About Me
Thanks for visiting my website! ✨
I am a 1st-year Ph.D. student at UNC Chapel Hill, MURGe-Lab (Advisor: Prof. Mohit Bansal).
Previously, I was advised by Prof. Jinkyu Kim at Korea University and Prof. Sung Ju Hwang at KAIST.
Research Interests
- Reliability of Multimodal LLMs : OOD Generalization, Evaluation Metrics for Faithfulness
- Self-Evolving/Correcting Models: Model-Guided Verification
- Video Generation/Understanding
- Embodied AI: Perception in Robot Learning, Self-Driving
News
- [May. 2025] Join Adobe Research as 2025 Summer Intern 🎨
- [Jan. 2025] I had an invited talk at Cisco Meraki about “Reliability of Text-to-Video Generation”.
- [Nov. 2024] New preprint is out: check out VideoRepair! 🎬
- [Aug. 2024] I started PhD journey at the UNC Chapel Hill MURGe-Lab! 🎓
- [May. 2024] One paper got accepted to ICML2024 🇦🇹
- [Apr. 2024] One paper got accepted to CVPRW2024 🇺🇸
- [Jan. 2023] One paper is oral-presented at WACV2023 🏝️
- [Dec. 2022] I finished my first research internship at NAVER LABS! 🚙
Publications
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Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal
preprint
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ICML
Daeun Lee*, Jaehong Yoon*, Sung Ju Hwang
International Conference on Machine Learning (ICML), 2024.
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CVPRW
Daeun Lee, Minhyeok Heo, Jiwon Kim
CVPR Data-Driven Autonomous Driving Simulation Workshop (CVPRW), 2024.
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WACV
Daeun Lee, Jinkyu Kim
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
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ECCV
Hyejin Lee, Daehee Kim, Daeun Lee, Jinkyu Kim, Jaekoo Lee
European Conference on Computer Vision (ECCV), 2022.
Services
- Conference Reviewer:
- CVPR 2022,2024,2025
- ECCV 2022,2024
- AAAI 2025
- ACL 2025
Acknowledgement
💐 I have always believed that my achievements and learning are based on collaboration and my great advisers. I really appreciate Mohit Bansal, Jaehong Yoon, Jinkyu Kim, Minhyeok Heo, Sung Ju Hwang, Sungbin Lim.
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