| Distilling robust and non-robust features in adversarial examples by information bottleneck J Kim, BK Lee, YM Ro Advances in Neural Information Processing Systems 34, 17148-17159, 2021 | 38 | 2021 |
| Causal Unsupervised Semantic Segmentation J Kim, BK Lee, YM Ro https://arxiv.org/abs/2310.07379, 2023 | 13 | 2023 |
| Masking adversarial damage: Finding adversarial saliency for robust and sparse network BK Lee, J Kim, YM Ro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression J Kim, BK Lee, YM Ro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Interpretation of lesional detection via counterfactual generation J Kim, M Kim, YM Ro 2021 IEEE International Conference on Image Processing (ICIP), 96-100, 2021 | 9 | 2021 |
| Mitigating adversarial vulnerability through causal parameter estimation by adversarial double machine learning BK Lee, J Kim, YM Ro Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Robust perturbation for visual explanation: Cross-checking mask optimization to avoid class distortion J Kim, S Kim, ST Kim, YM Ro IEEE Transactions on Image Processing 31, 301-313, 2021 | 6 | 2021 |
| Mitigating Dataset Bias in Image Captioning through CLIP Confounder-free Captioning Network YJ Kim, J Kim, BK Lee, S Shin, YM Ro 2023 IEEE International Conference on Image Processing (ICIP), 2023 | 5 | 2023 |
| What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models J Kim, YJ Kim, YM Ro arXiv preprint arXiv:2403.13513, 2024 | 3* | 2024 |
| Unsupervised disentangling of viewpoint and residues variations by substituting representations for robust face recognition M Kim, J Hong, J Kim, HJ Lee, YM Ro 2020 25th International Conference on Pattern Recognition (ICPR), 8952-8959, 2021 | 1 | 2021 |
| CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models J Kim, H Kim, Y Kim, YM Ro arXiv preprint arXiv:2406.01920, 2024 | | 2024 |
| Learning Style Correlation for Elaborate Few-Shot Classification J Kim, M Kim, JU Kim, HJ Lee, S Lee, J Hong, YM Ro 2020 IEEE International Conference on Image Processing (ICIP), 1791-1795, 2020 | | 2020 |
Yong Man RoProfessor of Electrical Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
