Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification-Reference-Cited by-同舟云学术

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Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification

Published:2019-06 Issue:6 Volume:28 Page:2976-2990
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Ye Mang^ORCID,Li Jiawei^ORCID,Ma Andy J.,Zheng Liang^ORCID,Yuen Pong C.^ORCID

Funder

RGC/HKBU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8672525/08611378.pdf?arnumber=8611378

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2. Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-09-06

3. Deep video-based person re-identification (Deep Vid-ReID): comprehensive survey;EURASIP Journal on Advances in Signal Processing;2024-05-15

4. ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-05-13

5. Unsupervised Pedestrian Re-Identification Method Based on Deep Learning and Pseudo-Label Optimization;2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT);2024-04-26

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