Junhyug Noh
Cited by
Cited by
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
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
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
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
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
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
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
Rethinking Class Activation Mapping for Weakly Supervised Object Localization
W Bae, J Noh, G Kim
European Conference on Computer Vision (ECCV), 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
Line Chart understanding with convolutional neural network
C Sohn, H Choi, K Kim, J Park, J Noh
Electronics 10 (6), 749, 2021
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
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
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
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
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
Conflict Relaxation of Activation-Based Regularization for Neural Network
K Kim, J Noh, DK Kim, M Kim
IEEE Access 6, 52510-52518, 2018
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