Joohyun Chang

I am a first-year M.S. student at KAIST Advanced Machine Intelligence (AMI) Lab, affiliated with the School of Computing at Korea Advanced Institute of Science and Technology (KAIST), where I am advised by Prof. Tae-Hyun Oh. I received my bachelor’s degree at Kyung Hee University

My research interests include vision language models, multi-modal learning, and video question answering.

Contact Info: CV / Email / Linkedin / Github

News

Aug 02, 2025	One paper has been accepted to BMVC 2025 as an Oral paper

Preprints

* Co-first authorship (equal contribution)
† Corresponding author

TPAMI

CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition

Jongseo Lee^*, Joohyun Chang^*, Dongho Lee, and Jinwoo Choi^†

Under review at IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2025

arXiv Bib

@article{lee2025ca2st,
  title = {CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition},
  author = {Lee, Jongseo and Chang, Joohyun and Lee, Dongho and Choi, Jinwoo},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {2025},
}

Publications

BMVC

HERO-VQL: Hierarchical, Egocentric and Robust Visual Query Localization

Joohyun Chang^*, Soyeon Hong^*, Hyogun Lee^*, Seong Jong Ha, Dongho Lee, Seong Tae Kim^†, and Jinwoo Choi^†

To appear in The Thirty Sixth British Machine Vision Conference (BMVC) , 2025

* Accepted as a full oral paper

arXiv Bib

@inproceedings{chang2025herovql,
  title = {HERO-VQL: Hierarchical, Egocentric and Robust Visual Query Localization},
  author = {Chang, Joohyun and Hong, Soyeon and Lee, Hyogun and Ha, Seong Jong and Lee, Dongho and Kim, Seong Tae and Choi, Jinwoo},
  booktitle = {The Thirty Sixth British Machine Vision Conference},
  year = {2025},
}

Honors & Awards

Best Paper Award (Honorable Mention), IPIU, 2025
Best Paper Award (Honorable Mention, Undergraduate), KCC, 2024
Achievement Scholarship, Anyang City Talent Nurture Foundation, 2024
Lee Min-young Alumni Scholarship, Kyunghee University, 2023 -- 2024

Education

M.S. in School of Computing, Korea Advanced Institute of Science and Technology (KAIST)

2025 -- Present
B.S. in Computer Science and Engineering, Kyung Hee University

2019 -- 2025

Experience

Undergraduate Research Intern, Vision and Learning Lab at Kyung Hee University

Advisor: Jinwoo Choi

2023 -- 2025

Office: Rm. 608, E3-5 (KRAFTON SoC Building), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea