Estimating the pose of a human in 3D given an image or a video has recently received
significant attention from the scientific community. The main reasons for this trend are the …

Spatiotemporal human representation based on 3D visual perception data is a rapidly
growing research area. Representations can be broadly categorized into two groups …

Machine learning (ML) is now a fairly established technology, and user experience (UX)
designers appear regularly to integrate ML services in new apps, devices, and systems …

We propose UniPose, a unified framework for human pose estimation, based on our"
Waterfall" Atrous Spatial Pooling architecture, that achieves state-of-art-results on several …

The ability of computers to recognise hand gestures visually is essential for progress in
human–computer interaction. Gesture recognition has applications ranging from sign …

We propose novel neural temporal models for predicting and synthesizing human motion,
achieving state-of-the-art in modeling long-term motion trajectories while being competitive …

This second edition of a bestseller presents systematic and extensive coverage of the
primary areas of research and development within VE technology. It brings together a …

In this paper, we propose an approach for recognizing human actions based on motion
sequence information in RGB-D video using deep learning. A new representation that gives …

As robots have become more pervasive in our daily life, natural human-robot interaction
(HRI) has had a positive impact on the development of robotics. Thus, there has been …

The paradigm for robot usage has changed in the last few years, from a scenario in which
robots work isolated to a scenario where robots collaborate with human beings, exploiting …