Hand gestures are a form of nonverbal communication that can be used in several fields
such as communication between deaf-mute people, robot control, human–computer …

Recently human–robot collaboration (HRC) has emerged as a promising paradigm for mass
personalization in manufacturing owing to the potential to fully exploit the strength of human …

Most of the previous image-based 3D human pose and mesh estimation methods estimate
parameters of the human mesh model from an input image. However, directly regressing the …

We present PyMAF-X, a regression-based approach to recovering a parametric full-body
model from a single image. This task is very challenging since minor parametric deviation …

Most of the recent deep learning-based 3D human pose and mesh estimation methods
regress the pose and shape parameters of human mesh models, such as SMPL and MANO …

Most existing monocular 3D pose estimation approaches only focus on a single body part,
neglecting the fact that the essential nuance of human motion is conveyed through a concert …

We introduce DexYCB, a new dataset for capturing hand grasping of objects. We first
compare DexYCB with a related one through cross-dataset evaluation. We then present a …

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 …

Despite great progress in 3D pose estimation from single-view images or videos, it remains
a challenging task due to the substantial depth ambiguity and severe self-occlusions …

Graph convolutional network (GCN) has achieved great success in single hand
reconstruction task, while interacting two-hand reconstruction by GCN remains unexplored …