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.

Email  /  Google Scholar  /  Github  /  Curriculum Vitae

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News

2025

  • 2025-11: One paper accepted to IEEE RA-L and will be presented at ICRA 2026.
  • 2025-11: One paper accepted to AAAI 2026 as an oral paper.
  • 2025-09: I am going to work as Visiting Scholar at Jun Gao's Lab in University of Michigan for five months.
  • 2025-06: I received the DGIST Post-Graduate Research Abroad Award.
  • 2025-01: One paper accepted to ICLR 2025.

    2024

  • 2024-12: One paper accepted to AAAI 2025.
  • 2024-11: Our team received the Top Award at the 16th Electronics Newspaper ICT Paper Contest.
  • 2024-04: One paper accepted to IEEE T-PAMI.
  • Selected Publications

    * indicates equal contribution
    † indicates corresponding author
    Some papers are highlighted.



    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]
    ICCV25 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]
    dise 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]
    dise 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]
    dise 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]
    Experience


    dise Visiting Scholar (Advisor: Prof. Jun Gao)
    Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA
    (Sep. 2025 - Feb. 2026)
    dise Research Intern (Advisor: Dr. Kwangju Kim)
    Electronics and Telecommunications Research Institute (ETRI), Daegu, South Korea
    (Jul.  2019 - Aug. 2019)
    (Jan. 2019 - Feb. 2019)
    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

  • Website Template


    © Kyumin Hwang | Last updated: Feb 1, 2025