Chris Chen shuang.chen@durham.ac.uk
Post Doctoral Research Associate
SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM
Chen, Shuang; Zhang, Haozheng; Atapour-Abarghouei, Amir; Shum, Hubert P. H.
Authors
Haozheng Zhang haozheng.zhang@durham.ac.uk
PGR Student Doctor of Philosophy
Dr Amir Atapour-Abarghouei amir.atapour-abarghouei@durham.ac.uk
Assistant Professor
Professor Hubert Shum hubert.shum@durham.ac.uk
Professor
Citation
Chen, S., Zhang, H., Atapour-Abarghouei, A., & Shum, H. P. H. (2025, February). SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM. Presented at 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona
| Presentation Conference Type | Conference Paper (published) |
|---|---|
| Conference Name | 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) |
| Start Date | Feb 28, 2025 |
| End Date | Mar 4, 2025 |
| Acceptance Date | Oct 28, 2024 |
| Deposit Date | Nov 11, 2024 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Peer Reviewed | Peer Reviewed |
| Book Title | Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision |
| Public URL | https://durham-repository.worktribe.com/output/3091371 |
| Publisher URL | https://ieeexplore.ieee.org/xpl/conhome/1000040/all-proceedings |
This file is under embargo due to copyright reasons.
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