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Artificial Intelligence for Multimodal Affective Computing Team (AIMAC)
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Keywords
Binaural synthesis
Commandabilité
Data augmentation
Audiovisual
Facial animation
Type 1 diabetes
Modèle spécifique à la personne
Beamforming
Bond graph
Facial expressions
Convolutional Neural Network
Adaptive Regression Forest
Binaural Technology
Data Generation
Multimodal
Analyse des expressions faciales
Database
Audio spatiale
Clone de visage
Active Appearance Model
Commutation cells
Iris tracking
Patches fusion
Dataset
Champs aléatoires
Micro-expression
Cardiac modeling
Continuous model
3D sound
Controllability
Camera relocalization
Ear
Closed-loop Control
Cardiac resynchronization therapy
Active appearance models
Synthèse binaurale
Hybrid method
3D Morphable Face Model
Machine learning
HMI
Closed-loop control
Multi-kernel learning
Depth patches
Deep Learning
Capture de performance
Commande et optimisation des systèmes linéaires
Patches detection
Gaze detection
Animation faciale
Glycemia
Control Model
Camera Relocalization
Close Loop Control
Action Unit
5D AAM
Animation Editing
Bio-procédés et science du vivant
Biomedical model simulation
Analyse formelle
Binaural
AAM
Age Progression
Genetic Algorithm
Structured mesh
Boucle fermée
3D Hand Skeleton
Individualisation
Animation Faciale
Cognitive Radio
Identification
Augmentation des données
Data Synthesis
Contexte multimodal
Active appearance model
Commande par mode glissant
Active Appearance Models
Facial clone
Commun operators
Modélisation
Apprentissage Profond
Survey
Blendshapes
HRTF
1023919/mva20177986815
Caméra RGB-D
Coordonnées de Scène
Activity recognition
Artificial Pancreas
Apprentissage automatique
HRTF Head Related Transfer Function
Bond-graph
Data Genesis
Closed-loop glucose control
Control
Diabetes
Cognitive radio
Apprentissage multi-noyaux
Closed Loop Control
Face Alignment
Biomedical systems modeling