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Highlights

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hoya012/README.md

Hoseong, Lee @hoya012

hoya012

🔭 Career

  • Received the B.S. degrees, in Electrical and Computer Engineering from Seoul National University, Seoul, Korea, in 2016.
  • Received the M.S. degrees, in Electrical and Computer Engineering from Seoul National University, Seoul, Korea, in 2018.
  • Joined the SUALAB. ,Seoul, Korea, as a Deep Learning Research Engineer, in 2018.
  • SUALAB was acquired by Cognex in 2019.10. So, I am currently working at Cognex.

🌱 Interest

  • Image Recognition using Deep Learning
    • Classification
    • Object Detection
    • Segmentation
  • Anomaly Detection
  • Image Processing using Deep Learning
    • Super Resolution
    • Style Transfer
  • Learning Theory
    • Weakly-Supervised Learning
    • Semi-Supervised Learning
    • Self-Supervised Learning

👯 Side Jobs & Hobby

 hoya012

📫 How to reach me

Pinned

  1. deep_learning_object_detection

    A paper list of object detection using deep learning.

    9.2k 2.6k

  2. awesome-anomaly-detection

    A curated list of awesome anomaly detection resources

    1.1k 264

  3. carrier-of-tricks-for-classification-pytorch

    carrier of tricks for image classification tutorials using pytorch.

    Python 59 11

  4. automatic-mixed-precision-tutorials-pytorch

    Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custom dataset.

    Python 32 2

  5. semantic-segmentation-tutorial-pytorch

    A simple PyTorch codebase for semantic segmentation using Cityscapes.

    Jupyter Notebook 40 8

  6. swa-tutorials-pytorch

    Stochastic Weight Averaging Tutorials using pytorch.

    Python 3 2

191 contributions in the last year

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Contribution activity

November 2020

Created 2 commits in 1 repository

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