Research Output

Publications

Journal articles, conference papers, and ongoing manuscripts from the CUK Computer Vision Lab.

Journal Articles Conference Papers Under Review
Journals

Journal Articles

  • 2026 Journal

    Efficient and Practical Purchase Recognition System for Unmanned Vending Machines

    Geon-Ho Kim*, Eun-Seong Kim*, Jae-Hwan Ha, Cheol-Gwan Kim, and Keunsoo Ko

    accepted to Journal of Visual Communication and Image Representation.

    * Equal contributions
  • 2026 Journal

    Reference-Guided Transformer for Face Super-Resolution

    Min-Yeong Kim*, Seung-Wook Kim*, and Keunsoo Ko

    Neurocomputing, vol. 690, pp. 133824, Aug. 2026.3

    * Equal contributions
  • 2026 Journal Early Access

    ET-SCS: Error-Tolerant Split Computing System for Internet of Things

    Keunsoo Ko, Jaewook Lee, and Haneul Ko

    IEEE Internet Computing, Early Access, Mar. 2026.

  • 2026 Journal Early Access

    Image Enhancement Based on Pigment Representation

    Se-Ho Lee, Keunsoo Ko+, and Seung-Wook Kim

    IEEE Transactions on Multimedia, Early Access, Feb. 2026.

    IF 9.7 · JCR 2.7% + Corresponding author
  • 2026 Journal

    A Spatially-Aware Crowdsensing Framework for High-Fidelity 3D View Synthesis

    Keunsoo Ko and Haneul Ko

    IEEE Consumer Electronics Magazine, vol. 15, pp. 6-17, Mar. 2026.

  • 2026 Journal

    LUTFormer: Lookup Table Transformer for Image Enhancement

    Jinwon Ko, Keunsoo Ko, Hanul Kim, and Chang-Su Kim

    Neurocomputing, vol. 660, pp. 131863, Jan. 2026.

  • 2025 Journal

    A Framework for Classifying Finger Motion using Forearm Ultrasound Imaging

    Yohan Lee*, Keunsoo Ko*, Jaeyeop Jang, Jung-Min Lee, and Changhan Yoon

    Scientific Reports, vol. 15, pp. 39719, Nov. 2025.

    * Equal contributions
  • 2025 Journal

    Error-Mask-Adaptive Dynamic Filtering for Image Inpainting

    Keunsoo Ko, Seunggyun Woo, and Chang-Su Kim

    IEEE Access, vol. 13, pp. 18403-18417, Jan. 2025.

  • 2024 Journal

    Attention-Based Hydrogen Refueling Imputation Model for Efficient Hydrogen Refueling Stations

    Keunsoo Ko and Changgyun Kim

    Applied Sciences, vol. 14, Nov. 2024.

  • 2024 Journal

    Local and Global Mixture Network for Image Inpainting

    Seunggyun Woo, Keunsoo Ko, and Chang-Su Kim

    Journal of Visual Communication and Image Representation, vol. 104, Oct. 2024.

  • 2023 Journal

    RPF: Reference-Based Progressive Face Super-Resolution Without Losing Details and Identity

    Ji-Soo Kim, Keunsoo Ko, Hanul Kim, and Chang-Su Kim

    IEEE Access, vol. 11, pp. 46707-46718, May. 2023.

  • 2022 Journal

    Edge-Aware Interactive Contrast Enhancement

    Keunsoo Ko and Chang-Su Kim

    IEEE Access, vol. 10, pp. 98981-98992, Sep. 2022.

  • 2022 Journal

    Blind and Compact Denoising Network Based on Noise Order Learning

    Keunsoo Ko, Yeong Jun Koh, and Chang-Su Kim

    IEEE Transactions on Image Processing, vol. 31, pp. 1657-1670, Jan. 2022.

    IF 13.7 · JCR 2.0% Code
  • 2021 Journal

    Gluing Reference Patches Together for Face Super-Resolution

    Ji-Soo Kim, Keunsoo Ko, and Chang-Su Kim

    IEEE Access, vol. 9, pp. 169321-169334, Dec. 2021.

  • 2021 Journal

    IceNet for Interactive Contrast Enhancement

    Keunsoo Ko and Chang-Su Kim

    IEEE Access, vol. 9, pp. 168342-168354, Dec. 2021.

  • 2021 Journal

    Light Field Super-Resolution via Adaptive Feature Remixing

    Keunsoo Ko, Yeong Jun Koh, Soonkeun Chang, and Chang-Su Kim

    IEEE Transactions on Image Processing, vol. 30, pp. 4114-4128, Apr. 2021.

    IF 13.7 · JCR 2.0% Code
  • 2021 Journal

    Edge-Network-Assisted Real-Time Object Detection Framework for Autonomous Driving

    Seung-Wook Kim, Keun-Soo Ko, Han-Eul Ko, and Victor Leung

    IEEE Network, vol. 35, pp. 177-183, Feb. 2021.

    IF 6.8 · JCR 9.3%
Conferences

Conference Papers

  • 2026 Conference

    Frequency-domain Manipulation for Face Obfuscation

    Jintae Kim, Keunsoo Ko, and Chang-Su Kim

    In CVPR, Denver, USA, Jun. 2026.

    Top CS Conf. · BK IF=4 Highlight
  • 2026 Conference

    CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation

    Jinwon Ko, Keunsoo Ko, and Chang-Su Kim

    In CVPR, Denver, USA, Jun. 2026.

    Top CS Conf. · BK IF=4
  • 2025 Conference

    A User-Guided and Motion-Adaptive Framework for Virtual Product Placement in Video

    Tianwen Zhang, Ju-Won Seo, Kang-Min Kim, and Keunsoo Ko

    In APSIPA, Singapore, Oct. 2025.

  • 2023 Conference

    Continuously Masked Transformer for Image Inpainting

    Keunsoo Ko and Chang-Su Kim

    In ICCV, Paris, France, Oct. 2023.

    Top CS Conf. · BK IF=4 Code
  • 2020 Conference

    Adaptive Lattice-Aware Image Demosaicking Using Global and Local Information

    Ji-Soo Kim, Keunsoo Ko, and Chang-Su Kim

    In ICIP, Abu Dhabi, United Arab Emirates, Oct. 2020.

  • 2020 Conference

    BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation

    Junheum Park, Keunsoo Ko, Chul Lee, and Chang-Su Kim

    In ECCV, Glasgow, United Kingdom, Aug. 2020.

    Top CS Conf. · BK IF=2 Code
  • 2018 Conference

    PAC-NET: Pairwise Aesthetic Comparison Network for Image Aesthetic Assessment

    Keunsoo Ko, Jun-Tae Lee, and Chang-Su Kim

    In ICIP, Athens, Greece, Oct. 2018.

Manuscripts

Under Review

Manuscripts currently under review or double-blind review.

  • Under Review Journal

    Localization-to-Synthesis Framework for Virtual CT Angiography

    Keunsoo Ko*, Jin Young Yoo*, Moon Hyung Choi, Kyu-Jin Jung, and Jimin Kim

    Submitted to Scientific Reports.

    * Equal contributions
  • Under Review Journal

    Progressive Identity-Preserving Transformer for Reference-based Blind Face Restoration

    Eun-Seong Kim*, Min-Yeong Kim*, and Keunsoo Ko

    Submitted to IEEE Transactions on Circuits and Systems for Video Technology.

    * Equal contributions
  • Under Review Double-blind

    Face Obfuscation

    Yejun So and Keunsoo Ko

    Double-blind peer review.

  • Under Review Double-blind

    Privacy-Enhancing Technology

    Jintae Kim, Keunsoo Ko, and Chang-Su Kim

    Double-blind peer review.

Contact

Research Collaboration

For questions about publications, code, datasets, or research collaboration, please contact the CUK Computer Vision Lab.

Contact Us