From Human Pose Similarity Metric to 3D Human Pose Estimator: Temporal Propagating LSTM Networks
Author:
Affiliation:
1. Electronics and Telecommunications Research Institute, Daejeon, South Korea
2. Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea
Funder
National Research Foundation of Korea
Ministry of Science and ICT, South Korea
Yonsei University Research Fund of 2021
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/ielx7/34/10008914/09749007.pdf?arnumber=9749007
Reference80 articles.
1. Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks
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4. DeepPose: Human Pose Estimation via Deep Neural Networks
5. Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment
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