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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Liangtian He

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Preprint Sep 2026

Blind Deconvolution of Binary and Pattern Images with Pixel Intensity Constraints and Sparse Gradient Prior

Blind image deconvolution (BID) is a prominent research topic in the field of imaging sciences, given its significant practical applications. Most existing model-based BID methods focus on natural images, incorporating appropriate prior knowledge about both the underlying image and the blur kernel. However, for certain...

Qinghua Zhang, Xuesong Yang, Liangtian He et al. · 0 citations
Open access Aug 2026

Dual-Domain Illumination Prior for Low-Light Remote Sensing Image Enhancement

A trainable dual-domain illumination-prior module that is jointly optimized with each host backbone and exploits frequency-domain and spatial-domain illumination statistics, which improves PSNR and SSIM over their corresponding baselines.

Chao Wang, Zhe Pan, Liangtian He et al. · 0 citations

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