MD

Matthieu Dabrowski

Post-doctoral researcher at IMT Nord Europe on human pose prediction from feet pressure values obtained through connected insoles. This work implied the realization of a dataset containing ground truths on human poses and feet pressure values.
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Documents
Affiliations actuelles
  • Université de Lille
  • Centre for Digital Systems (CERI SN - IMT Nord Europe)
Identifiants chercheurs
Contact

Présentation

My name is Matthieu Dabrowski, I am a french post-doctoral researcher in AI and Computer Vision.

I am mainly interested in projects related to Health or Environmental issues.

I have developed an expertise in Physics-Informed Neural Networks.

During my thesis this concept was applied to atmospheric physics.

I am currently working on biomechanics-informed models for human pose prediction from feet pressure data.

I am currently open for work and looking for a postdoctoral researcher position, starting from May 15th.

Domaines de recherche

Intelligence artificielle [cs.AI] Vision par ordinateur et reconnaissance de formes [cs.CV] Apprentissage [cs.LG] Réseau de neurones [cs.NE]

Compétences

Physics-Informed Neural Networks Pose Predicton English : C1

Publications

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Publications

HUMAPS-4D : A Multimodal Dataset for HUman Motion Analysis with Physiological and Semantic informations

Matthieu Dabrowski , Ouala Benjemaa , Benjamin Allaert

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026, Jun 2026, Denver (Colorado), United States

Communication dans un congrès hal-05531226v1

Semi-supervised GAN with sparse ground truth as Boundary Conditions

Matthieu Dabrowski , José Mennesson , Jérôme Riedi , Chaabane Chabane Djeraba

IEEE International Joint Conference on Neural Networks 2023, Jun 2023, Queensland, Australia

Communication dans un congrès hal-04132474v1