Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …

Human pose estimation (HPE) has attracted a significant amount of attention from the
computer vision community in the past decades. Moreover, HPE has been applied to various …

Human pose is typically represented by a coordinate vector of body joints or their heatmap
embeddings. While easy for data processing, unrealistic pose estimates are admitted due to …

Abstract 3D human pose estimation has been researched for decades with promising fruits.
3D human pose lifting is one of the promising research directions toward the task where …

The analysis of human gait is an important tool in medicine and rehabilitation to evaluate the
effects and the progression of neurological diseases resulting in neuromotor disorders. In …

Recently, the vision transformer and its variants have played an increasingly important role
in both monocular and multi-view human pose estimation. Considering image patches as …

While the voxel-based methods have achieved promising results for multi-person 3D pose
estimation from multi-cameras, they suffer from heavy computation burdens, especially for …

Recent transformer-based approaches have demonstrated excellent performance in 3D
human pose estimation. However, they have a holistic view and by encoding global …

Despite various probabilistic methods for modeling the uncertainty and ambiguity in human
mesh recovery, their overall precision is limited because existing formulations for joint …

Estimating the 2D human poses in each view is typically the first step in calibrated multi-view
3D pose estimation. But the performance of 2D pose detectors suffers from challenging …