Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …

Research on Extended Reality (XR) and Artificial Intelligence (AI) is booming, which has led
to an emerging body of literature in their intersection. However, the main topics in this …

Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …

We show, for the first time, that neural networks trained only on synthetic data achieve state-
of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from real …

The Metaverse depicts a parallel digitalized world where virtuality and reality are fused. It
has economic and social systems like those in the real world and provides intelligent …

Estimating 3D human motion from an egocentric video sequence plays a critical role in
human behavior understanding and has various applications in VR/AR. However, naively …

Human and environment sensing are two important topics in Computer Vision and Graphics.
Human motion is often captured by inertial sensors, while the environment is mostly …

We present a real-time approach for multi-person 3D motion capture at over 30 fps using a
single RGB camera. It operates successfully in generic scenes which may contain …

Egocentric 3D human pose estimation with a single head-mounted fisheye camera has
recently attracted attention due to its numerous applications in virtual and augmented reality …

Object understanding in egocentric visual data is arguably a fundamental research topic in
egocentric vision. However, existing object datasets are either non-egocentric or have …