Hesong Li — accepted AI-conference papers

2026

Statistical Characteristic-Guided Denoising for Rapid High-Resolution Transmission Electron Microscopy Imaging

Hesong Li, Ziqi Wu, Ruiwen Shao, Ying Fu

CVPR 2026

High-Resolution Transmission Electron Microscopy (HRTEM) enables atomic-scale observation of nucleation dynamics, which boosts the studies of advanced solid materials. Nonetheless, due to the millisecond-scale rapid change of nucleation, it requires short-exposure rapid imaging, leading to severe no

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2025

Noise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement

Hesong Li, Ziqi Wu, Ruiwen Shao, Tao Zhang, Ying Fu

CVPR 2025poster

Scanning Transmission Electron Microscopy (STEM) enables the observation of atomic arrangements at sub-angstrom resolution, allowing for atomically resolved analysis of the physical and chemical properties of materials. However, due to the effects of noise, electron beam damage, sample thickness, et…

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