| Style neophile: Constantly seeking novel styles for domain generalization J Kang, S Lee, N Kim, S Kwak IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 80 | 2022 |
| Fifo: Learning fog-invariant features for foggy scene segmentation S Lee, T Son, S Kwak IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 64* | 2022 |
| Combating Label Distribution Shift for Active Domain Adaptation S Hwang, S Lee, S Kim, J Ok, S Kwak European Conference on Computer Vision (ECCV), 2022 | 16 | 2022 |
| Human pose estimation in extremely low-light conditions S Lee, J Rim, B Jeong, G Kim, B Woo, H Lee, S Cho, S Kwak IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 7 | 2023 |
| Active learning for semantic segmentation with multi-class label query S Hwang, S Lee, H Kim, M Oh, J Ok, S Kwak Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions S Lee, N Kim, S Kim, S Kwak arXiv preprint arXiv:2407.13437, 2024 | | 2024 |
| Method and device for learning fog-invariant feature S KWAK, T SON, S LEE US Patent App. 18/338,760, 2023 | | 2023 |
Suha KwakPOSTECH在 postech.ac.kr 的电子邮件经过验证
