Regression-based methods for 3D human pose estimation directly predict the 3D pose
parameters from a 2D image using deep networks. While achieving state-of-the-art …

Due to the mutual occlusion, severe scale variation, and complex spatial distribution, the
current multi-person mesh recovery methods cannot produce accurate absolute body poses …

We propose RoHM an approach for robust 3D human motion reconstruction from monocular
RGB (-D) videos in the presence of noise and occlusions. Most previous approaches either …

Vision-based ego-centric 3D human pose estimation (ego-HPE) is essential to support
critical applications of xR-technologies. However, severe self-occlusions and strong …

As an intermediate task in computer vision, multiple pedestrian tracking (MPT) aiming at
tracking the pedestrians from a given video, has attracted attention due to its potential …

This paper addresses the problem of three-dimensional (3D) human mesh estimation in
complex poses and occluded situations. Although many improvements have been made in …

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 …

A simple yet effective method for occlusion-robust 3D human mesh reconstruction from a
single image is presented in this paper. Although many recent studies have shown the …

Human pose, defined as the spatial relationships between body parts, carries instrumental
information supporting the understanding of motion and action of a person. A substantial …

Human silhouette extraction is a fundamental task in computer vision with applications in
various downstream tasks. However, occlusions pose a significant challenge, leading to …