Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …

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) …

Abstract 3D human pose estimation based on visual information aims to predict 3D poses of
humans in images or videos. The aim of human action recognition is to classify what kind of …

The objective of this article is to develop a methodology for selecting the appropriate number
of clusters to group and identify human postures using neural networks with unsupervised …

Abstract Pose Invariant Face Recognition (PIFR) has significantly advanced with Generative
Adversarial Networks (GANs), which rotate face images acquired at any angle to a frontal …

In multi-person 2D pose estimation, the bottom-up methods simultaneously predict poses for
all persons, and unlike the top-down methods, do not rely on human detection. However, the …

In computer vision, human pose estimation details the posture of the person's body structure
that can be Kinematic, Planer, and Volumetric in an image or video. However, pose …

The high signal-to-noise ratio is one of the main challenges of multi-person pose estimation
(MPE) and receives little attention. In this work, we find that MPE suffers from two types of …

Estimating human poses from videos is critical in human–computer interaction. Joints
cooperate rather than move independently during human movement. There are both spatial …

Estimating construction workers' poses is critically important for recognizing unsafe
behaviors, conducting ergonomic analyses, and assessing productivity. Recently, utilizing …