Solar power has rapidly become an increasingly important energy source in many countries
over recent years; however, the intermittent nature of photovoltaic (PV) power generation …

Human motion prediction is a challenging task due to the stochasticity and aperiodicity of
future poses. Recently, graph convolutional network has been proven to be very effective to …

This paper presents a high-quality human motion prediction method that accurately predicts
future human poses given observed ones. Our method is based on the observation that a …

How can we animate 3D-characters from a movie script or move robots by simply telling
them what we would like them to do?" How unstructured and complex can we make a …

As an important and challenging task in computer vision, human motion prediction aims to
predict the future human motion sequence from a given historical sequence. Though the …

Human character animation is often critical in entertainment content production, including
video games, virtual reality or fiction films. To this end, deep neural networks drive most …

Human motion prediction is a classical problem in computer vision and computer graphics,
which has a wide range of practical applications. Previous effects achieve great empirical …

Abstract 3D human motion prediction, predicting future poses from a given sequence, is an
issue of great significance and challenge in computer vision and machine intelligence …

Human motion prediction is crucial for the human–robot inter-action and self-driving. We
human beings learn an action with two stages, ie, the approximation stage and the …

The dynamic information of the joints, such as the movement amplitude, is critical for
forecasting precise human joint trajectories. Existing methods adopt global modeling in …