Exploring and Exploiting High-Order Spatial-Temporal Dynamics for Long-Term Frame Prediction-Reference-Cited by-同舟云学术

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Exploring and Exploiting High-Order Spatial-Temporal Dynamics for Long-Term Frame Prediction

Published:2023 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Dai Kuai¹^ORCID,Li Xutao¹^ORCID,Ye Yunming¹^ORCID,Wang Yaowei²^ORCID,Feng Shanshan¹^ORCID,Xian Di³

Affiliation:

1. Department of Computer Science, Harbin Institute of Technology, Shenzhen, China

2. Xingke 1st Street 2, Peng Cheng Laboratory, Nanshan District, Shenzhen, China

3. National Satellite Meteorological Center, China Meteorological Administration, Beijing, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

FengYun Application Pioneering Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/10194942.pdf?arnumber=10194942

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatial-temporal characteristics analysis of solar irradiance forecast errors in Europe and North America;Energy;2024-06

2. Spherical Neural Operator Network for Global Weather Prediction;IEEE Transactions on Circuits and Systems for Video Technology;2023

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