In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

This article provides a detailed review of recent advances in audio-visual speech
recognition (AVSR) methods that have been developed over the last decade (2013–2023) …

Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …

Abstract Multi-Task Learning (MTL) is a framework, where multiple related tasks are learned
jointly and benefit from a shared representation space, or parameter transfer. To provide …

Most research on facial expression recognition (FER) is conducted in highly controlled
environments, but its performance is often unacceptable when applied to real-world …

In this paper, we consider the problem of the high computational complexity of video-based
facial expression recognition. A novel sequential procedure is proposed with an adaptive …

Abstract A Compound Expression Recognition (CER) as a subfield of affective computing is
a novel task in intelligent human-computer interaction and multimodal user interfaces. We …

Recently, facial expression recognition (FER) methods have achieved significant progress.
However, FER is still challenged by factors such as uneven illumination and low-quality …

This paper presents the results of the SUN team for the Compound Expressions Recognition
Challenge of the 6th ABAW Competition. We propose a novel audio-visual method for …

Human facial emotion detection is one of the challenging tasks in computer vision. Owing to
high inter-class variance, it is hard for machine learning models to predict facial emotions …