Abstract Three-dimensional (3D) human pose estimation involves estimating the articulated
3D joint locations of a human body from an image or video. Due to its widespread …

Background The study of human movement within sports biomechanics and rehabilitation
settings has made considerable progress over recent decades. However, developing a …

Inferring human-scene contact (HSC) is the first step toward understanding how humans
interact with their surroundings. While detecting 2D human-object interaction (HOI) and …

Due to the lack of camera parameter information for in-the-wild images, existing 3D human
pose and shape (HPS) estimation methods make several simplifying assumptions: weak …

We present the first real-time method to capture the full global 3D skeletal pose of a human
in a stable, temporally consistent manner using a single RGB camera. Our method combines …

We propose a method for multi-person detection and 2-D pose estimation that achieves
state-of-art results on the challenging COCO keypoints task. It is a simple, yet powerful, top …

This paper addresses the challenge of 3D human pose estimation from a single color image.
Despite the general success of the end-to-end learning paradigm, top performing …

We present an approach for 3D global human mesh recovery from monocular videos
recorded with dynamic cameras. Our approach is robust to severe and long-term occlusions …

Training accurate 3D human pose estimators requires large amount of 3D ground-truth data
which is costly to collect. Various weakly or self supervised pose estimation methods have …

This paper considers the task of articulated human pose estimation of multiple people in real
world images. We propose an approach that jointly solves the tasks of detection and pose …