In this paper, we present Motion-X, a large-scale 3D expressive whole-body motion dataset.
Existing motion datasets predominantly contain body-only poses, lacking facial expressions …

Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion
capture with numerous applications. Despite encouraging progress, current state-of-the-art …

We present a physics-based humanoid controller that achieves high-fidelity motion imitation
and fault-tolerant behavior in the presence of noisy input (eg pose estimates from video or …

While 3D body reconstruction methods have made remarkable progress recently, it remains
difficult to acquire the sufficiently accurate and numerous 3D supervisions required for …

The recently emerging text-to-motion advances have spired numerous attempts for
convenient and interactive human motion generation. Yet existing methods are largely …

Optimising outcomes after shoulder interventions requires objective shoulder range of
motion (ROM) assessments. This narrative review examines video-based pose technologies …

This paper introduces a novel human pose estimation approach using sparse inertial
sensors addressing the shortcomings of previous methods reliant on synthetic data. It …

Estimating global human motion from moving cameras is challenging due to the
entanglement of human and camera motions. To mitigate the ambiguity, existing methods …

The filming of sporting events projects and flattens the movement of athletes in the world
onto a 2D broadcast image. The pixel locations of joints in these images can be detected …

We present SimXR a method for controlling a simulated avatar from information (headset
pose and cameras) obtained from AR/VR headsets. Due to the challenging viewpoint of …