Junhyug Noh
Cited by
Cited by
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
Rethinking Class Activation Mapping for Weakly Supervised Object Localization
W Bae, J Noh, G Kim
European Conference on Computer Vision (ECCV), 2020
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
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
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
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
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
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
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
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
Line Chart Understanding with Convolutional Neural Network
C Sohn, H Choi, K Kim, J Park, J Noh
Electronics 10 (6), 749, 2021
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
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 (TNNLS), 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), 2805-2811, 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
Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator
S Shin, JH Lee, J Noh, S Choi
Asian Conference on Pattern Recognition, 15-28, 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
Prediction of the Clinical Outcomes in Patients with CRRT Using Body Composition Monitoring: A Machine Learning Approach to a Multicenter Cohort Study: PO0251
KD Yoo, J Noh, JN An, SH Baek, SY Ahn, H Rhee, EY Seong, JH Cho, ...
Journal of the American Society of Nephrology 32 (10S), 129-130, 2021
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
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
The system can't perform the operation now. Try again later.
Articles 1–20