HSS-Net: Hybrid State Space Modeling for Efficient Unified Adverse Weather Restoration.
Yueqi Zhu|Baiwen Zhang|Guo Cheng|Yongkang Zhang|Feiran Liu|Er Cao|Meng Xu
| Anthology ID: | DBLP:conf/mir/ZhuZCZLCX26 |
|---|---|
| Volume: | Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026 |
| Year: | 2026 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 1635-1643 |
| URL: | https://doi.org/10.1145/3805622.3810844 |
| DOI: | https://doi.org/10.1145/3805622.3810844 |
| DBLP: | conf/mir/ZhuZCZLCX26 |
| BibTeX: |
@inproceedings{zhu-2026-hssnet,
author = {Yueqi Zhu and
Baiwen Zhang and
Guo Cheng and
Yongkang Zhang and
Feiran Liu and
Er Cao and
Meng Xu},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{HSS-Net: Hybrid State Space Modeling for Efficient Unified Adverse Weather Restoration}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {1635--1643},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810844},
doi = {https://doi.org/10.1145/3805622.3810844}
}