JungEun (Gracie) Kim

About Me

I am a Master’s student at Machine Learning and Intelligence Lab (MLILAB) at 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.

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, and (ii) Vision-Language Models.

News

  • Aug 2024: Settled in Pittsburgh, PA, and started my visiting student program at Carnegie Mellon University!
  • Jun 2024: Successfully organized the KAIST exploreCSR workshop, sponsored by Google, as a workshop organizer!
  • Jun 2024: I am attending CVPR in person. Looking forward to seeing you in Seattle!
  • Apr 2024: I will be visiting Carnegie Mellon University as a Korean government-sponsored student starting this August. Looking forward to collaborating on projects!
  • Feb 2024: UVI-Net is accepted to CVPR 2024.
  • Sep 2023: Achieved 1st Place in the Korea Railroad Research Institute AI Competition.

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 Student in Computer Science, fully funded by the Korean Government
    Aug. 2024 - Feb. 2025

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

  • 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
    Undergraduate 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

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, KAIST-Google exploreCSR [Link] (2024)
  • 1st Place, Korea Railroad Research Institute AI Competition (2023)
  • Leadership Mileage Certificate, KAIST Global Leadership Center (2022)
  • Conference Organizer, National Electronics Major College Student Conference (2020)
  • Student Council Member, KAIST Department of Electrical Engineering (2018-2019)
  • 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