Fast Human Pose Estimation in Compressed Videos

Author:

Liu Huan1ORCID,Liu Wentao2,Chi Zhixiang2ORCID,Wang Yang3ORCID,Yu Yuanhao2,Chen Jun1ORCID,Tang Jin2

Affiliation:

1. Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

2. Noah’s Ark Laboratory, Huawei Technologies Canada, Markham, ON, Canada

3. Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Cited by 12 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. Yoga Pose Classification Using CNN with PReLU Activation;2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI);2024-06-21

2. Boundary-Guided Lightweight Semantic Segmentation With Multi-Scale Semantic Context;IEEE Transactions on Multimedia;2024

3. RPM: RF-Based Pose Machines;IEEE Transactions on Multimedia;2024

4. TVM: A Tile-based Video Management Framework;Proceedings of the VLDB Endowment;2023-12

5. 基于深度学习序列方法的多人姿态估计用来检测人体与关键点位置;Journal of Shanghai Jiaotong University (Science);2023-10-28

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