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SkiddieAhn/README.md

πŸ‘‹ Welcome to SKD's Github Today

πŸ™ Experience

Data Engineering Lab

Researcher (2023.03 ~ present)
Intern Researcher (2022.03 ~ 2023.02)
Yonsei Univ. Dept of Computer Science

  • Visual Tracking
  • Video Anomaly Detection
  • Medical Image Segmentation

CVMI Lab

Undergraduate Researcher (2021.06 ~ 2022.02)
Catholic Univ. Dept of Media Technology & Media Contents

  • Object Detection
  • Image Processing

πŸ“œ Publications

International Papers
  1. [SCIE] Seungkyun Hong*, Sunghyun Ahn*, Youngwan Jo, and Sanghyun Park. (*equally contributed) "Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer" IEEE Access (2024): 36712-36726. (IF: 3.9, JCR: Q2) [View]
  2. Seungkyun Hong*, Sunghyun Ahn*, Youngwan Jo, and Sanghyun Park. (*equally contributed) "Dual Stream Fusion U-Net Transformers for 3D Medical Image Segmentation" IEEE International Conference on Big Data and Smart Computing (BigComp) 2024, regular paper, Feb 2024. [View]
Domestic Papers
  1. 이기정, μ•ˆμ„±ν˜„, κΉ€ν˜„μ§„ and λ°•μƒν˜„. "FFAE: λΉ„λ””μ˜€ 이상 탐지λ₯Ό μœ„ν•œ λΉ„λ””μ˜€ ν”„λ ˆμž„ μ „μ²˜λ¦¬ 및 νŠΉμ§• μœ΅ν•© 방법" ν•œκ΅­μ •λ³΄κ³Όν•™νšŒ ν•™μˆ λ°œν‘œλ…Όλ¬Έμ§‘ (2023): 526-528. [View]
  2. μ•ˆμ„±ν˜„, κΉ€ν™˜ν¬, κΆŒμ„ΈμΈ and λ°•μƒν˜„. "C-Swin UNETR: 3D 의료 μ˜μƒ 뢄할을 μœ„ν•œ 채널 μ–΄ν…μ…˜μ΄ 적용된 Swin Transformer." ν•œκ΅­μ •λ³΄κ³Όν•™νšŒ ν•™μˆ λ°œν‘œλ…Όλ¬Έμ§‘ (2023): 787-789. [View]
  3. μ•ˆμ„±ν˜„, μ‘°μ˜μ™„, and λ°•μƒν˜„. "닀쀑 객체 λΉ„λ””μ˜€μ—μ„œμ˜ μ–΄ν…μ…˜ 기반 단일 객체 좔적 λͺ¨λΈ 연ꡬ." ν•œκ΅­μ •λ³΄κ³Όν•™νšŒ ν•™μˆ λ°œν‘œλ…Όλ¬Έμ§‘ (2022): 628-630. [View]
International Patent
  1. Seungkyun Hong, Sunghyun Ahn, Youngwan Jo, and Sanghyun Park. "Image segmentation method using dual attention and the device utilizing it." ID: PCT/KR2023/020370 (2023). [View]
Domestic Patent
  1. 이기정, μ‘°μ˜μ™„, μ•ˆμ„±ν˜„, and λ°•μƒν˜„. "닀쀑λͺ¨λ‹¬ ν™•μ‚° 기반의 λΉ„λ””μ˜€ 이상 탐지 방법 및 μž₯치." ID: 10-2024-0055081 (2024). [View]
  2. ν™μŠΉκ· , μ•ˆμ„±ν˜„, μ‘°μ˜μ™„, and λ°•μƒν˜„. "F2LM 기반의 λΉ„λ””μ˜€ 이상 탐지 방법 및 μž₯치." ID: 10-2024-0055080 (2024). [View]
  3. ν™μŠΉκ· , μ•ˆμ„±ν˜„, μ‘°μ˜μ™„, and λ°•μƒν˜„. "이쀑 μ–΄ν…μ…˜μ„ μ΄μš©ν•œ 이미지 μ„Έκ·Έλ©˜ν…Œμ΄μ…˜ 방법 및 이λ₯Ό ν™œμš©ν•œ μž₯치." ID: 10-2023-0124697 (2023). [View]

βš™οΈ Projects

Main Projects
  1. κΈˆμœ΅λ³΄μ•ˆμΊ ν”„. "금육 λ©”νƒ€λ²„μŠ€ ν”Œλž«νΌ λ‚΄ GAN을 ν™œμš©ν•œ μ†κΈˆ 인증 μ„œλΉ„μŠ€." (2022) [View]
  2. 객체지ν–₯ νŒ¨λŸ¬λ‹€μž„. "κ°€ν†¨λ¦­λŒ€ λ°₯ 약속 μ±„νŒ… μ–΄ν”Œλ¦¬μΌ€μ΄μ…˜: WE_EAT." (2022) [View][Code]
  3. μΊ‘μŠ€ν†€ λ””μžμΈ. "AI 기반 냉μž₯κ³  속 μ‹ν’ˆ μœ ν†΅κΈ°ν•œ 관리 챗봇: 프리지." (2022) [View][Code] πŸ†
  4. 연ꡬ 과제. "슀마트 νŒœμ„ μœ„ν•œ 였리 객체 κ²€μΆœ 및 뢄석." (2022) [View]
Side Projects
  1. μ΄μ‚°μˆ˜ν•™. "우리만의 λΉ„λ°€μ½”λ“œ: UBI μ•”ν˜Έν™”." (2021) [View][Code]

πŸ‘¨β€πŸ« Teaching

Yonsei University College of Computing
  1. 단기 κ°•μ˜. "λ°μ΄ν„°λ² μ΄μŠ€μ‹œμŠ€ν…œμ‘μš© (CSI8782.01-01)" (2024) [View]
  2. μˆ˜μ—… 쑰ꡐ. "μ»΄ν“¨ν„°κ³Όν•™μž…λ¬Έ (CSI2106.01-00)" (2023~2024)
Yonsei Graduate School of Engineering
  1. μˆ˜μ—… 쑰ꡐ. "λ”₯λŸ¬λ‹κΈ°λ°˜μ΄μƒνƒμ§€λͺ¨λΈλ§ (GEK6207.01-00)" (2023) [View]

πŸ… Awards

  • κ°€ν†¨λ¦­λŒ€ν•™κ΅ μΊ‘μŠ€ν†€λ””μžμΈ κ²½μ§„λŒ€νšŒ [μžμ—°/곡학/μœ΅ν•© λΆ€λ¬Έ] λŒ€μƒ
  • κ°€ν†¨λ¦­λŒ€ν•™κ΅ μš°λ“±μƒ [Magna Cum Laude]
  • λŒ€ν•™μƒ κΈˆμœ΅λ³΄μ•ˆμΊ ν”„ 아이디어 κ²½μ—°λŒ€νšŒ TOP 9

☎ Contact

E-mail: skd@yonsei.ac.kr, CV: view

Pinned Loading

  1. Paper-Making-Anomalies-More-Anomalous Paper-Making-Anomalies-More-Anomalous Public

    [IEEE Access] PyTorch Implementation of the Paper 'Making Anomalies More Anomalous': Official Version

    Python 2

  2. Code-Future-Frame-Prediction Code-Future-Frame-Prediction Public

    [CVPR 2018] Future Frame Prediction for Anomaly Detection (pytorch implementation)

    Python 3 4

  3. Code-Conditional-Diffusion-Model Code-Conditional-Diffusion-Model Public

    [NIPSW 2021] Classifier Free Guidance (pytorch implementation)

    Python 1

  4. Code-Vision-Transformer Code-Vision-Transformer Public

    [ICLR 2021] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (pytorch tutorial)

    Jupyter Notebook 1 2

  5. TA-Deep-Learning TA-Deep-Learning Public

    Codes for hands-on lectures, Teaching Assistant data on Deep learning lecture.

    Jupyter Notebook

  6. Study-Diffusion-Model Study-Diffusion-Model Public

    Study Diffusion Model with PyTorch Implementation

    Jupyter Notebook