Parkinson's disease (PD) is a progressive neurological disorder primarily affecting motor
function resulting in tremor at rest, rigidity, bradykinesia, and postural instability. The …

Semantic keypoints provide concise abstractions for a variety of visual understanding tasks.
Existing methods define semantic keypoints separately for each category with a fixed …

Abstract 3D pose estimation has recently gained substantial interests in computer vision
domain. Existing 3D pose estimation methods have a strong reliance on large size well …

In this paper, a novel approach for action detection from RGB sequences is proposed. This
concept takes advantage of the recent development of CNNs to estimate 3D human poses …

Lower body tracking and user experience analysis are ongoing challenges in immersive
technologies and biomechanics research, respectively. Particularly, in immersive …

Superquadrics are one of the ideal shape representations for adapting various kinds of
primitive shapes with a single equation. This paper revisits the task of representing a 3D …

We present an adversarial deep domain adaptation (ADA) approach for training deep neural
networks that estimate 3D pose and shape of a human from a single image. Existing …

We propose a simple but effective motion capture system comprising a fixed smartphone
used as a camera and a smartwatch wore by a target person for absolute scale human pose …