Tan Guo — accepted AI-conference papers

2026

PGMamba: A Physical Model-Guided Global Mamba for Underwater Image Enhancement

Zijun Tan, Chuan Fu, Tan Guo, Zhixiong Nan, Pengzhan Zhou, Xinggan Peng +1

AAAI 2026technical

Underwater image enhancement (UIE) aims to address image degradation caused by water absorption and scattering effects. Despite significant progress in deep learning-based UIE methods, existing approaches still face key challenges due to the neglect of physical imaging principle. Moreover, while cur

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging

Fulin Luo, Xi Chen, Xiuwen Gong, Weiwen Wu, Tan Guo

AAAI 2024technical

Coded aperture snapshot spectral imaging (CASSI) system is an effective manner for hyperspectral snapshot compressive imaging. The core issue of CASSI is to solve the inverse problem for the reconstruction of hyperspectral image (HSI). In recent years, Transformer-based methods achieve promising per…

Cited by 14 Source ↗PDF ↗code ↗Scholar ↗