Convolutional Sequence to Sequence Model for Human Dynamics

Published: Jun 1, 2018
Abstract
Human motion modeling is a classic problem in computer vision and graphics. Challenges in modeling human motion include high dimensional prediction as well as extremely complicated dynamics.We present a novel approach to human motion modeling based on convolutional neural networks (CNN). The hierarchical structure of CNN makes it capable of capturing both spatial and temporal correlations effectively. In our proposed approach, a convolutional...
Paper Details
Title
Convolutional Sequence to Sequence Model for Human Dynamics
Published Date
Jun 1, 2018
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