Whilst deep learning techniques have achieved excellent emotion predicti...
While depression has been studied via multimodal non-verbal behavioural ...
Whilst a majority of affective computing research focuses on inferring
e...
While emotion and mood interchangeably used, they differ in terms of
dur...
We explore the efficacy of multimodal behavioral cues for explainable
pr...
Although the terms mood and emotion are closely related and often used
i...
We present ACAD, an affective computational
advertising framework expres...
While Parkinson's disease (PD) is typically characterized by motor disor...
While personality traits have been extensively modeled as behavioral
con...
Deep neural networks are vulnerable to adversarial attacks, which can fo...
With the progress in automatic human behavior understanding, analysing t...
This paper details the sixth Emotion Recognition in the Wild (EmotiW)
ch...
Millions of images on the web enable us to explore images from social ev...
In this study, the influence of objects is investigated in the scenario ...
In this paper, we study the problem of learning a model for human pose
e...