Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
(2019)
Journal Article
Wang, H., Ho, E. S., Shum, H. P., & Zhu, Z. (2019). Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling. IEEE Transactions on Visualization and Computer Graphics, https://doi.org/10.1109/tvcg.2019.2936810
Data-driven modeling of human motions is ubiquitous in computer graphics and vision applications. Such problems can be approached by deep learning on a large amount data. However, existing methods can be sub-optimal for two reasons. First, skeletal i... Read More about Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling.