Offre en lien avec l’Action/le Réseau : – — –/Doctorants

Laboratoire/Entreprise : IRISA/ATERMES
Durée : 3 ans
Contact : minh-tan.pham@irisa.fr
Date limite de publication : 2024-04-01

Contexte :
For more information: http://www-obelix.irisa.fr/files/2023/11/PHD_Object-Detection-from-Few-Multispectral-Examples_2024.pdf

Sujet :
The project aims at providing deep learning-based methods to detect objects in outdoor environments using multispectral data in a low supervision context, e.g., learning from few examples to detect scarcely-observed objects. The data consist of RGB and IR (Infra-red) images which are frames from calibrated and aligned multispectral videos.

Profil du candidat :
– MSc or Engineering degree with excellent academic track and proven research experience in the following fields: computer science, applied maths, signal processing and computer vision;

Formation et compétences requises :
– Experience with machine learning, in particular deep learning;
– Skills and proved experience in programming (Python is mandatory and knowledge about frameworks such as Pytorch is a real plus);
– Excellent communication skills (spoken/written English) is required ;
– Ambition to publish at the best level in the computer vision community (CVPR, ICCV, TPAMI, …) during the thesis.

Adresse d’emploi :
The PhD candidate will be in IRISA Vannes (80%) and in the Atermes company (20%). To be discussed.

Document attaché : 202311211332_PHD_Object Detection from Few Multispectral Examples_2024.pdf