Stage M2 ou équivalent The full subject, including references and figures, can be found at https://partage.imt.fr/index.php/s/MCwCbpRewPQCwsk Context The remote sensing field aims at exploiting satellite or aerial images for earth observation. This, in turns, has an increasingly important social impact, as the applications fo these methods include tackling key challenges…
Stage M2/PFE/Ingénieur Contact: Prof. Rafik ZAYANI – rafik.zayani@univ-rennes.fr
Stage M2/PFE/ingénieur Description: This internship will be conducted at IETR – Rennes University, in collaboration with IEMN – Lille University. The goal is to evaluate and enhance the performance of cell-free massive MIMO (CF-mMIMO) systems using advanced signal processing and data-driven techniques. Specifically, the intern leverage signal processing schemes for…
Stage M2/Ingénieur (+thèse) The full subject, including images and references, can be found at https://partage.imt.fr/index.php/s/4kZRXNwMfaZrscn Context The remote sensing field aims at exploiting satellite or aerial images for earth observation. This, in turns, has an increasingly important social impact, as the applications of these methods include tackling key challenges such…
Stage master Research team: RAP, Robotic department — LAAS-CNRS, Toulouse, FranceAdvisors: Maxime Escourrou (maxime.escourrou@laas.fr), Ariane Herbulot (ariane.herbulot@laas.fr)Duration: 4 — 6 monthsSchooling level: MasterStarting date: Flexible around March 2025 Keywords: Perception, Computer Vision, Data fusion, Robustness The aim of this internship is to evaluate the results of several object tracking methods…
Stage M2/Ingénieur Pansharpening is a fundamental and crucial task in remote sensing which generates a high-resolution hyperspectral image by fusing a low-resolution hyperspectral image and a high-resolution panchromatic (or multispectral) image. A range of methods formulate pansharpening as an inverse problem from which iterative algorithms are derived. Those methods depend…
Stage M2/Ingénieur L’équipe SAFE du laboratoire GREYC situé à Caen propose un stage de recherche d’une durée de 6 mois sur la génération de deepfake vidéos, sujet d’actualité notamment depuis l’utilisation des techniques d’apprentissage profond (deeplearning) et de GAN inversés. Les étudiants intéressés peuvent envoyer leur candidature à : Christophe…
Stage M2 Scientific Fields: Computer Vision, Industry of the Future Keywords: Foundation Models, 6D pose estimation, Digital Twin, Synthetic and Hybrid Dataset, Manufacturing environments Supervision Name Position, Title @ Nicolas Ragot Associate professor nragot@cesi.fr Vincent Havard Associate professor, HDR vhavard@cesi.fr Works Details of the tasks This M2 internship is part…
Postdoctoral position The aim of this postdoctoral research project is to develop deep learning models that integrate causal and correlation relationships, focusing on enhancing the explainability of AI systems. This research project could also be expanded to explore the application of diffusion-based generative models within the context of explainable AI….
CESI LINEACT recrute un.e ingénieur.e de recherche pour un contrat de 18 mois avec des compétences en apprentissage machine, vision par ordinateur et traitement d’images. Descriptif des missions Ce recrutement de type CDD 18 mois, s’inscrit dans le cadre du Challenge CoHoMa III proposé par le Battle Lab Terre et…
