Bilinear models provide an appealing framework for mixing and merging information in
Visual Question Answering (VQA) tasks. They help to learn high level associations between …

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 …

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 …

One of the significant task in pattern recognition and computer vision along with artificial
intelligence and machine learning is the Face Recognition. Most of the prevailing …

A problem that occurs in texture analysis and quantitative analysis of magnetic resonance
imaging (MRI), is that the extracted results are not comparable between consecutive or …

Lighting normalization is a crucial but underexplored restoration task with broad
applications. However, existing works often simplify this task within the context of shadow …

Face recognition technology has come a long way since its beginnings in the previous
century. Due to its countless application possibilities, it has attracted the interest of research …

In this paper, we employ several subspace representations (principal component analysis,
unsupervised discriminant projection, kernel class-dependence feature analysis, and kernel …

A part-based approach for spontaneous expression recognition using audio-visual feature
and deep convolution neural network (DCNN) is proposed. The ability of convolution neural …

To develop Human-centric Driver Assistance Systems (HDAS) for automatic understanding
and charactering of driver behaviors, an efficient feature extraction of driving postures based …