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Achievement: Starstruckx2Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx2Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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@CLUG-kr

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wonbeomjang/README.md

Hi, There 👋

Wonbeom Jang

WonbeomJang's github stats

solvedac profile

Linkedin Hits

💻 Work Experience

Role Company Period
ML/DL Engineer SK Telecom 2024.01. ~
Deep Learning Researcher (Intern) Neurocle 2023.01. ~ 2023.08.

🔬 Research Experience

Role Company Period
Undergraduate Researcher Computer Vision Machine Learning Lab.
(Advisor. Prof. Junseok Kwon)		 2019.08. ~ 2020.08.

📄 Paper

🛠️ Tech Skill

Classification Skills
Machine Learning PyTorch Tensorflow Keras
Language - Favorite Python
Language - Useable C++
ETC AWS Git Docker

🏅 Awards

Awards Grade Date Note
Military Service Open SW Online Hackathon Navy Chief of Staff Award 2021.10. Canary
Barrier-free App Development Contest Encouragement Award 2020.11. Zipyak

🎓 Education

🚂 Toy Project

2021

  • Canary: Image mosaic for military AI_APP_WEB_Canary_Canary_2021, yolov5-knowledge-distillation
    • Proceed with knowledge distillation in yolov5
    • Analyze problems of model and data, and improve performance over 14.9%p
    • Building an administrator server for log collection and deployment of the latest models
    • Some part of codes receives 23 stars at github

2019

  • Zipyak: Pharmacological Information Service for the Blind link
    • Use google cloud vision OCR to iOS application
    • Creating Pharmacological Information Retrieval Algorithm with OCR Data
    • User interviews and user-friendly app design
  • Photo Filter Application – ESRGAN-pytorch, ESRGAN-pytorch, ESRGAN-pytorch
    • Implementing Style transfer using cnn, CycleGAN, ESRGAN
    • Deploy using pip and github to use on Django
    • ESRGAN receive 75 stars at github
  • Fash: Fashion classification and recommendation system
    • Build classification model and deploy to iOS applications using libtorch and object c++

2018

  • Hair segmentation for mobile device - github.com/wonbeomjang/mobile-hair-segmentation-pytorch
    • Implementing HairMatteNet and Improving Performance
    • Improve performance and reduce execution time by changing model structure and quantization
    • Improve IOU 0.73%p, reduce interference time 42.9% and model size 56%
    • This project receives 102 stars at github

📧 Contact me

[email protected]

Pinned Loading

  1. mobile-hair-segmentation-pytorch mobile-hair-segmentation-pytorch Public

    Re-implementation Real-time deep hair matting on mobile devices on pytorch

    Python 151 27

  2. ESRGAN-pytorch ESRGAN-pytorch Public

    re-implementation super resolution pytorch using ESRGAN

    Python 100 26

  3. yolov5-knowledge-distillation yolov5-knowledge-distillation Public

    Forked from ultralytics/yolov5

    implementation of Distilling Object Detectors with Fine-grained Feature Imitation on yolov5

    Python 110 19

  4. Knowledge-Distilling-PyTorch Knowledge-Distilling-PyTorch Public

    Implementation of Distilling the Knowledge in a Neural Network https://arxiv.org/pdf/1503.02531.pdf

    Python 6 4

  5. gripp-deep gripp-deep Public

    Forked from cannot-climb/gripp-deep

    gripp deep learning server

    Jupyter Notebook

  6. osamhack2021/AI_APP_WEB_Canary_Canary_2021 osamhack2021/AI_APP_WEB_Canary_Canary_2021 Public

    Forked from chjung99/AI_APP_WEB_Canary_Canary_2021

    Python 2