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Kyumin Hwang
Hi, I'm Kyumin Hwang, a Ph.D. Student in the Department of Electrical Engineering and Computer Science at DGIST, South Korea. I am conducting my research under the supervision of Prof. Sunghoon Im at the DGIST Computer Vision Lab.
Previously, I earned the B.S. degree from the Department of Computer Science and Engineering, Kyungpook National University, in 2020, and the M.S. degree from the Department of Information and Communication Engineering, DGIST, in 2022.
My research interests include 3D computer vision, particularly multi-view stereo for 3D reconstruction, and deep learning with geometry for autonomous driving.
Recently, I have also been focusing on 3D scene understanding, including forecasting and planning, as well as video diffusion models.
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Curriculum Vitae
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Selected Publications
* indicates equal contribution
† indicates corresponding author
Some papers are highlighted.
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Scale-invariant and View-relational Representation Learning for Full Surround Monocular Depth (Oral)
Kyumin Hwang*, Wonhyeok Choi*, Kiljoon Han, Wonjoon Choi, Minwoo Choi, Yongcheon Na, Minwoo Park, Sunghoon Im†
IEEE Robotics and Automation Letters (RA-L), 2026
IEEE International Conference on Robotics and Automation (ICRA), 2026
Collaborated with the Hyundai Motor Group
[Paper]
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Infinite-Story: A Training-Free Consistent Text-to-Image Generation (Oral)
Jihun Park*, Kyoungmin Lee*, Jongmin Gim*, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Minwoo Choi, Sunghoon Im†
The Fortieth Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
[Paper]
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Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
Wonhyeok Choi*, Kyumin Hwang*, Wei Peng, Minwoo Choi, Sunghoon Im†
International Conference on Learning Representations (ICLR), 2025
Top Award in ICT Paper Contest
[Openreview][Paper]
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Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
Wonhyeok Choi*, Kyumin Hwang*, Minwoo Choi, Kiljoon Han, Wonjoon Choi, Mingyu Shin, Sunghoon Im†
The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025
[Paper]
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A Study on the Generality of Neural Network Structures for Monocular Depth Estimation
Jinwoo Bae, Kyumin Hwang, Sunghoon Im†
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI, IF: 20.8), 2024
[Paper][Code]
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Visiting Scholar (Advisor: Prof. Jun Gao)
Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA
(Sep. 2025 - Feb. 2026)
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Research Intern (Advisor: Dr. Kwangju Kim)
Electronics and Telecommunications Research Institute (ETRI), Daegu, South Korea
(Jul. 2019 - Aug. 2019)
(Jan. 2019 - Feb. 2019)
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Academic Activities
Honors and Awards
DGIST Post-Graduate Research Abroad Awards ($9,500), DGIST, Jul 2025
Top Award, 16th ICT Paper Competition and Grand Exhibition, Electronic News, Dec 2024
Teaching Experience
Teaching Assistant of Advanced Deep Learning, DGIST, Spring 2022
Teaching Assistant of Introduction to Deep Learning, DGIST, Fall 2020
Reviewer
International Conference on Learning Representations (ICLR), 2026
The Association for the Advancement of Artificial Intelligence (AAAI), 2026
Neural Information Processing Systems (NeurIPS), 2025
IEEE Signal Processing Letters
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© Kyumin Hwang | Last updated: Feb 1, 2025
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