I am an Assistant Professor in the School of Computer Science and Engineering at Kyungpook National University (KNU). My research interest is computer vision and deep learning, especially in the problems of relational reasoning, such as scene graph generation and human-object interaction detection, and neuro-symbolic learning.

Before joining KNU in the fall of 2025, I was a postdoctoral researcher in National AI Research Lab. (NAIRL) at KAIST and Department of Computer Science and Engineering at POSTECH, working with prof. Minsu Cho. I completed my Ph.D. in 2024, under the supervision of Minsu Cho at POSTECH, Pohang, Korea.

News

• [Sep. 2025] I’m really happy to share that I’ve been appointed as an Assistant Professor in the School of Computer Science and Engineering at Kyungpook National University (KNU). I will open the lab website in a few weeks.
• [Feb. 2025] A paper about zero-shot human-object interaction detection is accepted to CVPR 2025.
• [Jan. 2025] I have started a new role as a Postdoctoral researcher at National AI Research Lab. in KAIST.
• [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

• Assistant professor at KNU, Daegu, Republic of Korea
  School of Computer Science and Engineering
  College of IT Engineering
  Sep. 2025 - Current
• Postdoctoral researcher at KAIST, Seoul, Republic of Korea
  National AI Research Lab.
  Research focus: scene graph generation, neuro-symbolic learning
  working with Prof. Minsu Cho
  Jan. 2025 - Aug. 2025
• Postdoctoral researcher at POSTECH, Pohang, Republic of Korea
  Department of Computer Science and Engineering
  worked with Prof. Minsu Cho
  Research focus: scene graph generation, neuro-symbolic learning
  Sep. 2024 - Dec. 2024

Publication

• Locality-Aware Interaction for Zero-Shot Human-Object Interaction Detection
  Sanghyun Kim, Deunsol Jung, Minsu Cho
  To be appeared.
• 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

• B.S. in Computer Science and Engineering
  POSTECH, Pohang, Republic of Korea
  Mar. 2011 - Aug. 2016, GPA: 3.36/4.30
• Ph.D. (Unified master’s and doctor’s course) in Computer Vision Lab.
  Department of Computer Science and Engineering, POSTECH, Pohang, Republic of Korea
  Sep. 2016 - Aug. 2024, GPA: 3.59/4.30

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