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Woo Jae Kim

Ph.D. Candidate

School of Computing, KAIST


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I am a Ph.D. candidate in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST advised by Prof. Sung-Eui Yoon. I received my M.S. degree in Computer Science from KAIST and received my B.S. degree in Computer Science from KAIST in 2021 with minor in Electrical Engineering. I spent most of my childhood growing up in the United States, having graduated from Northview High School in Johns Creek, GA. I am also a recipient of the Qualcomm Innovation Fellowship 2023.

My research focuses on adversarial robustness, AI safety, and 3D computer vision. I develop robust AI systems that maintain performance under diverse real-world threats, with recent work on protecting intellectual property of neural radiance fields and building mixture-of-experts architectures for multi-threat defense. I also collaborate extensively on 3D vision problems and privacy-preserving machine learning. More recently, I am interested in building robust and safe Vision-Language-Action (VLA) systems that can operate reliably in the real world.

I am actively seeking for industrial internship positions. Please feel free to contact me for any potential opportunities!

Contact

  • wkim97 [at] kaist.ac.kr

  • Bldg E3-1, Rm 3446, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

  • Ph.D in Computer Science, KAIST

    - Advisor: Sung-Eui Yoon

    Mar. 2023 - Current

  • M.S. in Computer Science, KAIST

    - Advisor: Sung-Eui Yoon

    Mar. 2021 - Feb. 2023

  • B.S. in Computer Science, KAIST

    - Minor in Electrical Engineering

    Sep. 2016 - Feb. 2021

  • High School, Northview High School, Johns Creek, GA, USA

    Sep. 2012 - May. 2016

News

  • [Sep 2025] Our paper is chosen as the best student paper at ICIP 2025!
  • [Aug 2025] Two papers are accepted to BMVC 2025.
  • [Jun 2025] One paper is accepted to ICIP 2025.
  • [Feb 2025] One paper is accepted to ICLR 2025.
  • [Sep 2024] One paper is accepted to NeurIPS 2024.
  • [Feb 2024] One paper is accepted to CVPR 2024.
  • [Jan 2024] Our work on adversarial defense is invited for a talk at Qualcomm Korea.
  • [Nov 2023] I received the Qualcomm Innovation Fellowship!
  • [Jul 2023] Our work on adversarial defense is invited for oral and poster presentations at KCCV 2023.
  • [Jul 2023] One paper is accepted to ICCV 2023.
  • [Feb 2023] One paper is accepted to CVPR 2023 as a highlights paper.
  • [Feb 2023] One paper is accepted to i3D 2023.
  • [Jun 2022] One paper is accepted to ICIP 2022 as an oral paper.
  • [Mar 2022] One paper is accepted to CVPR 2022.
  • [Jan 2022] One paper is accepted to ICASSP 2022.

Publications

  • AegisRF: Adversarial Perturbations Guided with Sensitivity for Protecting Intellectual Property of Neural Radiance Fields

    Woo Jae Kim, Kyu Beom Han, Yoonki Cho, Youngju Na, Junsik Jung, Sooel Son, and Sung-Eui Yoon

    BMVC 2025

    [Project] [Paper] [Code]

  • Learning Event-guided Exposure-agnostic Video Frame Interpolation via Adaptive Feature Blending

    Junsik Jung, Yoonki Cho, Woo Jae Kim, Lin Wang, and Sung-Eui Yoon

    BMVC 2025

    [Paper]

  • Pose-free 3D Gaussian splatting via shape-ray estimation

    Youngju Na*, Taeyeon Kim*, Jumin Lee, Kyu Beom Han, Woo Jae Kim, and Sung-Eui Yoon

    ICIP 2025 Best student paper award (Top 0.16%)

    [Paper]

  • AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption

    Joonsung Jeon, Woo Jae Kim, Suhyeon Ha, Sooel Son, and Sung-Eui Yoon

    ICLR 2025

    [Project] [Paper] [Code]

  • Generalizable Person Re-identification via Balancing Alignment and Uniformity

    Yoonki Cho, Jaeyoon Kim, Woo Jae Kim, Junsik Jung, and Sung-Eui Yoon

    NeurIPS 2024

    [Project] [Paper] [Code]

  • UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and UnFavOrable Sets

    Youngju Na, Woo Jae Kim, Kyu Beom Han, Suhyeon Ha, and Sung-Eui Yoon

    CVPR 2024

    [Project] [Paper] [Code]

  • Towards Content-based Pixel Retrieval in Revisited Oxford and Paris

    Guoyuan An, Woo Jae Kim, Saelyne Yang, Rong Li, Yuchi Huo, and Sung-Eui Yoon

    ICCV 2023

    [Project] [Paper] [Datasets and Code] [Interactive Tools]

  • Feature Separation and Recalibration for Adversarial Robustness

    Woo Jae Kim, Yoonki Cho, Junsik Jung, and Sung-Eui Yoon

    CVPR 2023 Highlights paper (~2.5% acceptance rate)

    [Project] [Paper] [Code]

  • Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo Denoising

    Kyubeom Han, Olivia G. Odenthal, Woo Jae Kim, and Sung-Eui Yoon

    i3D 2023

    also published at Proceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT)

    [Project] [Paper] [Code]

  • Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks

    Woo Jae Kim, Seunghoon Hong, and Sung-Eui Yoon

    ICIP 2022 Oral paper (~10% acceptance rate)

    [Project] [Paper] [Code]

  • Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

    Yoonki Cho, Woo Jae Kim, Seunghoon Hong, and Sung-Eui Yoon

    CVPR 2022

    [Project] [Paper] [Code]

  • Deep Video Inpainting Guided by Audio-Visual Self-Supervision

    Kyuyeon Kim, Junsik Jung*, Woo Jae Kim*, and Sung-Eui Yoon (* equal contributions)

    ICASSP 2022

    [Project] [Paper] [Code]

Awards & Honors

  • Winner, Qualcomm Innovation Fellowship, 2023 ($4000)
  • Paper Award, 34th Workshop on Image Processing and Image Understanding (IPIU), 2022
  • Best Teaching Assistant Award, School of Computing, KAIST, 2021 & 2023
  • Grand Prix (1st place), Undergraduate Research Program, KAIST, 2021
  • National Government Fellowship, South Korea Government, 2016 - Present

Invited Talks & Presentations

  • Invited Talk on adversarial robustness, Qualcomm Korea, 2024
  • Invited Presentation on adversarial robustness, Korean Conference on Computer Vision (KCCV), 2023

Experiences

Reviewer

  • CVPR (2023-2025)
  • ICCV (2023, 2025)
  • ECCV (2024)
  • NeurIPS (2025)
  • ACM MM (2025)
  • WACV (2025)
  • ACCV (2024)