Hello! Iβm Minyoung Kim. I am currently a undergraduate student at Korea University and a research intern of ALIN Lab at KAIST, advised by Prof. Jinwoo Shin.
My research goal is to develop a general-purpose AI system that understands the physical world and interacts with it. I am particularly interested in building general world models that maintain internal and temporal consistency and leveraging such models to enable interaction with the environment. I am also open to exploring emerging research areas that could contribute to the development of more general AI systems.
About me
- π I am a passionate undergraduate researcher at Korea University, majoring in Computer Science.
- π I am a research intern of ALIN-lab at KAIST.
- π‘ I love exploring cutting-edge technologies like World Model, Vision-Language-Action, Generative Model and Digital Watermarking.
- π± Currently, Iβm diving deeper into World Model and Vision-Language-Action.
π₯ News
- 2026.02: Β ππ One paper has been accepted by CVPR 2026 Findings.
- 2025.05: Β ππ One paper has been accepted by Interspeech 2025.
- 2025.05: Β ππ One paper has been accepted by ACL 2025.
π Education
[2023.03.01 ~ Present] B.S. in Computer Science and Engineering, Korea University
π» Experience
[2026.03 ~ Present] Research Intern, Algorithmic Intelligence Laboratory (ALIN), KAIST (Advised by Prof. Jinwoo Shin)
[2024.08 ~ 2026.02] Research Intern, Multimodal Interactive Intelligence Lab (MIIL), Korea University (Advised by Prof. Paul Hongsuck Seo)
π Honors and Awards
- [2023.11.25 ~ 2023.11.26] 2nd Place, 2023 iNThon
- [2024.07.01 ~ 2024.08.06] Corporate Sponsorship Award, 2024 SW-Centered University Digital Competition (AI Category)
π Publications
CVPR 2026 Findings Robust Image Self-Recovery against Tampering using Watermark Generation with Pixel Shuffling
Β Minyoung Kim Paul Hongsuck Seo
Interspeech 2025 Cross-Modal Watermarking for Authentic Audio Recovery and Tamper Localization in Synthesized Audiovisual Forgeries
Β Minyoung Kim Sehwan Park Sungmin Cha Paul Hongsuck Seo
ACL 2025 ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision
Dosung Lee* Wonjun Oh* Β Boyoung Kim Β Minyoung Kim Joonsuk Parkβ Β Paul Hongsuck Seoβ