Zhongnan Cai — accepted AI-conference papers

2025

FRN: Fractal-Based Recursive Spectral Reconstruction Network

Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang +1

NeurIPS 2025poster

Generating hyperspectral images (HSIs) from RGB images through spectral reconstruction can significantly reduce the cost of HSI acquisition. In this paper, we propose a Fractal-Based Recursive Spectral Reconstruction Network (FRN), which differs from existing paradigms that attempt to directly integ…

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2025

Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables

Zhongnan Cai, Yingying Wang, Hui Zheng, Panwang Pan, ZiXu Lin, Ge Meng +7

NeurIPS 2025oral

Recently, deep learning-based pan-sharpening algorithms have achieved notable advancements over traditional methods. However, deep learning-based methods incur substantial computational overhead during inference, especially with large images. This excessive computational demand limits the applicabil…

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