| Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary HJ Lee, JU Kim, S Lee, HG Kim, YM Ro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 132 | 2020 |
| Endometrium Segmentation on TVUS Image Using Key‐point Discriminator H Park, HJ Lee, HG Kim, YM Ro, D Shin, SR Lee, SH Kim, M Kong Medical physics, 2019 | 30* | 2019 |
| Investigating vulnerability to adversarial examples on multimodal data fusion in deep learning Y Yu, HJ Lee, BC Kim, JU Kim, YM Ro arXiv preprint arXiv:2005.10987, 2020 | 24 | 2020 |
| Lightweight and effective facial landmark detection using adversarial learning with face geometric map generative network HJ Lee, ST Kim, H Lee, YM Ro IEEE Transactions on Circuits and Systems for Video Technology 30 (3), 771-780, 2019 | 19 | 2019 |
| CUA loss: Class uncertainty-aware gradient modulation for robust object detection JU Kim, ST Kim, HJ Lee, S Lee, YM Ro IEEE Transactions on Circuits and Systems for Video Technology 31 (9), 3529-3543, 2020 | 16 | 2020 |
| Fake video detection with certainty-based attention network DH Choi, HJ Lee, S Lee, JU Kim, YM Ro 2020 IEEE International Conference on Image Processing (ICIP), 823-827, 2020 | 15 | 2020 |
| Robust ensemble model training via random layer sampling against adversarial attack H Lee, HJ Lee, ST Kim, YM Ro arXiv preprint arXiv:2005.10757, 2020 | 12 | 2020 |
| Map: Multispectral adversarial patch to attack person detection T Kim, HJ Lee, YM Ro ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 11 | 2022 |
| Defending person detection against adversarial patch attack by using universal defensive frame Y Yu, HJ Lee, H Lee, YM Ro IEEE Transactions on Image Processing 31, 6976-6990, 2022 | 10 | 2022 |
| Adversarially robust hyperspectral image classification via random spectral sampling and spectral shape encoding S Park, HJ Lee, YM Ro IEEE Access 9, 66791-66804, 2021 | 10 | 2021 |
| Face tells detailed expression: Generating comprehensive facial expression sentence through facial action units J Hong, HJ Lee, Y Kim, YM Ro MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South …, 2020 | 8 | 2020 |
| Teacher and student joint learning for compact facial landmark detection network HJ Lee, WJ Baddar, HG Kim, ST Kim, YM Ro MultiMedia Modeling: 24th International Conference, MMM 2018, Bangkok …, 2018 | 8 | 2018 |
| Towards robust training of multi-sensor data fusion network against adversarial examples in semantic segmentation Y Yu, HJ Lee, BC Kim, JU Kim, YM Ro ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| Efficient ensemble model generation for uncertainty estimation with Bayesian approximation in segmentation HJ Lee, ST Kim, H Lee, N Navab, YM Ro arXiv preprint arXiv:2005.10754, 2020 | 6 | 2020 |
| Adversarially robust multi-sensor fusion model training via random feature fusion for semantic segmentation HJ Lee, YM Ro 2021 IEEE International Conference on Image Processing (ICIP), 339-343, 2021 | 4 | 2021 |
| Robust video facial authentication with unsupervised mode disentanglement M Kim, HJ Lee, S Lee, YM Ro 2020 IEEE International Conference on Image Processing (ICIP), 1321-1325, 2020 | 3 | 2020 |
| Advancing adversarial training by injecting booster signal HJ Lee, Y Yu, YM Ro IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
| Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound image H Lee, HG Kim, H Park, D Shin, YM Ro Medical Imaging 2019: Image Processing 10949, 822-830, 2019 | 2 | 2019 |
| Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning HJ Lee, YM Ro IEEE Transactions on Information Forensics and Security 18, 4021-4033, 2023 | 1 | 2023 |
| 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 |
Yong Man RoProfessor of Electrical Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
