Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …

Multimodal human–computer interaction (HCI) systems pledge a more human–human-like
interaction between machines and humans. Their prowess in emanating an unambiguous …

Automatic audio-visual expression recognition can play an important role in communication
services such as tele-health, VOIP calls and human-machine interaction. Accuracy of audio …

The exigency of emotion recognition is pushing the envelope for meticulous strategies of
discerning actual emotions through the use of superior multimodal techniques. This work …

Emotion recognition plays an important role in human-computer interaction (HCI) and has
been extensively studied for decades. Although tremendous improvements have been …

Time-continuous dimensional descriptions of emotions (eg, arousal, valence) allow
researchers to characterize short-time changes and to capture long-term trends in emotion …

In this paper we present a novel approach towards multi-modal emotion recognition on a
challenging dataset AFEW'16, composed of video clips labeled with the six basic emotions …

Abstract Visual Question Answering (VQA) is an increasingly popular research area in
machine learning. Most of the existing VQA tasks only focus on static images, and only a few …

Recently, a research area of machine learning that has grown in popularity is Video
Question Answering (VQA). A lot of models based on this concept are used for static images …

Multi-modal interaction is a type of Human-Computer Interaction (HCI), which involves a
combination of sensory and representation modalities. In human-to-human interactions, the …