Open position in the team

Source: Marco Cagnazzo’s web site

PhD Defense: Shuo Zheng

Shuo Zheng’s PhD defense will take place at 5th February, 10 am, Amphi Opale at TélécomParisTech (46 rue Barrault, 75013 Paris).


Mr François-Xavier Coudoux, Université Polytechnique Hauts-de-France, Referee Mrs Aline Roumy, INRIA Rennes, Referee Mr Jean-Marie Gorce, INSA Lyon, Examiner Mr Marc Leny, Ektacom, Examiner Mrs Michèle Wigger, TélécomParitech, Examiner, Jury’s Chair […]

HCERES activity report

Team activity has been presented in the context of the LTCI lab evaluation by HCERES.

Research group on the applications of machine learning to compression

We started a new study group on the applications of machine learning to compression. Check it out there:

Machine learning compression | Research group on the applications of machine learning to compression

Simulation of conversational groups of virtual agents expressing interpersonal attitudes

The system presented in the following video is aimed at simulating conversational groups by virtual agents. Each agent is endowed with a computational model that allows it to modulate its nonverbal behaviors (orientation of the body, distance with other agents, gaze, facial expression and gestures) and to adapt its turn-taking strategies depending on the attitudes […]

A new acted emotional body behavior database

We collected a new corpus for the analysis and the synthesis of emotional body movements. The movements of 11 actors (6 female and 5 male) were captured while they expressed 8 emotional states (Joy, Anger, Panic Fear, Anxiety, Sadness, Shame, Pride and Neutral) described with 3 scenarios and performed through 7 different movements tasks. Each […]

Expressive rendering and animation

Facial expression is a rather complex system. It results from muscle contraction. Wrinkles often appear on the face and tend to occur as the results of some facial expressions. They are definitely part of the expression. FACS describes, for each AU, not only the changes due to muscle contraction but also wrinkle appearance. As facial […]

Modeling Multimodal Behaviors From Speech Prosody

To synthesize the head and eyebrow movements of virtual characters, we have developed a fully parameterized Hidden Markov Model (FPHMM), an extension of a Contextual HMM (CHMM). We have first learned a FPHMM that takes speech features as contextual variables and that produces motion features observation. During the training phase, motion and speech streams are […]

Demo of Nao with Expressive Gesture

Within the French project ANR GV-LeX, we have developed an expressive communicative gesture model for the humanoid robot Nao. The goal of this project aims at equipping a humanoid robot with a capacity of producing gestures while telling a story for children. To reach this objective, we have extended and developed our existing virtual agent […]

Demo E-SmilesCreator and GenAttitude

One of the key challenges in the development of social virtual actors is to give them the capability to display socio-emotional states through their non-verbal behavior. Based on studies in human and social sciences or on annotated corpora of human expressions, di fferent models to synthesize virtual agent’s non-verbal behavior have been developed. One of the […]