TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking-Reference-Cited by-同舟云学术

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TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking

Published:2021-06 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Reddy N Dinesh,Guigues Laurent,Pishchulin Leonid,Eledath Jayan,Narasimhan Srinivasa G.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9577055/9577056/09578261.pdf?arnumber=9578261

Cited by 58 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. Skeleton Cluster Tracking for robust multi-view multi-person 3D human pose estimation;Computer Vision and Image Understanding;2024-09

3. Cross-modality person re-identification based on intermediate modal generation;Optics and Lasers in Engineering;2024-06

4. Uncalibrated Multi-view 3D Human Pose Estimation with Geometry Driven Attention;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

5. 3D Human Pose Estimation Using Pressure Images on a Smart Chair;Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition;2024-04-26

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