Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition-Reference-Cited by-同舟云学术

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Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition

Published:2020 Issue: Volume: Page:1-1
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Luvizon Diogo,Picard David,Tabia Hedi

Funder

Brazilian National Council for Scientific and Technological Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09007695.pdf?arnumber=9007695

Cited by 90 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. Deep learning for 3D human pose estimation and mesh recovery: A survey;Neurocomputing;2024-09

2. How to Improve Video Analytics with Action Recognition: A Survey;ACM Computing Surveys;2024-08-08

3. Multi-Person Pose Regression With Distribution-Aware Single-Stage Models;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-08

4. Learning Temporal–Spatial Contextual Adaptation for Three-Dimensional Human Pose Estimation;Sensors;2024-07-08

5. Simultaneous extraction of spatial and attributional building information across large-scale urban landscapes from high-resolution satellite imagery;Sustainable Cities and Society;2024-07

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