3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation-Reference-Cited by-同舟云学术

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3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Zhang Yi¹,Ji Pengliang²,Wang Angtian¹,Mei Jieru¹,Kortylewski Adam³,Yuille Alan¹

Affiliation:

1. Johns Hopkins University

2. Beihang University

3. Max Planck Institute for Informatics

Funder

Office of the Director of National Intelligence

Intelligence Advanced Research Projects Activity

Arm

Office of Naval Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377722.pdf?arnumber=10377722

Cited by 7 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. Visibility-Aware Human Mesh Recovery via Balancing Dense Correspondence and Probability Model;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

3. Natural scenes reveal diverse representations of 2D and 3D body pose in the human brain;Proceedings of the National Academy of Sciences;2024-06-03

4. Kinematics-aware spatial-temporal feature transform for 3D human pose estimation;Pattern Recognition;2024-06

5. Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

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