Yeeun Choi
PhD Student @ Yonsei University | Video Understanding
I am a Ph.D. student in Artificial Intelligence at Yonsei University, advised by Prof. Seon Joo Kim in the Computational Intelligence & Photography Lab (CIPLAB).
My research centers on video understanding and multi-modal large language models (MLLMs). My long-term goal is to build a real-life AI assistant that perceives and reasons over what we see and hear in everyday life. Toward this goal, I work on ultra-long video understanding, with a particular focus on egocentric video, as well as streaming video understanding that processes continuous video in real time. I am also interested in integrating diverse modalities beyond vision and language to build more context-aware and adaptive intelligent systems.
News
Publications
(* indicates equal contributions)
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Keep It Simple: Multi-Key Episodic Memory Retrieval for Ultra-Long Video UnderstandingECCV 2026 (Oral) -
Open-ended Hierarchical Streaming Video Understanding with Vision Language ModelsICCV 2025[Paper]