Revisiting -Reciprocal Distance Re-Ranking for Skeleton-Based Person Re-Identification-Reference-Cited by-同舟云学术

Revisiting -Reciprocal Distance Re-Ranking for Skeleton-Based Person Re-Identification

Published:2022 Issue: Volume:29 Page:2103-2107
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Rao Haocong¹^ORCID,Li Yuan²,Miao Chunyan¹^ORCID

Affiliation:

1. Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) and the School of Computer Science and Engineering, Nanyang Technological University, Singapore

2. Department of Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China

Funder

National Research Foundation Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/9686799/09913633.pdf?arnumber=9913633

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3. Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-identification;International Journal of Computer Vision;2023-08-29

4. Enhancing Person Re-identification Across Modalities with Local and Global Feature Correlation;2023 8th International Conference on Computational Intelligence and Applications (ICCIA);2023-06-23

5. TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06