Deep neural networks are currently one of the most successful models in image processing and computer vision [1-4, 10-13]. Their principle consists in learning convolutional filters, together with attention [14,15] and fully connected layers, that maximize classification and generation performances. Large generative models (LGMs) [5] are a particular category of…
Socio-economic and scientific context An intracranial aneurysm (IA) is a deformation of the cerebral artery wall, leading to a fragile arterial zone that may rupture. Aneurysmal rupture most often causes a subarachnoid hemorrhage (SAH), which has a poor prognosis. It is estimated that one-third of patients with this condition will…
Position: Data Scientist InternLocation: Company: Declic Startup About Declic:Declic is an innovative social network focused on organizing and promoting real-world events, connecting people and small businesses across the MENA region. We are building the next generation of community-driven engagement through technology, creativity, and data science. Mission:We are looking for a…
Un sujet de thèse est ouvert dans le cadre du projet ANR PERSAPLAN « Arthroplastie Personnalisée de l’Epaule Inversée : intégration des caractéristiques fonctionnelles et biomécaniques du patient dans le Planning chirurgical » (ANR-24-CE45-7139-01). Contexte: Le projet de thèse Perceus a pour objectif d’améliorer les résultats post-opératoires de l’arthroplastie d’épaule…
Socio-economic and scientific context Low Grade Gliomas (LGG, WHO grade II) are infiltrative brain tumours that usually occur in young patients (mean age of 38 years). Due to their slow growth and brain plasticity, most patients provide normal or nearly normal clinical examination for several years. Surgery is considered to…
General information Description Context Landmark detection, description and matching is the cornerstone of autonomous visual localization systems deployed in unknown environments. While most widely-adopted and accurate solutions exploit low-level landmarks such as points or lines, dealing with large-scale and/or visually ambiguous environments remains highly challenging due to the inherent multiplicity,…
Advanced Driving Assistance Systems (ADAS) necessitate a preciseknowledge of the environment of the vehicle in order to extractthe necessary information to their operations. This knowledge can be acquired throughsensors such as cameras, RADARs, LIDARs, etc. This project focuses on the case of an array of cameras surrounding the vehicle,detecting obstacles,…
L’objectif de ce projet est d’inventer de nouvelles méthodes multirésolution pour l’apprentissage profond, avec différentes applications en traitement du signal audionumérique.
