| Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection J Noh, W Bae, W Lee, J Seo, G Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 77 | 2019 |
| Rethinking class activation mapping for weakly supervised object localization W Bae, J Noh, G Kim European Conference on Computer Vision, 618-634, 2020 | 61 | 2020 |
| Prediction of the mortality risk in peritoneal dialysis patients using machine learning models: a nation-wide prospective cohort in Korea J Noh, KD Yoo, W Bae, JS Lee, K Kim, JH Cho, H Lee, DK Kim, CS Lim, ... Scientific reports 10 (1), 1-11, 2020 | 13 | 2020 |
| LID 2020: The learning from imperfect data challenge results Y Wei, S Zheng, MM Cheng, H Zhao, L Wang, E Ding, Y Yang, A Torralba, ... arXiv preprint arXiv:2010.11724, 2020 | 2 | 2020 |
| Revisiting Class Activation Mapping for Learning from Imperfect Data W Bae, J Noh, J Seo, G Kim The 2020 Learning from Imperfect Data (LID) Challenge - CVPR Workshop, 2020 | 1 | 2020 |
| Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels MA Mohamadi, W Bae, DJ Sutherland arXiv e-prints, arXiv: 2206.12569, 2022 | | 2022 |
| One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model W Bae, J Noh, MJ Asadabadi, DJ Sutherland arXiv preprint arXiv:2205.01233, 2022 | | 2022 |
Junhyug NohLawrence Livermore National Laboratoryllnl.gov의 이메일 확인됨
