Personal profile
In Korean
정든솔 교수(IT대학/컴퓨터학부)
Education
o (2016) B.A., Pohang University of Science and Technology, Pohang
o (2024) Ph.D., Pohang University of Science and Technology, Pohang
o (2024) Ph.D., Pohang University of Science and Technology, Pohang
Professional Experience
o (2024) Postdoctoral Researcher, Pohang University of Science and Technology (POSTECH), Pohang, Korea
o (2025) Postdoctoral Researcher, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
o (2025~Present) Assistant Professor, Kyungpook National University, Daegu, Korea
o (2025) Postdoctoral Researcher, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
o (2025~Present) Assistant Professor, Kyungpook National University, Daegu, Korea
Research Interests
Computer Vision, Deep Learning, Neural Network, Scene Graph Generation, Human-Object Interaction Detection, Neuro-Symbolic Learning, Graph Neural Network, Relational Reasoning, Large Language Model, Multi-modal Learning
Major Research Achievements
o Devil's on the Edges: Selective Quad Attention for Scene Graph Generation
o Few-Shot Metric Learning: Online Adaptation of Embedding for Retrieval
o Activity Grammar for Temporal Action Segmentation
o Relational Context Learning for Human-Object Interaction Detection
o Locality-Aware Interaction for Zero-Shot Human-Object Interaction Detection
o Few-Shot Metric Learning: Online Adaptation of Embedding for Retrieval
o Activity Grammar for Temporal Action Segmentation
o Relational Context Learning for Human-Object Interaction Detection
o Locality-Aware Interaction for Zero-Shot Human-Object Interaction Detection
url
Fingerprint
Dive into the research topics where Deunsol Jung is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 6 Conference contribution
-
Burst Image Super-Resolution with Base Frame Selection
Kim, S., Lee, M., Kim, W., Jung, D., Rim, J., Cho, S. & Cho, M., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE Computer Society, p. 5940-5949 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Activity Grammars for Temporal Action Segmentation
Gong, D., Lee, J., Jung, D., Kwak, S. & Cho, M., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
13 Scopus citations -
Devil’s on the Edges: Selective Quad Attention for Scene Graph Generation
Jung, D., Kim, S., Kim, W. H. & Cho, M., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 18664-18674 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
50 Scopus citations -
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Jung, D., Kang, D., Kwak, S. & Cho, M., 2023, Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings. Wang, L., Gall, J., Chin, T.-J., Sato, I. & Chellappa, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 54-70 17 p. (Lecture Notes in Computer Science; vol. 13845 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
Relational Context Learning for Human-Object Interaction Detection
Kim, S., Jung, D. & Cho, M., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 2925-2934 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
77 Scopus citations