• Deep-plane sweep generative adversarial network for consistent multi-view depth estimation, Machine Vision and Applications, 2022, Dong Wook Shu, Wonbeom Jang, Heebin Yoo, and Hong-Chang Shin, Junseok Kwon

Classification	Skills
Machine Learning
Language - Favorite
Language - Useable
ETC

• Bachelor of Engineering in Computer Science & Engineering, Chung-Ang University 2018. 03. ~ 2024.02.
  • GPA : 4.41/4.5

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

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