A2Net: Affiliation Alignment Networks for Whole-Body Pose Estimation With Vision--Language Models
- DOI
- 10.1109/tnnls.2026.3656293
- Published
- 2026-08
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3656293,
title = {A2Net: Affiliation Alignment Networks for Whole-Body Pose Estimation With Vision--Language Models},
author = {Ling Lin and Yaoxing Wang and Congcong Zhu and Jingrun Chen},
year = {2026},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2026.3656293},
url = {https://doi.org/10.1109/tnnls.2026.3656293}
}RIS
TY - JOUR TI - A2Net: Affiliation Alignment Networks for Whole-Body Pose Estimation With Vision--Language Models AU - Ling Lin AU - Yaoxing Wang AU - Congcong Zhu AU - Jingrun Chen PY - 2026 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2026.3656293 UR - https://doi.org/10.1109/tnnls.2026.3656293 ER -
APA
Lin, L., Wang, Y., Zhu, C., & Chen, J. (2026). A2Net: Affiliation Alignment Networks for Whole-Body Pose Estimation With Vision--Language Models. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2026.3656293
Source records
- crossref · retrieved 2026-09-26T11:00:05.625Z