Jinjiang Li — accepted AI-conference papers

2026

Empowering Semantic-Sensitive Underwater Image Enhancement with VLM

Guodong Fan, Shengning Zhou, Genji Yuan, Huiyu Li, Jingchun Zhou, Jinjiang Li

AAAI 2026technical

In recent years, learning-based underwater image enhancement (UIE) techniques have rapidly evolved. However, distribution shifts between high-quality enhanced outputs and natural images can hinder semantic cue extraction for downstream vision tasks, thereby limiting the adaptability of existing enha

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2023

Jump Over Block (JOB): An Efficient Line-of-Sight Checker for Grid/Voxel Maps With Sparse Obstacles

Zhuo Yao, Wei Wang, Jiadong Zhang, Yan Wang, Jinjiang Li

RA-L 2023

Line-Of-Sight (LOS) check plays a crucial role in collision avoidance and time comsuming, particularly in scenarios involving large-scale maps with sparse obstacles, as it necessitates a grid-by-grid state check. Specifically, LOS check consumes more than half of the computational time in any-angle

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