PointCloudYC (Chao YIN (尹 超)) · GitHub
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Enjoy researching and life.
:octocat:
Enjoy researching and life.
104 followers · 97 following

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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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PointCloudYC/README.md

Hi, I'm Chao YIN (尹超) 👋

Research Scientist · 3D Point Clouds | LiDAR Scene Understanding | Scan-to-BIM

🗂️ Key Repos

Type Repo Description
Dataset Industrial3D 620M pts, 12-class MEP LiDAR dataset
Method ResPointNet2 Residual PointNet++ · includes PSNet5 dataset
Method se-pseudogrid SE-PseudoGrid for piping classification
Method SQN-pytorch 1st PyTorch impl of SQN (weak supervision)
Resource Deep-Learning-On-Point-Clouds Curated DL × point cloud reading list

📧 cyinac [at] connect.ust.hk | Google Scholar | ORCID | WeChat: ychaoonline

My academic homepage: homepage

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  1. ResPointNet2 ResPointNet2 Public

    ResPointNet++ for AutoCon journal paper.

    Python 44 3

  2. Industrial3D Industrial3D Public

    Industrial3D: A Terrestrial LiDAR Point Cloud Dataset and Cross-Paradigm Benchmark for Industrial Infrastructure

    11 1

  3. se-pseudogrid se-pseudogrid Public

    SE-PseudoGrid for the AutoCon journal paper.

    Jupyter Notebook 9 3

  4. Deep-Learning-On-Point-Clouds Deep-Learning-On-Point-Clouds Public

    A curated list of primary sources on applying deep learning on point cloud data.

    64 5

  5. SQN-pytorch SQN-pytorch Public

    Pytorch implementation of SQN for weakly supervised segmentation on point clouds.

    Python 1

  6. SQN_tensorflow SQN_tensorflow Public

    TensorFlow re-implementation of SQN for weakly supervised segmentation on point clouds.

    Python 14