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Multi-Modal Recurrent Attention Networks for Facial Expression Recognition

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Modelling Human Perception of Facial Expressions by Discrete Choice Models

Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Javier Cruz Mota, Thomas Robin

Facial expression recognition is a hard and ambiguous problem in computer vision. It is hard due to the wide variety of faces and the wide variety of ways of representing the same expression. And it is ambiguous because, even though common approaches treat ...

2007

Modelling Human Perception of Facial Expressions by Discrete Choice Models

Michel Bierlaire, Matteo Sorci, Javier Cruz Mota, Thomas Robin

2007

Modelling human perception of static expressions by discrete choice models

Jean-Philippe Thiran, Matteo Sorci, Barbara Cerretani

When people interact to communicate, a very important role is played by the face. In fact, thanks to it we can get information about our interlocutors: who they are, what they feel, what their intentions are, etc. Studies demonstrated that facial expressio ...

2007

Relevant Component Analysis for static facial expression classification

Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini

This paper addresses the issue of automatic classification of the six universal emotional categories (joy, surprise, fear, anger, disgust, sadness) in the case of static images. Appearance parameters are extracted by an active appearance model(AAM) represe ...

2005

Multiview Face Detection

Sébastien Marcel, Yann Rodriguez, Tiffany Sauquet

In this document, we address the problem of multiview face detection. This work extends the frontal face detection system developed at the IDIAP Research Institute to multiview face detection. The main state-of-the art techniques are reviewed and a novel a ...

IDIAP2005

Automatic Facial Expression Analysis: A Survey

Over the last decade, automatic facial expression analysis has become an active research area that finds potential applications in areas such as more engaging human-computer interfaces, talking heads, image retrieval and human emotion analysis. Facial expr ...

2003

Robust Face Analysis using Convolutional Neural Networks

Automatic face analysis has to cope with pose and lighting variations. Especially pose variations are difficult to tackle and many face analysis methods require the use of sophisticated normalization procedures. We propose a data-driven face analysis appro ...

2002

Robust Face Analysis using Convolutional Neural Networks

IDIAP2001

Recognition of Asymmetric Facial Action Unit Activities and Intensities

Most automatic facial expression analysis systems try to analyze emotion categories. However, psychologists argue that there is no straight forward way to classify emotions from facial expressions. Instead, they propose FACS (Facial Action Coding System), ...

2000

Recognition of Asymmetric Facial Action Unit Activities and Intensities

IDIAP1999