Leveraging Text-to-Image Diffusion Models for Unsupervised Visual Object Tracking
- DOI
- 10.1109/tpami.2026.3697145
- Published
- 2026-10
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3697145,
title = {Leveraging Text-to-Image Diffusion Models for Unsupervised Visual Object Tracking},
author = {Zhengbo Zhang and Zhigang Tu and Junsong Yuan and De Wen Soh and Bo Du},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3697145},
url = {https://doi.org/10.1109/tpami.2026.3697145}
}RIS
TY - JOUR TI - Leveraging Text-to-Image Diffusion Models for Unsupervised Visual Object Tracking AU - Zhengbo Zhang AU - Zhigang Tu AU - Junsong Yuan AU - De Wen Soh AU - Bo Du PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3697145 UR - https://doi.org/10.1109/tpami.2026.3697145 ER -
APA
Zhang, Z., Tu, Z., Yuan, J., Soh, D. W., & Du, B. (2026). Leveraging Text-to-Image Diffusion Models for Unsupervised Visual Object Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3697145
Source records
- crossref · retrieved 2026-11-10T08:47:39.241Z