Litao Qu — accepted AI-conference papers

2025

Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening

Yinghui Xing, Litao Qu, Shizhou Zhang, Di Xu, Yingkun Yang, Yanning Zhang

CVPR 2025poster

Pansharpening aims at integrating complementary information from panchromatic and multispectral images. Available deep-learning based pansharpening methods typically perform exceptionally with particular satellite datasets. At the same time, it has been observed that these models also exhibit scene…

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2024

Complementary Fusion Network Based on Frequency Hybrid Attention for Pansharpening

Yinghui Xing, Litao Qu, Kai Zhang, Yan Zhang, Xiuwei Zhang, Yanning Zhang

ICASSP 2024accepted

Pansharpening is a feasible way to obtain the high-resolution (HR) multispectral (MS) images by using panchromatic (PAN) images to sharpen low-resolution MS images. Despite its great advances, most existing pansharpening methods neglect the importance of integrating local and non-local characteristi…

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