| 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 International Conference on Computer Vision (ICCV …, 2019 | 77 | 2019 |
| Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors J Noh, S Lee, B Kim, G Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 73 | 2018 |
| A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study KD Yoo, J Noh, H Lee, DK Kim, CS Lim, YH Kim, JP Lee, G Kim, YS Kim Scientific reports 7 (1), 1-12, 2017 | 69 | 2017 |
| Rethinking Class Activation Mapping for Weakly Supervised Object Localization W Bae, J Noh, G Kim European Conference on Computer Vision (ECCV), 2020 | 60 | 2020 |
| Superior Outcomes of Kidney Transplantation Compared with Dialysis: An Optimal Matched Analysis of a National Population-based Cohort Study between 2005 and 2008 in Korea KD Yoo, CT Kim, MH Kim, J Noh, G Kim, H Kim, JN An, JY Park, H Cho, ... Medicine 95 (33), 2016 | 48 | 2016 |
| Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network K Kim, DK Kim, J Noh, M Kim IEEE Access 6, 75216-75228, 2018 | 30 | 2018 |
| Estimating Multiple Evoked Emotions from Videos W Choe, HS Chun, J Noh, SD Lee, BT Zhang Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci …, 2013 | 14 | 2013 |
| 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 |
| Recalibration and Validation of the Charlson Comorbidity Index in an Asian Population: the National Health Insurance Service-National Sample Cohort Study JS Choi, MH Kim, YC Kim, YH Lim, HJ Bae, DK Kim, JY Park, J Noh, ... Scientific Reports 10 (1), 1-10, 2020 | 7 | 2020 |
| Line Chart Understanding with Convolutional Neural Network C Sohn, H Choi, K Kim, J Park, J Noh Electronics 10 (6), 749, 2021 | 5 | 2021 |
| Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions S Woo, J Noh, K Kim IEEE Transactions on Neural Networks and Learning Systems, 2022 | 3 | 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, ... arXiv preprint arXiv:2010.11724, 2020 | 2 | 2020 |
| Predicting the Progression of IgA Nephropathy using Machine Learning Methods J Noh, D Punithan, H Lee, JP Lee, YS Kim, DK Kim, RIB McKay Proceedings of the 8th International Conference on Bioinspired Information …, 2014 | 2 | 2014 |
| 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 Workshops, 2020 | 1 | 2020 |
| Machine Learning Models and Statistical Measures for Predicting the Progression of IgA Nephropathy J Noh, D Punithan, H Lee, JP Lee, YS Kim, DK Kim, RIB McKay International Journal of Software Engineering and Knowledge Engineering 25 …, 2015 | 1 | 2015 |
| 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 |
| What and When to Look?: Temporal Span Proposal Network for Video Visual Relation Detection S Woo, J Noh, K Kim arXiv preprint arXiv:2107.07154, 2021 | | 2021 |
| Revisiting Dropout: Escaping Pressure for Training Neural Networks with Multiple Costs S Woo, K Kim, J Noh, JH Shin, SH Na Electronics 10 (9), 989, 2021 | | 2021 |
| Conflict Relaxation of Activation-Based Regularization for Neural Network K Kim, J Noh, DK Kim, M Kim IEEE Access 6, 52510-52518, 2018 | | 2018 |
Gunhee KimAssociate Professor, Seoul National Universitysnu.ac.kr의 이메일 확인됨
