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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. A paper list of object detection using deep learning.

    8.7k 2.4k

  2. A curated list of awesome anomaly detection resources

    919 226

  3. carrier of tricks for image classification tutorials using pytorch.

    Python 46 10

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

    Python 21 1

  5. A simple PyTorch codebase for semantic segmentation using Cityscapes.

    Jupyter Notebook 10 4

  6. Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.

    Jupyter Notebook 15 8

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