| 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 | 89 | 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 | 70* | 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 | 21 | 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 | 13 | 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, 27020-27039, 2023 | 3 | 2023 |
| FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions S Lee, N Kim, S Kim, S Kwak European Conference on Computer Vision (ECCV), 2024 | 1 | 2024 |
| Method and apparatus for learning human pose estimation in low-light conditions K Suha, J Rim, B Woo, KIM Geonu, S Cho, LEE Sohyun, LEE Haechan US Patent App. 18/364,823, 2024 | | 2024 |
| Method and device for learning fog-invariant feature S KWAK, T SON, S LEE US Patent App. 18/338,760, 2023 | | 2023 |
| FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions—Supplementary Material— S Lee, N Kim, S Kim, S Kwak | | |
Suha KwakPOSTECHПотвърден имейл адрес: postech.ac.kr
