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Sizhao Li

3 accepted papers

2026

Robust Noise Modeling for Spike Camera via Time-Interval Quantification and Spike-DSLR Multimodal Dataset in Low-Light Imaging

AAAI 2026technical

The inherent differences between spike cameras and traditional frame-based cameras lead to more complex and diverse noise characteristics, particularly under extremely low-light conditions. Existing noise modeling approaches for spike camera predominantly rely on inter-spike intervals (ISI) for nois

Cited by 0SourcePDFScholar
2025

ZVEFusion: Zero-Shot Visual Enhancement Fusion for Infrared and Visible Images in Low Light

ICASSP 2025accepted

Infrared and visible image fusion (IVIF) aims to generate fused images with prominent targets and rich scene information. However, in low-light conditions, visible images lose accurate texture and color, reducing their ability to provide detailed scene information for fusion. Existing IVIF methods o…

Cited by 0SourceScholar
2025

Zero-Shot Noise2Mean: Gap Minimization for Efficient Denoising from a Single Noisy Image

AAAI 2025technical

Acquiring pairwise noisy-clean training data is challenging. Consequently, some self-supervised denoising methods utilize noisy image pairs as both input and target for network training. However, a major issue with these methods is the gap between the clean images of the input and target. In this pa…