Motion Adaptive Pose Estimation from Compressed Videos
Author:
Affiliation:
1. New York University,Tandon School of Engineering,Brooklyn,NY,USA
2. Singapore University of Technology and Design,Information Systems Technology and Design Pillar,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711315.pdf?arnumber=9711315
Reference49 articles.
1. Attention is all you need;vaswani,2017
2. DeepPose: Human Pose Estimation via Deep Neural Networks
3. Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos
4. DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
5. Convolutional lstm network: A machine learning approach for precipitation nowcasting;shi,2015
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