Human pose estimation typically encompasses three categories: heatmap-, regression-, and
integral-based methods. While integral-based methods possess advantages such as end-to …

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 …

Abstract This paper presents Triangulation Residual loss (TR loss) for multiview 3D pose
estimation in a data-efficient manner. Existing 3D supervised models usually require large …

Occlusion is a common challenge in human pose estimation. Curiously, learning from
occluded keypoints hinders a model to detect visible keypoints. We speculate that the …

Pose estimation is remarkably successful under supervised learning, but obtaining
annotations, especially for new deployments, is costly and time-consuming. This work …

Most 2D human pose estimation frameworks estimate keypoint confidence in an ad-hoc
manner, using heuristics such as the maximum value of heatmaps. The confidence is part of …

Estimating human pose from images is the key to enabling machines to understand human
actions. Existing works on human pose estimation mainly focus on designing more resultful …

In medical image analysis, anatomical landmarks usually contain strong prior knowledge of
their structural information. In this paper, we propose to promote medical landmark …

Craniomaxillofacial (CMF) and nasal landmark detection are fundamental components in
computer-assisted surgery. Medical landmark detection method includes regression-based …

In recent years, human pose estimation has been widely studied as a branch task of
computer vision. Human pose estimation plays an important role in the development of …