| 2025 | ICCV | DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization. | Dongyeun Lee, Jiwan Hur, Hyounguk Shon, Jae Young Lee, Junmo Kim |
| 2025 | WACV | Reducing the Content Bias for AI-generated Image Detection. | Seoyeon Gye, Junwon Ko, Hyounguk Shon, Minchan Kwon, Junmo Kim |
| 2024 | AAAI | FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. | Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim |
| 2023 | ICCV | Disposable Transfer Learning for Selective Source Task Unlearning. | Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim |
| 2022 | ECCV | DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. | Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim |
| 2022 | ECCV | On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network. | Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim |
| 2021 | CVPR | Joint Negative and Positive Learning for Noisy Labels. | Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim |