About me

I am a postdoctoral researcher in Department of Computer Science and Engineering at Pohang University of Science and Technology (POSTECH) and a member of the Computer Vision Lab.. I completed my Ph.D. in 2024, under the supervision of Minsu Cho at POSTECH, Pohang, Korea. My research interest is computer vision and deep learning, especially scene graph generation and neuro-symbolic learning.

News

  • [Sep. 2024] I have started a new role as a Postdoctoral reseracher at POTSECH, working with Prof. Minsu Cho.
  • [Aug. 2024] I am glad to announce that I successfully defended my Ph.D. dissertation, “Scene Understaning with Contextual Reasoning via Message Passing.”
  • [Jun. 2024] A paper about burst-image enhencement is accepted to NTIRE workshop at CVPR 2024.
  • [Sep. 2023] A paper about neural symbolic methods for temporal action segmentation is accepted to NeurIPS 2023.
  • [Feb. 2023] Two papers are accepted to CVPR 2023.
  • [Mar. 2022] A paper about few-shot metric learning is accepted to ACCV 2022.
  • [Sep. 2018] A paper about semantic correspondence is accepted to ECCV 2018.

Working Experience

Publication

  • Scene Understanding with Contextual Reasoning via Message Passing
    Deunsol Jung, Ph.D. dissertation, Aug. 2024
    [paper]
  • Burst Image Super-Resolution with Base Frame Selection
    Sanghyun Kim*, Min Jung Lee*, Woohyeok Kim, Deunsol Jung, Jaesung Rim, Sunghyun Cho, Minsu Cho, NTIRE Workshop@CVPR 2024 (* Equal contributions)
    [paper] [project page]
  • Activity Grammars for Temporal Action Segmentation
    Dayoung Gong*, Joonseok Lee*, Deunsol Jung, Suha Kwak, Minsu Cho, NeurIPS 2023 (* Equal contributions)
    [paper] [project page] [github]
  • Devil’s on the Edges: Selective Quad Attention for Scene Graph Generation
    Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho, CVPR 2023
    [paper] [project page] [github]
  • Relational Context Learning for Human-Object Interaction Detection
    Sanghyun Kim, Deunsol Jung, Minsu Cho, CVPR 2023
    [paper] [project page] [github]
  • Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
    Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho, ACCV 2022
    [paper] [github]
  • Attentive Semantic Alignment with Offset-Aware Correlation Kernels
    Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho, ECCV 2018
    [paper] [project page] [github]

Education

Awards

  • Best Presentation Awards @ IPIU 2019 for outstanding poster presentation.

Teaching & Advising

  • Teaching assistant (TA) for undergraduate course
    • Object-Oriented Programming (OOP), Mar. 2017 - Aug. 2017
    • Automata and Formal Language, Sep. 2017 - Dec. 2017
    • Automata and Formal Language, Sep. 2018 - Dec. 2018
  • TA for Industry Oriented Course
    • AI expert training course for POSCO, Mar. 2017 - Oct. 2017
      • Introduction to the Python Programming
      • Computer Vision
    • Machine learning expert training course for Samsung DS, May. 2017 - Jun. 2017
      • Introduction to the Python Programming
      • Computer Vision
    • AI programming for the job seeker, Sep. 2017
      • Introduction to the Python Programming
    • AI industry professional training for Gyeongsangbuk-Do, Dec. 2017
      • Computer Vision
    • AI expert training course for POSCO, Jun. 2018 - Jul. 2018
      • Computer Vision
    • AI expert training course for POSCO, Jul. 2019 - Aug. 2019
      • Computer Vision
    • AI expert training course for POSCO, Mar. 2022 - Mar. 2022
      • Introduction to the Python Programming