In this paper we present the techniques used for the University of Montréal's team
submissions to the 2013 Emotion Recognition in the Wild Challenge. The challenge is to …

The task of the Emotion Recognition in the Wild (EmotiW) Challenge is to assign one of
seven emotions to short video clips extracted from Hollywood style movies. The videos …

This paper addresses the question of emotion classification. The task consists in predicting
emotion labels (taken among a set of possible labels) best describing the emotions …

Emotion recognition (ER) based on natural facial images/videos has been studied for some
years and considered a comparatively hot topic in the field of affective computing. However …

In this paper we describe a solution to our entry for the emotion recognition challenge
EmotiW 2017. We propose an ensemble of several models, which capture spatial and audio …

Deep learning based approaches to facial analysis and video analysis have recently
demonstrated high performance on a variety of key tasks such as face recognition, emotion …

In this paper, we present our latest progress in Emotion Recognition techniques, which
combines acoustic features and facial features in both non-temporal and temporal mode …

This paper presents the techniques employed in our team's submissions to the 2015
Emotion Recognition in the Wild contest, for the sub-challenge of Static Facial Expression …

In this paper, we present a video-based emotion recognition system submitted to the EmotiW
2016 Challenge. The core module of this system is a hybrid network that combines recurrent …

State-of-the-art approaches for the previous emotion recognition in the wild challenges are
usually built on prevailing Convolutional Neural Networks (CNNs). Although there is clear …