Junhyug Noh
Title
Cited by
Cited by
Year
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
532017
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
492018
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
332019
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
322016
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
182018
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
142013
Rethinking Class Activation Mapping for Weakly Supervised Object Localization
W Bae, J Noh, G Kim
European Conference on Computer Vision (ECCV), 2020
112020
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
72020
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
22014
Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions
S Woo, J Noh, K Kim
arXiv preprint arXiv:2106.08543, 2021
12021
Line Chart Understanding with Convolutional Neural Network
C Sohn, H Choi, K Kim, J Park, J Noh
Electronics 10 (6), 749, 2021
12021
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
12015
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
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
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
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 Workshops, 2020
2020
Conflict Relaxation of Activation-Based Regularization for Neural Network
K Kim, J Noh, DK Kim, M Kim
IEEE Access 6, 52510-52518, 2018
2018
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Articles 1–18