Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation.
Yongqi Li|Hongru Cai|Wenjie Wang|Leigang Qu|Yinwei Wei|Wenjie Li|Liqiang Nie|Tat-Seng Chua
| Anthology ID: | DBLP:conf/sigir/0001C0QW0NC25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 813-822 |
| URL: | https://doi.org/10.1145/3726302.3730077 |
| DOI: | https://doi.org/10.1145/3726302.3730077 |
| DBLP: | conf/sigir/0001C0QW0NC25 |
| BibTeX: |
@inproceedings{li-2025-revolutionizing,
author = {Yongqi Li and
Hongru Cai and
Wenjie Wang and
Leigang Qu and
Yinwei Wei and
Wenjie Li and
Liqiang Nie and
Tat-Seng Chua},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {813--822},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730077},
doi = {https://doi.org/10.1145/3726302.3730077}
}