| Learning debiased classifier with biased committee N Kim, S Hwang, S Ahn, J Park, S Kwak Advances in Neural Information Processing Systems 35, 18403-18415, 2022 | 44 | 2022 |
| Combating label distribution shift for active domain adaptation S Hwang, S Lee, S Kim, J Ok, S Kwak European Conference on Computer Vision, 549-566, 2022 | 21 | 2022 |
| Adaptive superpixel for active learning in semantic segmentation H Kim, M Oh, S Hwang, S Kwak, J Ok Proceedings of the IEEE/CVF International Conference on Computer Vision, 943-953, 2023 | 8 | 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 |
| Active Label Correction for Semantic Segmentation with Foundation Models H Kim, S Hwang, S Kwak, J Ok arXiv preprint arXiv:2403.10820, 2024 | 2 | 2024 |
| Learning to detect semantic boundaries with image-level class labels N Kim, S Hwang, S Kwak International Journal of Computer Vision 130 (9), 2131-2148, 2022 | 2 | 2022 |
| Extreme Point Supervised Instance Segmentation H Lee, S Hwang, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Combating Label Distribution Shift for Active Domain Adaptation—Supplementary Material— S Hwang, S Lee, S Kim, J Ok, S Kwak | | |
