Dachong Li — accepted AI-conference papers

2026

CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation

Zhuangzhuang Chen, Nuo Chen, Dachong Li, Zhiliang Lin, Xingyu Feng, Yifan Zhang +2

AAAI 2026technical

The goal of this work is to adapt Segment Anything Models (SAM) into crack segmentation tasks via automatic label generation, thus eliminating manual annotation cost. In this regard, an intuitive approach is to extract edges of crack samples and generate labels via the dilation and erosion processes

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2026

MTE-SLAM: Multi-Tier Feature Fusion for Efficient Neural Semantic SLAM

Danqi Lu, Changxin Huang, Zhuangzhuang Chen, Zhiliang Lin, Dachong Li, Yanbin Chang +1

ICRA 2026poster

Neural implicit representations have demonstrated excellent performance in Simultaneous Localization and Mapping (SLAM) by virtue of their ability to jointly model geometry, color and camera poses. Recent studies have attempted to integrate scene semantic information into implicit representation fra…

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