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Yura Choi(최유라)
I am a first-year Ph.D. student in the Department of Computing at Imperial College London, advised by Dr. Jiankang Deng and Prof. Stefanos Zafeiriou.
My Ph.D. study is supported by the Department of Computing Scholarship.
My primary research interests lie in building user-friendly intelligent assistants equipped with spatio-temporal aware video understanding capabilities, leveraging Multimodal Large Language Models (MLLMs).
Previously, I received my M.S. degree in Artificial Intelligence from Yonsei University and my B.S. degree in Electrical Engineering and Computer Science from Gwangju Institute of Science and Technology (GIST), both under the supervision of Prof. Jonghyun Choi.
During my master's, I focused on aligning video modalities for LLMs using preference optimization techniques such as RLAIF and DPO, as well as improving text-to-video retrieval capabilities.
CV  / 
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Teaser coming soon
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A Paper About Egocentric Gesture-Based Assistants
Yura Choi,
Roy Miles,
Rolandos Alexandros Potamias,
Ismail Elezi,
Jiankang Deng,
Stefanos Zafeiriou
Under review
[paper (coming soon)]
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What Happens When: Learning Temporal Orders of Events in Videos
Daechul Ahn*,
Yura Choi*,
Hyeonbeom Choi*,
Seongwon Cho,
San Kim,
Jonghyun Choi
WACV 2026 (To appear)
[paper (coming soon)]
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Moment-Aware Video Retrieval for Video Corpus Moment Retrieval
Yura Choi*,
Daechul Ahn*,
San Kim,
Jonghyun Choi
IEEE ACCESS 2025
[paper]
[bibtex]
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Iterative Self-Retrospective Judgement for Multimodal Large Language Models for Videos
Daechul Ahn*,
Yura Choi*,
San Kim,
Youngjae Yu,
Dongyeop Kang,
Jonghyun Choi
AAAI 2025
[paper]
[bibtex]
[code]
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Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback
Daechul Ahn,
Yura Choi,
Youngjae Yu,
Dongyeop Kang,
Jonghyun Choi
ACL 2024 (Oral Presentation)
[paper]
[project page]
[bibtex]
[code]
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- Doctoral Scholarship Award, DoC Imperial College London, London, United Kingdom
- Full tuition and a living stipend for the duration of the PhD program
- May 2025 - May 2029
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