Thèses de doctorat en cours Voir Projets en cours Voir Thèses de doctorat terminées Voir Projets terminés Voir Theses de doctorat en cours Expressive Interactive Agent – Thomas BALDASSARRE Cognitive Load-Informed Adaptation of XR Environments: Leveraging Visual Attention Modeling – Adrien KINART Easy individualized head related transfer function estimation model for user-tailored immersive experiences – Alexandre PHILIPPON Non-invasive multimodal cardiovascular health assessment – Antoine COLLET Animate and Evaluate Self-Avatar in Virtual Reality – Antoine MAIORCA Real-Time Users Tracking and Non-Verbal Language Analysis of Using Non-Invasive Methods – François ROCCA Real time Edge Deployable AI for Safety in Construction Sites and Public Environments – Mohamed BENKEDADRA Deep Learning applied to computer vision – Myriam DOH Novel deep learning architectures with Explicit geometry encoding as an inductive bias – Ahmad HAMMOUDEH Communication in cooperative multi-agent systems – Bastien VANDERPLAETSE Multimodal transformers applied in the medical field – Cyprien GILLE Deep learning and image analysis for characterising the growth dynamics of winter wheat varieties – Elias ENNADIFI AI applied to clinical biomechanics – Feten SKHIRI GABBOUJ Information extraction in human non-verbal expression for context understanding – Hugo BOHY Amusement Expression Processing for Human-Agent Interactions – Kevin EL HADDAD Deep Learning for the automatic analysis of blood platelets – Michael Selasi DZAMESI FIAGBENU Action and Anomaly Detection on Edge – Mohammed El Amine MOKHTARI Expressive interactive agent – Thomas BALDASSARRE Crowd Analysis and Augmentation – Ratha SIV « >
