A wifi vision-based 3D human mesh reconstruction-Reference-Cited by-同舟云学术

A wifi vision-based 3D human mesh reconstruction

Published:2022-10-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
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Author:

Wang Yichao¹,Ren Yili¹,Chen Yingying²,Yang Jie¹

Affiliation:

1. Florida State University

2. Rutgers University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3495243.3558247

Reference7 articles.

1. Representation, analysis, and recognition of 3D humans: A survey;Berretti Stefano;ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM),2018

2. SMPL

3. Yili Ren , Zi Wang , Sheng Tan , Yingying Chen , and Jie Yang . 2022 . Winect: 3D Human Pose Tracking for Free-form Activity Using Commodity WiFi . ACM ACM International Joint Conference on Pervasive and Ubiquitous Computing (2022), 1--29. Yili Ren, Zi Wang, Sheng Tan, Yingying Chen, and Jie Yang. 2022. Winect: 3D Human Pose Tracking for Free-form Activity Using Commodity WiFi. ACM ACM International Joint Conference on Pervasive and Ubiquitous Computing (2022), 1--29.

4. GoPose

5. Sheng Tan , Yili Ren , Jie Yang , and Yingying Chen . 2022. Commodity WiFi Sensing in 10 Years: Status, Challenges, and Opportunities . IEEE Internet of Things Journal ( 2022 ). Sheng Tan, Yili Ren, Jie Yang, and Yingying Chen. 2022. Commodity WiFi Sensing in 10 Years: Status, Challenges, and Opportunities. IEEE Internet of Things Journal (2022).

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