidi, F. Ababsa, M. Mallem, and M. Preda, Hybrid Tracking System for Robust Fiducials Registration in Augmented Reality, Signal, Image and Video Processing International Journal, Vol. 9, N°4, pp. 831-849, Springer, 2015.
• Y. Lehiani, M. Maidi, M. Preda, and F. Ghorbel, Object Identification and Tracking for Steady Registration in Mobile Augmented Reality, IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA’2015), pp. 54-59, Kuala Lumpur, Malaysia, October 2015.
• Y. Lehiani, M. Maidi, M. Preda, and A. Gabrielli, Object Recognition in Extended Image Databases using a Mobile Client-Server Architecture, IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA’2015), pp. 197-202, Kuala Lumpur, Malaysia, October 2015.
• M. Maidi, M. Preda, and Y. Lehiani, Markerless Identification and Tracking for Scalable Image Database, IEEE International Conference on Image Processing (ICIP’2014), pp. 403-407, Paris, France, October 2014.
• M. Maidi, M. Preda, Y. Lehiani, and T. Lavric, Vision-based tracking in large image database for real-time mobile augmented reality, IEEE International Workshop on Multimedia Signal Processing (MMSP’2014), pp. 1-6, Jakarta, Indonesia, September 2014.
• M. Maidi, M. Mallem, L. Benchikh, and S. Otmane, An Evaluation of Camera Pose Methods for an Augmented Reality System: Application to Teaching Industrial Robots, Transactions on Computational Science XVII, Vol. 7420, Part 1, Chapter 1, pp. 3-30, Springer, 2013.
• M. Maidi, M. Preda, M-N. Dailey, and S. Kongsilp, Natural Feature Tracking on a Mobile Handheld Tablet, IEEE International Conference on Signal and Image Processing Applications (ICSIPA’2013), pp. 246-251, Melaka, Malaysia, October 2013.
• M. Maidi and M. Preda , Interactive Media Control using Natural Interaction-based Kinect, The 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2013), pp. 1812-1815, Vancouver, British Columbia, Canada, May 2013.
• M. Haydar, D. Roussel, M. Maidi, S. Otmane, and M. Mallem, Virtual and Augmented Reality for Cultural Computing and Heritage: a case study of Virtual Exploration of Underwater Archaeological Sites, Special Issue of Virtual Reality “Virtual Reality and Culture Technology”, Vol. 15, N°4, pp. 311-327, Springer, 2011.
• M. Maidi, V. Scurtu, and M. Preda, Characters Identification in TV series, IEEE International Symposium on Multimedia (ISM’2011), pp. 143-148, Dana Point, USA, December 2011.
• M. Maidi, M. Preda, and V-H. Le, Markerless Tracking for Mobile Augmented Reality, IEEE International Conference on Signal and Image Processing Applications (ICSIPA’2011), pp. 301-306, Kuala Lumpur, Malaysia, November 2011.
• M. Maidi, J-Y. Didier, F. Ababsa, and M. Mallem , A Performance Study for Camera Pose Estimation using Visual Marker based Tracking, Machine Vision and Applications, IAPR International Journal, Vol. 21, N°3, pp. 365-376, Springer, 2010.
• M. Maidi, F. Ababsa, and M. Mallem, Handling Occlusions for Robust Augmented Reality Systems, Eurasip Journal on Image and Video Processing, Vol. 2010, pp. 1-12, 2010.
• M. Maidi, F. Ababsa, and M. Mallem, Vision-Inertial Tracking System for Robust Fiducials Registration in Augmented Reality, IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing (CIMSVP’2009), pp. 83-90, Nashville, USA, April 2009.
• M. Haydar, M. Maidi, D. Roussel, and M. Mallem, A New Navigation Method for 3D Virtual Environment Exploration, The 2nd Mediterranean Conference on Intelligent Systems and Automation (CISA’2009), pp. 190-195, Zarzis, Tunisia, March 2009.
• F. Ababsa, M. Maidi, J-Y. Didier, and M. Mallem, Vision-Based Tracking for Mobile Augmented Reality, Multimedia Services in Intelligent Environments, pp. 297-326, Springer, 2008.
• F. Alcala, A. Alcocer, F. Alves, K. Bale, J. Bateman, A. Caiti, M. Casenove, J.-C. Chambelland, G. Chapman, O. Curé, P. Drap, A. Durand, K. Edmundson, L. Gambella, P. Gambogi, F. Gauch, K. Hanke, M. Haydar, J. Hue, R. Jeansoulin, S. Jeffrey, L. Long, V. Loureiro, M. Maidi, O. Papini, G. Pachoud, A. Pascoal, J. Richards, D. Roussel, D. Scaradozzi, L. Sebastiao, E. Seguin, J. Seinturier, M. Serayet, E. Würbel, and S.M. Zanoli, VENUS (Virtual ExploratioN of Underwater Sites), Two years of interdisciplinary, The 14th Virtual Systems and MultiMedia Conference (VSMM’2008), pp. 250-258, Limassol, Cyprus, October 2008.
• M. Haydar, M. Maidi, D. Roussel, M. Mallem, P. Drap, K. Bale, and P. Chapman, Virtual Exploration of Underwater Archaeological Sites : Visualization and Interaction in Mixed Reality Environments, The 9th Eurographics VAST International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST’2008), pp. 141-148, Braga, Portugal, December 2008.
• M. Maidi, F. Ababsa, and M. Mallem, Robust Fiducials Tracking in Augmented Reality, The 13th International Conference on Systems, Signals and Image Processing (IWSSIP’2006), pp. 423-426, Budapest, Hungaria, September 2006.
• M. Maidi, F. Ababsa, and M. Mallem, Robust Augmented Reality Tracking based Visual Pose Estimation, International Conference on Informatics in Control, Automation and Robotics (ICINCO’2006), pp. 346-351, Setúbal, Portugal, August 2006.
• M. Maidi, F. Ababsa, and M. Mallem, Active Contours Motion based on Optical Flow for Tracking in Augmented Reality, International Conference on Virtual Reality (VRIC’2006), pp. 215-222, Laval, France, April 2006.
• M. Maidi, F.Ababsa, and M. Mallem, Vision-Inertial System Calibration for Tracking in Augmented Reality, International Conference on Informatics in Control, Automation and Robotics (ICINCO’2005), pp. 156-162, Barcelona, Spain, September 2005.

PhD in Computer Vision

• 2007

  PhD in Computer Vision

  Université d’Evry Val d’Essonne, Evry Val d’Essonne, France
• 2003

  MSc in Virtual Reality and Intelligent Systems

  Université Versailles Saint-Quentin, Versailles, France

Head of the Artificial Intelligence Master Program and Associate Professor in Computer Science

• Since 2021

  Head of the Artificial Intelligence Master Program

  ESME, Ivry-sur-Seine, France
• Since 2014

  Associate Professor in Computer Science

  ESME, Ivry-sur-Seine, France
• 2010-2014

  Research Engineer in Computer Vision and Mixed Reality

  Télécom SudParis, Evry, France
• 2008-2010

  Postdoctoral researcher in Mixed Reality

  Evry University
• 2005-2007

  Assistant professor in Computer Science

  Evry University