Avatar

Dayun Ju

BS Student

MICV Lab, Yonsei University


CV | Google Scholar | | |


Hello, Welcome!

My name is Dayun Ju, a senior majoring in Computer Science at Yonsei University.

I am conducting research as an undergraduate researcher in the Medical Imaging & Computer Vision Lab, advised by professor Seong Jae Hwang.

My research interests include computer vision, unsupervised learning, open-vocabulary semantic segmentation, and multi-modal image synthesis, particularly in the medical domain.

Contact

  • juda0707@yonsei.ac.kr

  • Engineering Research Park, Yonsei University, Seoul, Republic of Korea

Education

  • BS in Computer Science, 2021~Present

    Yonsei University, Seoul

Recent News🎉

  • [Sep 2024] One paper has been selected as a Spotlight🔦(< 3.4%) at MICCAI 2024!
  • [Aug 2024] Iniciated research collaboration with Prof. Ming-Hsuan Yang (Google DeepMind & UC Merced).
  • [Aug 2024] Our paper EAGLE🦅(CVPR 2024 Highlight) has been invited to be presented at KCCV 2024.
  • [May 2024] One paper has been EARLY ACCEPTED (< 11%) to MICCAI 2024!
  • [Mar 2024] One paper has been accepted to CVPR 2024 as a Highlight💫(< 2.8%)!
  • [Sep 2023] Joined MICV Lab at Yonsei University as Undergraduate Researcher.

Research Experiences

  • Medical Imaging & Computer Vision Lab, Yonsei University, Seoul
    Mar 2023 - Present

    Undergraduate Researcher

Publications

  • Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning

    Woojung Han*, Chanyoung Kim*, Dayun Ju, Yumin Shim, Seong Jae Hwang

    MICCAI 2024 Spotlight (Acceptance Rate < 3.4%)

    [ project / arXiv / code ]

  • EAGLE🦅: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation

    Chanyoung Kim*, Woojung Han*, Dayun Ju, Seong Jae Hwang

    CVPR 2024 Highlight (Acceptance Rate < 2.8%)

    Short version at "Causal and Object-Centric Representations for Robotics" Workshop @ CVPR 2024

    [ project / paper / arXiv / code ]

Projects

  • Detecting TMJ MRI Abnormalities Using TMJ Tomographic Imaging

    Collaborated with the School of Dentistry🦷 to develop guidelines for TMD prevention using ML techniques

    Won the Best Oral Presentation Award at The American Academy of Orofacial Pain Conference 2024

    Funded by National Research Foundation of Korea (NRF) and Yonsei University

  • Meetable

    Developed a web application that allows users to conveniently set meeting times

    Contributed as a frontend developer using React.js

    Funded by Institute for Higher Education Innovation Yonsei University

    [ site ]

  • Alzheimer’s Disease Classification

    Designed and trained a model to classify the progression of Alzheimer’s disease using a Kaggle dataset

    Compared the performance of models using ResNet18, EfficientNet-b0, and Transformer backbones

    [ dataset ]

  • 3D Archery Game

    Created an archery game in 3D for the final project in the “Computer Graphics” course

    Contributed as a frontend developer using C++ and Blender

    [ exhibition / youtube ]

  • Photo Classifier

    Developed a web service to streamline photo categorization in group sharing scenarios

    Utilized the pretrained insightface module (buffalo sc) for face detection

    Presented at 1st YAI-CON

    [ card news / code / youtube ]

  • Uni-DTHON 2022 Organization

    Organized a hackathon and datathon in collaboration with student councils from six universitiess

    Managed the datathon track team, focusing on the development of models for dataset classification

    [ instagram ]

Academic Programs

  • University of Southern California (USC) Summer Program

    Participated as an undergraduate student in the summer of 2024

    Completed courses in Artificial Intelligence and Data Science

    Presented Alzheimer’s Disease Classification project

  • Yonsei Artificial Intelligence Academic Club (YAI)

    10th cohort member

    Participated in projects which applied AI concepts

    Studied AI basics and academic papers on CV, NLP, and Generative Models