AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Computational Visual Media Article
PDF (85.3 KB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Editorial | Open Access

Message from the Best Paper Award Committee

Ming C. Lin( ), Xin Tong, Wenping Wang
University of Maryland at College Park, USA
Microsoft Research Asia, China
Texas A&M University, USA
Show Author Information

References

[1]
Wenqiang Zhang, Jiemin Fang, Xinggang Wang, and Wenyu Liu. EfficientPose: Efficient human pose estimation with neural architecture search. Computational Visual Media Vol. 7, No. 3, 335-347, 2021.
Crossref Google Scholar
[2]
Renjie Chen, Craig Gotsman. Efficient fastest-path computations for road maps. Computational Visual Media Vol. 7, No. 2, 267-281, 2021.
Crossref Google Scholar
[3]
Qian Zheng, Weikai Wu, Hanting Pan, Niloy Mitra, Daniel Cohen-Or, and Hui Huang. Inferring object properties from human interaction and transferring them to new motions. Computational Visual Media Vol. 7, No. 3, 375-392, 2021.
Crossref Google Scholar
Computational Visual Media
Volume 8 Issue 3,
September 2022
Pages 329-329
DOI: 10.1007/s41095-022-0285-5
Cite this article:
Lin MC, Tong X, Wang W. Message from the Best Paper Award Committee. Computational Visual Media, 2022, 8(3): 329. https://doi.org/10.1007/s41095-022-0285-5

538

Views

22

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Altmetrics
Published: 20 April 2022
© The Author(s) 2022.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduc-tion in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Return