Existing methods of multi-person video 3D human Pose and Shape Estimation (PSE)
typically adopt a two-stage strategy, which first detects human instances in each frame and …

Video-based 3D human pose estimation is an important yet challenging task for many
human-involved pattern recognition systems. Existing deep learning-based 3D human pose …

Modern multi-layer perceptron (MLP) models have shown competitive results in learning
visual representations without self-attention. However, existing MLP models are not good at …

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 …

Human pose analysis has garnered significant attention within both the research community
and practical applications, owing to its expanding array of uses, including gaming, video …

Three-dimensional human pose estimation plays an important role in the field of computer
vision, such as in healthcare, sports, activity recognition, motion capture, and augmented …

Musculoskeletal conditions affect millions of people globally; however, conventional
treatments pose challenges concerning price, accessibility, and convenience. Many …

Transformer-based methods have emerged as the golden standard in 2D-3D human pose
estimation from video sequences, largely thanks to their powerful spatial–temporal feature …

Abstract 3D Human Pose Estimation (3D-HPE) is a highly active and evolving research area
in computer vision with numerous applications such as extended reality, action recognition …

Event camera is an emerging bio-inspired vision sensors that report per-pixel brightness
changes asynchronously. It holds noticeable advantage of high dynamic range, high speed …