Dayoung Gong

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

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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.
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 :trophy: Our paper won the Excellence Award at BK21 Best Paper Award from POSTECH GSAI
Sep 21, 2023 📝 A paper about neuro symbolic methods for temporal action segmentation is accepted to NeurIPS 2023.
Feb 27, 2023 :trophy: FUTR won the Excellence Award at BK21 Best Paper Award from POSTECH GSAI
Mar 3, 2022 📝 A paper about long-term action anticipation is accepted to CVPR 2022.
Dec 1, 2020 :trophy: I won the POSTECH Creative Self-Research Scholarship.

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.
Mar, 2014 - Aug, 2019 Pohang University of Science and Technology (POSTECH), Pohang, South Korea
B.S in Convergence IT Engineering

Publications

  1. Video Summarization with Large Language Models
    Min Jung Lee,  Dayoung Gong, and Minsu Cho
    IEEE/CVF Conference on Computer Vision and Pattern Recogntiion (CVPR), 2025
  2. ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
    Dayoung Gong, Suha Kwak, and Minsu Cho
    Conference on Neural Information Processing Systems (NeurIPS), 2024
  3. Activity Grammars for Temporal Action Segmentation
    Dayoung Gong*, Joonseok Lee*, Deunsol Jung, Suha Kwak, and Minsu Cho
    Conference on Neural Information Processing Systems (NeurIPS), 2023
  4. Future Transformer for Long-term Action Anticipation
    Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, and Minsu Cho
    IEEE/CVF Conference on Computer Vision and Pattern Recogntiion (CVPR), 2022

Professional Services

Technical Chair
  • Asian Conference on Computer Vision (ACCV), 2024
Workshop Organizer
  • Women in Computer Vision in Asian Conference on Computer Vision (ACCV), 2024
Conference Reviewer
  • Conference on Neural Information Processing Systems (NeurIPS), 2024
  • European Conference on Computer Vision (ECCV), 2024
  • International Conference on Computer Vision (ICCV), 2023
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022-2024
Journal Reviewer
  • IEEE Transactions on Multimedia (TMM), 2024-25
  • International Journal of Computer Vision (IJCV), 2025

Honors and Awards

  • BK21 Best Paper Award (Excellence Award), POSTECH GSAI, 2023, 2024
  • POSTECH Creative Self-Research Scholarship, 2020 ($5,000)