Zhiquan He
Lujun Zhang
Hengyou Wang3
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- 1Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China
- 2Guangdong Multimedia Information Service Engineering Technology Research Center, Shenzhen University, Shenzhen, China
- 3School of Science, Beijing University of Civil Engineering and Architecture, Beijing, China
A corrigendum on
An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction
by He, Z., Zhang, L., and Wang, H. (2023). Front. Comput. Neurosci. 17:1145209. doi: 10.3389/fncom.2023.1145209
In the published article, there was an error in the Funding statement. The Shenzhen City project support was omitted. The correct Funding statement appears below.
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.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: motion prediction, GCN-based, two-stage prediction method, spatial attention, causally temporal
Citation: He Z, Zhang L and Wang H (2023) Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction. Front. Comput. Neurosci. 17:1232765. doi: 10.3389/fncom.2023.1232765
Received: 01 June 2023; Accepted: 02 June 2023;
Published: 13 June 2023.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2023 He, Zhang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Zhiquan He, emhpcXVhbkBzenUuZWR1LmNu