Optimizing Discriminative Vision-Language Models for Efficient Multimodal Intent Recognition.
Jinwang Song|Zhongtian Hua|Hongying Zan|Yingjie Han|Min Peng
| Anthology ID: | DBLP:conf/www/SongHZHP25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3063-3067 |
| URL: | https://doi.org/10.1145/3701716.3718369 |
| DOI: | https://doi.org/10.1145/3701716.3718369 |
| DBLP: | conf/www/SongHZHP25 |
| BibTeX: |
@inproceedings{song-2025-optimizing,
author = {Jinwang Song and
Zhongtian Hua and
Hongying Zan and
Yingjie Han and
Min Peng},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Optimizing Discriminative Vision-Language Models for Efficient Multimodal Intent Recognition}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {3063--3067},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3718369},
doi = {https://doi.org/10.1145/3701716.3718369}
}