Video frame interpolation via residual blocks and feature pyramid networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Video frame interpolation via residual blocks and feature pyramid networks

Published:2022-11-23 Issue:4 Volume:17 Page:1060-1070
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Yang Xiaohui¹²^ORCID,Zhang Haoran¹,Qu Zhe³,Feng Zhiquan¹,Tian Jinglan¹

Affiliation:

1. Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan China

2. State Key Laboratory of High‐end Server and Storage Technology Inspur Group Company Limited Jinan China

3. School of Software Shandong University Jinan China

Funder

Natural Science Foundation of Shandong Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12695

Reference37 articles.

1. MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

2. Wu C.Y. Singhal N. Krahenbuhl P.:Video compression through image interpolation. In:Proceedings of European Conference on Computer Vision.Munich Germany pp.416–431(2018)

3. Zhang H. Zhao Y. Wang R.:A flexible recurrent residual pyramid network for video frame interpolation. In:Proceedings of European Conference on Computer Vision.Glasgow UK pp.474–491(2020)

4. Bao W. Lai W.S. Ma C. et al.:Depth‐aware video frame interpolation. In:Proceedings of IEEE/CVF Confernce on Computer Vision Pattern Recognition.Long Beach USA pp.3703–3712(2019)

5. Lee H. Kim T. Chung T.Y. et al.:Adacof: Adaptive collaboration of flows for video frame interpolation. In:Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition.Seattle USA pp.5316–5325(2020)

Cited by 1 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. Motion-Aware Video Frame Interpolation;Neural Networks;2024-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3