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.

Email  /  Google Scholar  /  Github  /  Curriculum Vitae

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News

2025

  • 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 T-PAMI.
  • Selected Publications

    * indicates equal contribution
    † indicates corresponding author



    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]

    We propose a reflective-aware triplet loss and multi-teacher knowledge distillation, improving depth accuracy on reflective surfaces.

    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]

    We proposed a training strategy via intrinsic image decomposition to reduce errors on reflective surfaces and improve the depth prediction accuracy.

    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]

    We investigate the generalization performance of monocular depth estimation using various backbone networks, including CNN and Transformer models, by analyzing texture and shape biases through extensive experiments on both synthetic and real-world datasets.

    Experiences


    dise Electronics and Telecommunications Research Institute (ETRI)
    Research Intern
    (Jul.  2019 - Aug. 2019)
    (Jan. 2019 - Feb. 2019)
    Academic Activities

    Honors & 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
  • Reviewer

  • The Association for the Advancement of Artificial Intelligence (AAAI), 2026
  • Neural Information Processing Systems (NeurIPS), 2025

  • Website Template


    © Kyumin Hwang | Last updated: Feb 1, 2025