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qiaozhijian/README.md

Hi, I'm Zhijian Qiao.

I work on world models and spatial understanding for robotics and autonomous driving.

PhD candidate at HKUST, advised by Prof. Shaojie Shen.

Website · Google Scholar · Email

GitHub Stats: 2,269 project stars, 1,038 commits in 2026, 8 PRs, 82 issues, 12 contributed repositories, A- activity score Most Used Languages: TeX 48.61%, C 24.12%, Python 12.91%, C++ 8.71%, BibTeX Style 4.41%, HTML 1.24%

Snapshot: 2026-10-10 · Private aggregates included · Statistics scope

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  1. HKUST-Aerial-Robotics/G3Reg HKUST-Aerial-Robotics/G3Reg Public

    A fast and robust global registration library for outdoor LiDAR point clouds.

    C++ 330 27

  2. HKUST-Aerial-Robotics/MonoLaneMapping HKUST-Aerial-Robotics/MonoLaneMapping Public

    Online Monocular Lane Mapping Using Catmull-Rom Spline (IROS 2023)

    Python 439 59

  3. nv-tlabs/vipe nv-tlabs/vipe Public

    ViPE: Video Pose Engine for Geometric 3D Perception

    Python 2.1k 177

  4. HKUST-Aerial-Robotics/FM-Fusion HKUST-Aerial-Robotics/FM-Fusion Public

    [RA-L] FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

    C++ 159 6

  5. HKUST-Aerial-Robotics/LiDAR2BIM-Registration HKUST-Aerial-Robotics/LiDAR2BIM-Registration Public

    Global Registration between LiDAR Point Cloud and Building Information Model

    C++ 80 7

  6. VCR-Net VCR-Net Public

    End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences (IROS 2020)

    Python 22 2