Pose-guided action recognition in static images using lie-group-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Pose-guided action recognition in static images using lie-group

Published:2021-09-16 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Mi Siya,Zhang Yu^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-021-02760-1.pdf

Reference61 articles.

1. Maji S, Bourdev L, Malik J (2011) Action recognition from a distributed representation of pose and appearance. In: Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition, pp 3177–3184

2. Hoai M (2014) Regularized max pooling for image categorization. In: Proceedings of British Machine Vision Conference

3. Oquab M, Bottou L, Laptev I, Sivic J (2014) Learning and transferring mid-level image representations using convolutional neural networks. In: Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition, pp 1717–1724

4. Gupta S, Malik J (2015) Visual semantic role labeling. arXiv:1505.0447

5. Gkioxari G, Girshick R, Malik J (2015) Contextual action recognition with R*CNN. In: Proceedings of IEEE Int’l Conf. on Computer Vision, pp 1080–1088

Cited by 5 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. Multi Step Knowledge Distillation Framework For Action Recognition in Still Images;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21

2. Action Recognition in Still Images Based on Cross-Modality and Knowledge Distillation;2023 5th International Conference on Artificial Intelligence and Computer Applications (ICAICA);2023-11-28

3. Relation with Free Objects for Action Recognition;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-10-18

4. Still image action recognition based on interactions between joints and objects;Multimedia Tools and Applications;2023-01-10

5. Context Enhancement Methodology for Action Recognition in Still Images;Artificial Neural Networks and Machine Learning – ICANN 2023;2023

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