Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Deep learning has emerged as a powerful machine learning technique to employ in
multimodal sentiment analysis tasks. In the recent years, many deep learning models and …

Multimodal emotion recognition (MER) refers to the identification and understanding of
human emotional states by combining different signals, including—but not limited to—text …

As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

Image Processing, Analysis and Machine Vision represent an exciting part of modern
cognitive and computer science. Following an explosion of inter est during the Seventies …

Images containing faces are essential to intelligent vision-based human-computer
interaction, and research efforts in face processing include face recognition, face tracking …

We set ourselves the task of recognizing persons from single images by reference to a
gallery, which also contained only one image per person. Our problem was to address …

This paper presents a method for face recognition across variations in pose, ranging from
frontal to profile views, and across a wide range of illuminations, including cast shadows and …

People are excellent at identifying faces familiar to them, even from very low quality images,
but are bad at recognizing, or even matching, unfamiliar faces. In this review we shall …

Detecting driver drowsiness is a huge crucial problem in the sector of accident-avoidance
technologies, so the development of an innovative intelligent system came into the picture …