Human motion prediction is a challenging task in human-centric computer vision, involving
forecasting future poses based on historical sequences. Despite recent progress in …

Abstract 3D human motion prediction requires making sense of the complex spatio-temporal
dynamics which underpin human motion to make highly accurate predictions. Part of this …

Human movement is goal-directed and influenced by the spatial layout of the objects in the
scene. To plan future human motion, it is crucial to perceive the environment–imagine how …

Let us rethink the real-world scenarios that require human motion prediction techniques,
such as human-robot collaboration. Current works simplify the task of predicting human …

Understanding human motion from video is essential for a range of applications including
pose estimation mesh recovery and action recognition. While state-of-the-art methods …

Human trajectory prediction task aims to analyze human future movements given their past
status, which is a crucial step for many autonomous systems such as self-driving cars and …

Current motion forecasting approaches typically train a deep end-to-end model from the
source domain data, and then apply it directly to target subjects. Despite promising results …

In this paper, we propose a novel architecture for the task of 3D human motion modelling.
We argue that the problem can be interpreted as a generative modelling task: A network …

This paper tackles video prediction from a new dimension of predicting spacetime-varying
motions that are incessantly changing across both space and time. Prior methods mainly …

Abstract 3D human motion prediction, ie, forecasting future sequences from given historical
poses, is a fundamental task for action analysis, human-computer interaction, machine …