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 …

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 …

Noninvasive behavioral tracking of animals is crucial for many scientific investigations.
Recent transfer learning approaches for behavioral tracking have considerably advanced …

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 …

Estimating 3D hand poses from a single RGB image is challenging because depth
ambiguity leads the problem ill-posed. Training hand pose estimators with 3D hand mesh …

Hand pose estimation is more challenging than body pose estimation due to severe
articulation, self-occlusion and high dexterity of the hand. Current approaches often rely on a …

Estimating 3D hand pose directly from RGB images is challenging but has gained steady
progress recently by training deep models with annotated 3D poses. However annotating …

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 …