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 …

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 …

The phenomenon of Human Pose Estimation (HPE) is a problem that has been explored
over the years, particularly in computer vision. But what exactly is it? To answer this, the …

Analyzing and understanding hand information from multimedia materials like images or
videos is important for many real world applications and remains to be very active in …

This paper investigates the task of 2D whole-body human pose estimation, which aims to
localize dense landmarks on the entire human body including body, feet, face, and hands …

Reconstructing 3D hand meshes from monocular RGB images has attracted increasing
amount of attention due to its enormous potential applications in the field of AR/VR. Most …

Monocular estimation of 3d human pose has attracted increased attention with the
availability of large ground-truth motion capture datasets. However, the diversity of training …

Abstract Hand Gesture Recognition (HGR) is a challenging computer vision task. Recently,
by taking advantages of deep learning-based models, HGR methods have achieved …

Advances in self-supervised learning, especially in contrastive learning, have drawn
attention to investigating these techniques in providing effective visual representations from …

Hand pose estimation is a fundamental task in many human–robot interaction-related
applications. However, previous approaches suffer from unsatisfying hand landmark …