JungEun (Gracie) Kim

About Me

I recently received my Master’s degree at Machine Learning and Intelligence Lab (MLILAB) from KAIST, advised by Prof. Eunho Yang. I received my B.S. in Computer Science and Electrical Engineering from KAIST in 2022, advised by Prof. Alice Oh and Prof. In So Kweon.

During my stay at Carnegie Mellon University, I worked closely with Prof. Kris Kitani and Rohan Choudhury. Prior to that, I interned at Naver Cloud Computer Vision Team and Samsung Electronics.

My ultimate goal is to contribute to society through AI, with a particular interest in technologies that assist the socially disadvantaged. To achieve this goal, my research mainly focuses on Computer Vision, especially on (i) 3D/4D, and (ii) Vision-Language Models.

News

Publications

  • Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
    JungEun Kim*, Hangyul Yoon*, Geondo Park, Kyungsu Kim, Eunho Yang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    paper | code

Education

  • Carnegie Mellon University (CMU)
    Visiting Scholar in Computer Science
    Aug. 2024 - Mar. 2025

  • Korea Advanced Institute of Science and Technology (KAIST)
    Master Student in Artificial Intelligence
    Sep. 2022 - Feb. 2025

  • Korea Advanced Institute of Science and Technology (KAIST)
    B.S. in Computer Science and Electrical Engineering (double major)
    Mar. 2017 - Aug. 2022

Research Experiences

  • Naver Cloud Computer Vision Team
    Research Intern
    Sep. 2023 - Dec. 2023

  • Samsung Electronics
    Student Research Engineer with Scholarship
    Dec. 2020 - Aug. 2022

  • KAIST Machine Learning and Intelligence Lab (MLILAB)
    Undergraduate Intern
    Dec. 2020 - Aug. 2022

  • KAIST Software Engineering Lab (SELab)
    Undergraduate Intern
    Mar. 2021 - Nov. 2021

  • Corporation Waddle
    Co-Founder
    Mar. 2018 - Feb. 2020

Projects

  • Developing a virtual doctor LLM model, AITRICS (2024)
  • Research on the Investigation and Application of Data Augmentation, Samsung Electronics (2022)
  • Investigation and Application of Lightweighting Techniques for Deep Learning Models, Samsung Electronics (2021)
  • An Overview of Gradient Descent Optimization Algorithms with Applications, Samsung Electronics (2021)

Honors & Awards

  • Workshop Organizer, WiCV@CVPR [Link] (2025)
  • Student Speaker, KAIST-Google exploreCSR [Link] (2024)
  • Korean Government Scholarship, Scholarship for the Visiting Scholar Program at Carnegie Mellon University (2024)
  • Workshop Organizer, KAIST-Google exploreCSR [Link] (2024)
  • 1st Place, Korea Railroad Research Institute AI Competition (2023)
  • KAIST Government Scholarship, Scholarship for the Master’s Degree (2022-2024)
  • Leadership Certificate, KAIST Global Leadership Center (2022)
  • Research Scholarship, Samsung Electronics (2020-2022)
  • Conference Organizer, National Electronics Major College Student Conference (2020)
  • Student Council Member, KAIST Department of Electrical Engineering (2018-2019)
  • KAIST Government Scholarship, Scholarship for the Bachelor’s Degree (2017-2022)
  • Volunteer Service: 200+ hours of community service (2015-Present)

Teaching Experiences

  • Main Instructor, AI Competency Enhancement Program for Industrial Professionals at HD Hyundai (2023)
  • Teaching Assistant, Meachine Learning for AI at KAIST (2023)
  • Coding Assistant, AI Track at Elice (2020-2021)
  • Career Instructor, Korea Foundation for the Advancement of Science and Creativity (KOSAC) (2019-2020)
  • Teaching Assistant, Calculus at KAIST (2019)

Professional Services

  • Journal Reviewer: Progress in Engineering Science’24, Computers in Biology and Medicine’24, Computer Methods and Programs in Biomedicine’24