publications

* denotes equal contribution and joint lead authorship.

2025

  1. WACV
    SFLD: Reducing the content bias for AI-generated Image Detection
    Seoyeon Gye*, Junwon Ko*, Hyounguk Shon*, Minchan Kwon, and Junmo Kim
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (Oral presentation), 2025
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2024

  1. IJCAI Workshop
    Neural Vicinal Risk Minimization: Noise-robust Distillation for Noisy Labels
    Hyounguk Shon, Seunghee Koh, Yunho Jeon, and Junmo Kim
    In Proceedings of the IJCAI-2024 AISafety Workshop, 2024
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  2. AAAI
    FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
    Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, and Junmo Kim
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
    HTML Poster

2023

  1. ICCV
    Disposable Transfer Learning for Selective Source Task Unlearning
    Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, and Junmo Kim
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2023
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  2. ICRA
    Lightweight Monocular Depth Estimation via Token-Sharing Transformer
    Dong-Jae Lee*, Jae Young Lee*, Hyunguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, and Junmo Kim
    In IEEE International Conference on Robotics and Automation, Oct 2023
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2022

  1. ECCV
    DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning
    Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, and Junmo Kim
    In European Conference on Computer Vision, Oct 2022
    HTML Poster
  2. NeurIPS
    UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
    Janghyeon Lee*, Jongsuk Kim*, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, and Junmo Kim
    In Advances in Neural Information Processing Systems, Oct 2022
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  3. ECCV
    On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network
    Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, and Junmo Kim
    In European Conference on Computer Vision, Oct 2022
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2021

  1. CVPR
    Joint Negative and Positive Learning for Noisy Labels
    Youngdong Kim, Juseung Yun, Hyounguk Shon, and Junmo Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2021
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