Person Re-identification Based on Pose-guided Generative Adversarial Network-Reference-Cited by-同舟云学术

Person Re-identification Based on Pose-guided Generative Adversarial Network

Published:2020-05-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Turing Celebration Conference - China
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Author:

Han Guang¹,Yang Chao¹,Liu Jixin¹,Sun Ning¹,Li Xiaofei¹

Affiliation:

1. Nanjing University of Posts and Telecommunications, Nanjing, China

Publisher

ACM

Reference26 articles.

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2. Z. Zheng L. Zheng Y. Yang "Pedestrain alignment network for large-scale person re-identification " in TCSVT pp.1--1 2018. Z. Zheng L. Zheng Y. Yang "Pedestrain alignment network for large-scale person re-identification " in TCSVT pp.1--1 2018.

3. L. He J. Liang H. Li Z. Sun "Deep spatial feature reconstruction for partial person re-identification: alignment-free approach " in CVPR pp.7073--7082 2018. L. He J. Liang H. Li Z. Sun "Deep spatial feature reconstruction for partial person re-identification: alignment-free approach " in CVPR pp.7073--7082 2018.

4. W. Li X. Zhu S. Gong "Harmonious attention network for person reidentification " in CVPR pp.2285--2294 2018. W. Li X. Zhu S. Gong "Harmonious attention network for person reidentification " in CVPR pp.2285--2294 2018.

5. Y. Guo N. Cheung "Efficient and deep person re-identification using multi-level similarity " in CVPR pp.2335--2344 2018. Y. Guo N. Cheung "Efficient and deep person re-identification using multi-level similarity " in CVPR pp.2335--2344 2018.

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1. A Pedestrian Re-identification Method Based on Joint learning and Feature alignment Neural Network;Proceedings of the 2023 3rd International Conference on Bioinformatics and Intelligent Computing;2023-02-10

2. Object Quality Guided Feature Fusion for Person Re-identification;2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI);2021-11