Emmanuel Dellandréa

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Textured 3D face models capture precise facial surfaces along with the associated textures, making it possible for an accurate description of facial activities. In this paper, we present a unified probabilistic framework based on a novel Bayesian Belief Network (BBN) for 3D facial expression and Action Unit (AU) recognition. The proposed BBN performs(More)
We investigate the role that geometric, tex-tual and visual features play in the task of predicting a preposition that links two visual entities depicted in an image. The task is an important part of the subsequent process of generating image descriptions. We explore the prediction of prepositions for a pair of entities, both in the case when the labels of(More)
We describe the LIRIS human activities dataset, the dataset used for the ICPR 2012 human activities recognition and localization competition. In contrast to previous competitions and existing datasets, the tasks focus on complex human behavior involving several people in the video at the same time, on actions involving several interacting people and on(More)
Three-dimensional face landmarking aims at automatically localizing facial landmarks and has a wide range of applications (e.g., face recognition, face tracking, and facial expression analysis). Existing methods assume neutral facial expressions and unoccluded faces. In this paper, we propose a general learning-based framework for reliable landmark(More)
—To contribute to the need for emotional databases and affective tagging, the LIRIS-ACCEDE is proposed in this paper. LIRIS-ACCEDE is an Annotated Creative Commons Emotional DatabasE composed of 9800 video clips extracted from 160 movies shared under Creative Commons licenses. It allows to make this database publicly available 1 without copyright issues.(More)
The ImageCLEF 2015 Scalable Image Annotation, Localiza-tion and Sentence Generation task was the fourth edition of a challenge aimed at developing more scalable image annotation systems. In particular this year the focus of the three subtasks available to participants had the goal to develop techniques to allow computers to reliably describe images,(More)