Personal profile
Education
- 2019 Ph.D., KAIST
- 2016 M.S., KAIST
- 2008 B.S., Sogang Universtiy
- 2016 M.S., KAIST
- 2008 B.S., Sogang Universtiy
Professional Experience
- 2018.02-2018.08 Research Intern, Microsoft Research Asia
- 2019.06-2019.08 Visiting Scholar, Carnegie Mellon University
- 2019-present Professor, Department of Electrical Engineering and Computer Science, DGIST
- 2019.06-2019.08 Visiting Scholar, Carnegie Mellon University
- 2019-present Professor, Department of Electrical Engineering and Computer Science, DGIST
Research Interests
- Computer Vision
- Machine Learning
- Robot Vision
- Machine Learning
- Robot Vision
Major Research Achievements
- Best Academic Award, DGIST 2021
- Best Poster Award, Samsung AI Forum, Samsung Research 2018
- Microsoft Research Asia (MSRA) Fellowship Winner 2018
- Silver prize, HumanTech Paper Award, Samsung Electronics Co., Ltd. 2016
- Qualcomm Innovation Award 2016, Qualcomm Korea Corp 2016
- Best Poster Award, Samsung AI Forum, Samsung Research 2018
- Microsoft Research Asia (MSRA) Fellowship Winner 2018
- Silver prize, HumanTech Paper Award, Samsung Electronics Co., Ltd. 2016
- Qualcomm Innovation Award 2016, Qualcomm Korea Corp 2016
URL
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Dive into the research topics where Sunghoon Im is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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
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Scale-Invariant and View-Relational Representation Learning for Full Surround Monocular Depth
Hwang, K., Choi, W., Han, K., Choi, W., Choi, M., Na, Y., Park, M. & Im, S., 2026, In: IEEE Robotics and Automation Letters. 11, 1, p. 1002-1009 8 p.Research output: Contribution to journal › Article › peer-review
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BurstM: Deep Burst Multi-scale SR Using Fourier Space with Optical Flow
Kang, E. G., Lee, B., Im, S. & Jin, K. H., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 459-477 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15100 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Scopus citations -
Content-Adaptive Style Transfer: A Training-Free Approach with VQ Autoencoders
Gim, J., Park, J., Lee, K. & Im, S., 2025, Computer Vision – ACCV 2024 - 17th Asian Conference on Computer Vision, Proceedings. Cho, M., Laptev, I., Tran, D., Yao, A. & Zha, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 187-204 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15476 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation
Kim, J., Woo, J., Shin, U., Oh, J. & Im, S., 2025, In: IEEE Robotics and Automation Letters. 10, 4, p. 3462-3469 8 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
Choi, W., Hwang, K., Choi, M., Han, K., Choi, W., Shin, M. & Im, S., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 3, p. 2555-2563 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Scopus citations