| Learning to Optimize Domain Specific Normalization for Domain Generalization S Seo, Y Suh, D Kim, G Kim, J Han, B Han European Conference on Computer Vision, 2020, 2020 | 256 | 2020 |
| Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation S Lee, D Kim, N Kim, SG Jeong Proceedings of the IEEE International Conference on Computer Vision, 91-100, 2019 | 207 | 2019 |
| CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback S Lee, D Kim, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 108 | 2021 |
| On the Stability-Plasticity Dilemma of Class-Incremental Learning D Kim, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Learning semantic segmentation from multiple datasets with label shifts D Kim, YH Tsai, Y Suh, M Faraki, S Garg, M Chandraker, B Han European Conference on Computer Vision, 20-36, 2022 | 15 | 2022 |
| Learning Debiased and Disentangled Representations for Semantic Segmentation S Chu, D Kim, B Han Advances in Neural Information Processing Systems 34, 8355-8366, 2021 | 15 | 2021 |
| Delegated Adversarial Training for Unsupervised Domain Adaptation D Kim, S Lee, N Kim, SG Jeong 2019 IEEE International Conference on Image Processing (ICIP), 2521-2525, 2019 | 1 | 2019 |
| Robust Image Denoising through Adversarial Frequency Mixup D Ryou, I Ha, H Yoo, D Kim, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Multi-domain semantic segmentation with label shifts YH Tsai, M Faraki, Y Suh, S Garg, M Chandraker, D Kim US Patent App. 17/520,207, 2022 | | 2022 |
| Cross-Modal Prediction Consistency based Self-Training for Unsupervised Domain Adaptation D Kim, G Kim, S Seo, Y Suh, B Han, T Lee, J Han, H Jeon VisDA 2019 Challenge, 2019 | | 2019 |
Bohyung HanProfessor, Seoul National University在 snu.ac.kr 的电子邮件经过验证
