Dayoung Gong
Integrated M.S. & Ph.D. student in the Computer Vision Lab at POSTECH.

I am a graduate student in the Graduate School of Artificial Intelligence integrated M.S. & Ph.D. program at POSTECH. I am a member of the Computer Vision Lab at POSTECH, advised by Prof. Minsu Cho.
Previously, I completed my B.S. in Convergence IT Engineering at POSTECH.
My research interests lie in computer vision and deep learning, especially in understanding temporal and semantic relations between actions in long-term videos.
I’ve worked on long-term action anticipation.
If you are interested in my research projects, please feel free to contact me by clicking one of the icons below.
News
Feb 27, 2025 | Our paper ‘Video Summarization with Large Language Models’ is accepted to CVPR 2025. |
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Sep 27, 2024 | 📝 Our paper ‘ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation’ is accepted to NeurIPS 2024. See you in Vancouver 🇨🇦! |
Aug 2, 2024 | I serve as an organizer for the Women in Computer Vision workshop at ACCV 2024, Hanoi, Vietnam. |
Jun 18, 2024 | Our paper has been accepted to the LPVL workshop at CVPR 2024. |
Jun 6, 2024 | I serve as a Technical Chair in ACCV 2024, Hanoi, Vietnam. |
Feb 27, 2024 |
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Sep 21, 2023 | 📝 A paper about neuro symbolic methods for temporal action segmentation is accepted to NeurIPS 2023. |
Feb 27, 2023 |
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Mar 3, 2022 | 📝 A paper about long-term action anticipation is accepted to CVPR 2022. |
Dec 1, 2020 |
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Education
Mar, 2020 - Present |
Pohang University of Science and Technology (POSTECH), Pohang, South Korea M.S. & Ph.D. Student in Graduate School of Artificial Intelligence Advisor: Prof. Minsu Cho. |
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Mar, 2014 - Aug, 2019 |
Pohang University of Science and Technology (POSTECH), Pohang, South Korea B.S in Convergence IT Engineering |
Publications
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Video Summarization with Large Language ModelsIEEE/CVF Conference on Computer Vision and Pattern Recogntiion (CVPR), 2025
Professional Services
Technical Chair
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Honors and Awards
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