YongJun Park

• Birth : 1994.11.23
• Email : qkr2938@gmail.com
• Email : qkr2938@koreatech.ac.kr
• Git Blog : YongJun’s AI blog
• GitHub : YongJun’s GitHub
• M.S Candidate of KOREATECH DICE Lab

Education

• 2013.03 ~ 2020.08
  B.S in Computer Science, KOREATECH University
• 2020.09 ~ 2023.02
  M.S Candidate in Computer Science, KOREATECH University DICE Lab

Research Interests

• Computer Vision
  • 2D Object Detection
  • 3D Object Detection
  • Image Generation
  • Style Transfer
  • Image to Image Translation
  • Image Classification
  • Face Recognition
  • Contrastive Learning
  • Self-supervised Learning
  • PreText Learning
• Natural Language Processing
  • Prompt Learning
• Reinforcement Learning

Publication Papers

• J. U. Jung, S. H. Lee, Y. J. Park, J. C. Park, S. B. Son, and H. S. Oh “Unified Negative Pair Generation toward the Ideal Verification Space for Face Recognition”. In British Machine Vision Conference (BMVC), 2022.
• J. C. Park, S. B. Son, S. H. Lee, J. U. Jung, Y. J. Park, and H. S. Oh “Deep Ensemble based Object Detection from Aerial Images,” Journal of Institute of Control, Robotics and Systems (in Korean), vol.27, no.12, pp.944-952, 2021.
• J. U. Jung, S. B. Son, J. C. Park, Y. J. Park, S. H. Lee and H. S. Oh “MixFace: Improving Face Verification Focusing on Fine-grained Conditions,” arXiv preprint arXiv:2111.01717, 2021.
• S. B. Son, S. H. Lee, J. C. Park, J. U. Jung, Y. J. Park and H. S. Oh “Patch Image Merge System using Deep Neural Network for Chip Defect Analysis,” Journal of Institute of Control, Robotics and Systems (in Korean), vol.27, no.8, pp.528-534, 2021.

Patent

• 스타일 전이를 이용한 실시간 작품 생성 시스템 및 그 방법(Style transfer used Real-time work producing system and its method)/10-2022-0034775
• 딥러닝 기반의 MLCC 데이터에 특화된 전이 학습 방법 및 장치(Transfer learning method and device specialized for MLCC data based on deep learning)/10-2021-0178855
• 딥러닝 기반의 MLCC 적층 얼라인먼트 검사 시스템 및 방법(Deep learning-based MLCC stacked alignment inspection system and method)/10-2021-0151239

Experience

• Projects
  • (2021.04 ~ 2022.12) 자가학습 기반 실시간 MLCC 적층 자동 검사 통합시스템 개발 ICT 바우처 지원 사업, 과학기술정보통신부(ICT), (주)삼성기전
  • (2021. 04 ~ 2022.11) 다중 CCTV를 이용한 감염병 대응 시스템 개발, KIST 융합과제
  • (2021.04 ~ 2021.11) 딥러닝 기반 비정형 객체 탐지 기술 개발, 한국항공우주연구원(KARI)
  • (2021.04 ~ 2023.01) 위성 이미지 객체 탐지 모델 개발, 개인 프로젝트
  • (2020.07 ~ 2021.11) KOREATECH 30주년 인공지능 사진사 개발, KOREATECH
• Challenges
  • (2023.01) DFC2023, IGRSS
  • (2021.09) 2021 AI Grand Challenge Track-3(사물인지, 6위), 과학기술정보통신
  • (2020.10 ~ 2020.11) 딥페이크 변조 영상 탐지 AI 경진대회(36위), 머니브레인
  • (2020.08 ~ 2020.09) HAICon2020 산업제어시스템 보안위협 탐지 AI 경진대회, 국가정보원

Study

1. (2021.06 ~ 2021.10) CS231A: Computer Vision, From 3D Reconstruction to Recognition, Stanford
2. (2020.09 ~ 2021.01) CS224d: Deep Learning for Natural Language Processing, Stanford
3. (2020.07 ~ 2020.09) CS109: Probability for Computer Scientists, Stanford
4. (2020.06 ~ 2019.09) CS231n: Convolutional Neural Networks for Visual Recognition, Stanford

Skills

• Python
  • DL & ML library : Pytorch, Scikit-learn, etc
  • Data processing library : Pandas, Numpy, etc
  • CV library : mmcv, cv2, etc
• MMDetection, MMRotate, MMSelfSup
• C/C++
• Linux
• Git