TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer-Reference-Cited by-同舟云学术

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TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

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:

Dou Zhiyang¹,Wu Qingxuan²,Lin Cheng³,Cao Zeyu⁴,Wu Qiangqiang⁵,Wan Weilin¹,Komura Taku¹,Wang Wenping⁶

Affiliation:

1. The University of Hong Kong

2. University of Oxford

3. Tencent Games

4. University of Cambridge

5. City University of Hong Kong

6. Texas A&M University

Funder

Innovation and Technology Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378213.pdf?arnumber=10378213

Cited by 9 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. Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization;Computer Graphics Forum;2024-07-31

3. 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

4. What influences the close contact between health care workers and patients? An observational study in a hospital dental outpatient department;American Journal of Infection Control;2024-07

5. Analysis of SARS-CoV-2 transmission in a university classroom based on real human close contact behaviors;Science of The Total Environment;2024-03

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