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parkie0517/README.md

Hi, I'm Heejun Park

A passionate 3D Vision Engineer

My goal is to develop a multimodal perception AI that is robust to missing modalities and capable of making logical inferences.

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Languages and Tools:

bash c cplusplus docker flask git linux matlab opencv python pytorch

 parkie0517

parkie0517

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  1. NYUDepthV2_PointCloud_Converter NYUDepthV2_PointCloud_Converter Public

    Utility to convert the NYU Depth V2 dataset into point clouds for advanced 3D visualization and analysis.

    Python 11

  2. SemanticKITTI-MultiFrameGeneration SemanticKITTI-MultiFrameGeneration Public

    Generate Fused MultiFrame semantic-KITTI Dataset

    Python 2

  3. Visual-Prompt-Tuning-for-ViT-B-4 Visual-Prompt-Tuning-for-ViT-B-4 Public

    Apply Visual Prompt Tuning (VPT) on a ViT model! Let's see if VPT improves the model's performance.

    Python 2 1

  4. RC-Autonomous-Taxi RC-Autonomous-Taxi Public

    🚗 We developed a Remote Control Autonomous Taxi service called "R-Mutax".

    Python 1 1

  5. Transfer-Learning-Based-Backdoor-Attack-Vulnerabilities-in-3D-Point-Cloud-Classifiers Transfer-Learning-Based-Backdoor-Attack-Vulnerabilities-in-3D-Point-Cloud-Classifiers Public

    Investigating the Vulnerability of 3D Point Cloud Classifiers to Backdoor Attacks Leveraging Transfer Learning

    Python 1

  6. Investigating-the-Effects-of-Bag-of-Tricks Investigating-the-Effects-of-Bag-of-Tricks Public

    Investigating the Effects of Bag of Tricks for Object Classification Models: ResNet and ViT

    Python 1