| 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 International Conference on Computer Vision (ICCV), 9725-9734, 2019 | 127 | 2019 |
| Rethinking Class Activation Mapping for Weakly Supervised Object Localization W Bae, J Noh, G Kim European Conference on Computer Vision (ECCV), 618-634, 2020 | 91 | 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 | 17 | 2020 |
| Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels MA Mohamadi, W Bae, DJ Sutherland Neural Information Processing Systems (NeurIPS), 2022 | 4 | 2022 |
| Object Discovery via Contrastive Learning for Weakly Supervised Object Detection J Seo, W Bae, DJ Sutherland, J Noh, D Kim European Conference on Computer Vision (ECCV), 312-329, 2022 | 4 | 2022 |
| One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model W Bae, J Noh, MJ Asadabadi, DJ Sutherland International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 2 | 2022 |
| 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, ... The 2020 Learning from Imperfect Data (LID) Challenge - CVPR Workshop, 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 | 2 | 2020 |
| How to prepare your task head for finetuning Y Ren, S Guo, W Bae, DJ Sutherland International Conference on Learning Representations (ICLR), 2023 | 1 | 2023 |
| Meta Temporal Point Processes W Bae, MO Ahmed, F Tung, GL Oliveira International Conference on Learning Representations (ICLR), 2023 | 1 | 2023 |
| Predicting outcomes of continuous renal replacement therapy using body composition monitoring: a deep-learning approach KD Yoo, J Noh, W Bae, JN An, HJ Oh, H Rhee, EY Seong, SH Baek, ... Scientific Reports 13 (1), 4605, 2023 | | 2023 |
Junhyug NohLawrence Livermore National LaboratoryVerified email at llnl.gov
