Thanks for visiting my website! โœจ
I am an incoming CS PhD student at UNC-Chapel Hill, MURGe-Lab (Advisor: Prof.Mohit Bansal).
Before starting PhD, I was advised by Prof.Jinkyu Kim at Korea University and Prof.Sung Ju Hwang at KAIST.

My ultimate research goal aligns with making User-Interactive AI that can help underrepresented people all around the world. I enjoyed my undergraduate research journey focusing on Autonomous Driving and Out-of-Distribution Generalization problems. Autonomous Driving was also aligned with my ultimate research goal since it is an impactful technology for every person. Here is my CV.

๐Ÿ’ญ My current research interests include

  • User-Interactive Multimodal
  • Faithfulness
  • Out-of-Distribution Generalization

๐Ÿ”ฅ News

  • 2024.06: ย ๐Ÿ›ซ Travel Grant from ICMLโ€™24 Organizers!
  • 2024.05: ย ๐ŸŽ‰ One paper got accepted to ICMLโ€™24 ย 
  • 2024.04: ย ๐ŸŽ‰ One paper got accepted to CVPRWโ€™24 ย 
  • 2024.03: ย ๐ŸŽ“ I received BE degree at KU and will start PhD journey at the University of North Carolina at Chapel Hill MURGe-Lab!
  • 2023.03: ย ๐ŸŽ‰ I started my new research journey at KAIST MLAI LAB (Under the supervision of Prof. Sung Ju Hwang) ย 
  • 2023.01: ย ๐ŸŽ‰ One paper is oral-presented at WACVโ€™23 ย 
  • 2022.12: ย ๐ŸŽ‰ I finished my first research internship at NAVER LABS well ๐Ÿš™ ย 
  • 2022.10: ย ๐ŸŽ‰ One paper is presented at ECCVโ€™22 ย 

๐Ÿ’– Publications

ICML 2024
sym
  • BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [paper] [project] [code]
    • Daeun Lee*, Jaehong Yoon*, Sung Ju Hwang (* denotes equal contribution)
    • This work was done at the KAIST MLAI Lab.
CVPRW 2024
sym
  • HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization [paper]
    • Daeun Lee, Minhyeok Heo, Jiwon Kim
    • This work was done at NAVER LABS.
WACV 2023
sym
  • Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling [paper]
    • Daeun Lee, Jinkyu Kim
    • This work was done at the Korea University VAI Lab (collaborated with Hyundai Motor).
ECCV 2022
sym
  • Bridging the Domain Gap towards Generalization in Automatic Colorization [paper]

    • Hyejin Lee, Daehee Kim, Daeun Lee, Jinkyu Kim and Jaekoo Lee
    • This work was done at the Korea University VAI Lab.
Preprint
sym
  • Trajectory Prediction by Clustering Human Interactions at Multiple Scales

    • Chiho Choi*, Daeun Lee*, Srikanth Malla, Sangjae Bae, Jinkyu Kim.
    • This work was done at the Korea University VAI Lab (collaborated with Honda Research).

๐Ÿ“– Educations

  • 2024.08 - 2029.05 (expected), Ph.D. in Computer Science. UNC-Chaple Hill.
  • 2019.03 - 2024.02, B.E. in Statistics. Korea University. (GPA: 4.0/4.5)

๐Ÿ’ป Research Experiences

  • 2024.03 - current, Contract Researcher, MLAI Lab, KAIST, South Korea.

  • 2023.03 - 2024.02, Research Intern, MLAI Lab, KAIST, South Korea.
    • Under the supervision of Prof. Sung Ju Hwang
  • 2022.07 - 2022.12, Research Intern, NAVER LABS, South Korea.
    • Autonomous Driving Perception team
  • 2021.06 - 2022.12, Research Intern, VAI Lab, Korea Univ, South Korea.
    • Under the supervision of Prof. Jinkyu Kim
  • 2021.01 - 2021.02, Data Analyst Intern, Mirae Asset Securities, South Korea.

๐ŸŽ– Honors and Awards


๐Ÿ’Œ Academic Services

  • Reviewer : CVPR 2022,2024, ECCV 2022,2024
  • Volunteer : ICML 2024

๐Ÿ’ Acknowledgement

I always believe my achievements and learning are from my great advisers and collaboration.
I really appreciate Jinkyu Kim, Jaehong Yoon, Minhyeok Heo, Sung Ju Hwang, Sungbin Lim.