Multi-Dimensional Feature Interaction Enabling Density-Driven Contrastive Learning for Skeleton-Based Action Recognition
- DOI
- 10.1109/tip.2026.3732756
- Published
- 2026
- Container
- IEEE Transactions on Image Processing
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tip.2026.3732756,
title = {Multi-Dimensional Feature Interaction Enabling Density-Driven Contrastive Learning for Skeleton-Based Action Recognition},
author = {Hongjun Li and Panpan Kang and Liping Teng and Mingzi Chen},
year = {2026},
journal = {IEEE Transactions on Image Processing},
doi = {10.1109/tip.2026.3732756},
url = {https://doi.org/10.1109/tip.2026.3732756}
}RIS
TY - JOUR TI - Multi-Dimensional Feature Interaction Enabling Density-Driven Contrastive Learning for Skeleton-Based Action Recognition AU - Hongjun Li AU - Panpan Kang AU - Liping Teng AU - Mingzi Chen PY - 2026 JO - IEEE Transactions on Image Processing DO - 10.1109/tip.2026.3732756 UR - https://doi.org/10.1109/tip.2026.3732756 ER -
APA
Li, H., Kang, P., Teng, L., & Chen, M. (2026). Multi-Dimensional Feature Interaction Enabling Density-Driven Contrastive Learning for Skeleton-Based Action Recognition. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2026.3732756
Source records
- crossref · retrieved 2026-09-25T15:42:51.255Z