Yeeun Choi

PhD Student @ Yonsei University | Video Understanding

profile.jpg

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 primarily focuses on streaming video understanding, where I aim to design and develop advanced VideoLLM architectures capable of reasoning over long, continuous video streams in real-time streaming environments. This involves addressing challenges such as temporal coherence and efficient multi-frame context handling. I am also interested in exploring diverse multi-modal reasoning frameworks that integrate vision, language, and other modalities to create more adaptive and context-aware intelligent systems.

News

Jun 26, 2025 One paper accepted to ICCV 2025 :tada: See you in Honolulu!
Apr 20, 2025 One paper (ECP) accepted to CVPR 2025 EVAL-FoMo-2 Workshop!

Publications

(* indicates equal contributions)

  1. Open-ended Hierarchical Streaming Video Understanding with Vision Language Models thumbnail
    Open-ended Hierarchical Streaming Video Understanding with Vision Language Models
    Hyolim Kang* , Yunsu Park* , Youngbeom Yoo , Yeeun Choi , Seon Joo Kim
    ICCV 2025
  2. A Training-Free, Task-Agnostic Framework for Enhancing MLLM Performance on High-Resolution Images thumbnail
    A Training-Free, Task-Agnostic Framework for Enhancing MLLM Performance on High-Resolution Images
    Jaeseong Lee* , Yeeun Choi* , Heechan Choi* , Hanjung Kim , Seon Joo Kim
    CVPRW 2025