Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach-Reference-Cited by-同舟云学术

Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach

Published:2023-12-06 Issue: Volume:34 Page:1-8
ISSN:
Container-title:ACM Multimedia Asia 2023
language:
Short-container-title:

Author:

Yu Dongyang¹^ORCID,Xie Yunshi²^ORCID,An Wangpeng³^ORCID,Li Zhang⁴^ORCID,Yao Yufeng⁴^ORCID

Affiliation:

1. Beijing JAYA Technology Co., Ltd., CN

2. UIUC, US

3. Tiktok Inc., US

4. Beijing Forestry University, CN

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3595916.3626382

Reference56 articles.

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2. Gedas Bertasius , Christoph Feichtenhofer , Du Tran , Jianbo Shi , and Lorenzo Torresani . 2019. Learning Temporal Pose Estimation from Sparsely-Labeled Videos. neural information processing systems ( 2019 ). Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, and Lorenzo Torresani. 2019. Learning Temporal Pose Estimation from Sparsely-Labeled Videos. neural information processing systems (2019).

3. Z. Cao T. Simon S. Wei and Y. Sheikh. 2016. Realtime multi-person 2d pose estimation using part affinity fields. arXiv preprint arXiv:1611.08050 (2016). Z. Cao T. Simon S. Wei and Y. Sheikh. 2016. Realtime multi-person 2d pose estimation using part affinity fields. arXiv preprint arXiv:1611.08050 (2016).

4. Zhe Cao Tomas Simon Shih-En Wei and Yaser Sheikh. 2022. Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. Zhe Cao Tomas Simon Shih-En Wei and Yaser Sheikh. 2022. Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields.

5. End-to-End Object Detection with Transformers

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