Zhaocheng Yu — accepted AI-conference papers

2026

Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining

Zhaocheng Yu, Kui Jiang, Junjun Jiang, Xianming Liu, Guanglu Sun, Yi Xiao

AAAI 2026technical

Rain significantly degrades the performance of computer vision systems, particularly in applications like autonomous driving and video surveillance. While existing deraining methods have made considerable progress, they often struggle with fidelity of semantic and spatial details. To address these l

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2025

Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weather

Kui Jiang, Jing Cao, Zhaocheng Yu, Junjun Jiang, Jingchun Zhou

IJCAI 2025

Monocular depth estimation is critical for applications such as autonomous driving and scene reconstruction. While existing methods perform well under normal scenarios, their performance declines in adverse weather, due to challenging domain shifts and difficulties in extracting scene information. T

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