PhD theses

• Thermographic analysis of a composite plate in virtual reality – Ilario Strazzeri
• Robust Speech-Aligned Facial Expression Retargeting under HMD Occlusion – Habiba Hesham M Abdelaziz
• An End-to-End Explainable AI Framework for Personalized Biomarker Discovery in Obstructive Sleep Apnea – Hengly EM
• 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
• Novel deep learning architectures with Explicit geometry encoding as an inductive bias – Ahmad HAMMOUDEH
• 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
• Deep Learning for the automatic analysis of blood platelets – Michael Selasi DZAMESI FIAGBENU
• Action and Anomaly Detection on Edge – Mohammed El Amine MOKHTARI
• Crowd Analysis and Augmentation – Ratha SIV

 

Previous PhD Theses

• Information extraction in human non-verbal expression for context understanding – Hugo BOHY
• Amusement Expression Processing for Human-Agent Interactions – Kevin EL HADDAD
• Communication in cooperative multi-agent systems – Bastien VANDERPLAETSE
• Real time Edge Deployable AI for Safety in Construction Sites and Public Environments – Mohamed BENKEDADRA
• Deep Learning applied to computer vision – Myriam DOH
• Sound Synthesis Parameters: Matching and Interpolation Using Generative Neural Nets – Gwendal LEVAILLANT
• Audio-visual Information Fusion ans Conditioning with Neural Nets for Event Recognition – Mathilde BROUSMICHE
• Visual Exploration of Web Pages: Undertanding its Dynamics for a Better Modeling – Alexandre MILISAVLJEVIC
• Unsupervised Depth Prediction of Dynamic Scenes with Deep Learning Models – a Multi-Task Approach – Ambroise MOREAU
• Grounding and Pragmatics for Human-Machine Interaction – Jean-Benoît DELBROUCK
• General Organology and Analysis of Musical Practices of the Hexaphonic Guitar – Loic Reboursière
• Human-Centered xAI: Towards Overcoming Interpretation Biases in Biomedical Signal Analysis – Luca LA FISCA
• Designing a Prototype of Interactive and Immersive Device for Museums – Marine LAGASSE
• Expert Gesture Analysis through Motion Capture Using Statistical Modeling and Machine Learning – Mickael TITS
• Compression of Deep Neural Networks Applied to Real-Tome Fake News Detection – Nathan HUBENS
• Controling the Emotional Expressiveness in Synthetic Speech – a Deep Learning Approach – Noé TITS
• Image and Video Recognition Using Deep Neural Nets for Multimedia Retrieval – Omar SEDDATI
• Visual Attention: Top-Down & Bottom-Up Information Relative Importance – Phutphalla KONG
• Skeleton-Based Human Action Recognition – Sohaib LARABA
• EEG and Eye-Tracking Use to Study Attention in Virtual Reality Games – Victor DELVIGNE

 

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