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 …

Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …

Great progress has been made in estimating 3D human pose and shape from images and
video by training neural networks to directly regress the parameters of parametric human …

Statistical 3D shape models of the head, hands, and full body are widely used in computer
vision and graphics. Despite their wide use, we show that existing models of the head and …

Videos from edited media like movies are a useful, yet under-explored source of information,
with rich variety of appearance and interactions between humans depicted over a large …

3D human pose and shape estimation from a single RGB image is an appealing yet
challenging task. Due to the graph-like nature of human parametric models, a growing …

We live in a 3D world where people interact with each other in the environment. Learning 3D
posed humans therefore requires us to perceive and interpret these interactions. This paper …

Aspects of the present disclosure involve a system and a method for performing operations
comprising: receiving a plurality of bone scale coefficients each corresponding to respective …

This paper provides an overview of the current state-of-the-art in the field of 3D human body
model estimation, reconstruction, and generation in computer vision. The paper focuses on …

In this paper, we provide a method for robust estimation of pedestrian pose that is especially
useful for autonomous vehicles traveling toward pedestrians far away. Pedestrians in the far …