Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction

Zhiquan He; Lujun Zhang; Hengyou Wang

doi:10.3389/fncom.2023.1232765

Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction

Front Comput Neurosci. 2023 Jun 13:17:1232765. doi: 10.3389/fncom.2023.1232765. eCollection 2023.

Authors

Zhiquan He^{1

2}, Lujun Zhang², Hengyou Wang³

Affiliations

¹ Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China.
² Guangdong Multimedia Information Service Engineering Technology Research Center, Shenzhen University, Shenzhen, China.
³ School of Science, Beijing University of Civil Engineering and Architecture, Beijing, China.

Abstract

[This corrects the article DOI: 10.3389/fncom.2023.1145209.].

Keywords: GCN-based; causally temporal; motion prediction; spatial attention; two-stage prediction method.

Publication types

Published Erratum

Grants and funding

This work was supported by the National Natural Science Foundation of China under grant 61971290 and the Shenzhen Stability Support General Project (Category A) 20200826104014001.