Publications

* Equal Contribution

2024

  1. Generalized Coverage for More Robust Low-Budget Active Learning
    European Conference on Computer Vision (ECCV), 2024
  2. Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation
    Youngmin Kim, Saejin Kim, Hoyeon Moon, Youngjae Yu*, and Junhyug Noh*
    arXiv preprint, 2024
  3. Deep Learning-Based Intravascular Ultrasound Images Segmentation in Coronary Artery Disease: A Start Developing the Cornerstone
    Nghia Nguyen Ho, Kwan Yong Lee, Junhyug Noh, and Sang-Wook Lee
    Korean Circulation Journal, 2024

2023

  1. Towards Explainable Computer Vision Methods via Uncertainty Activation Map
    Asian Conference on Pattern Recognition (ACPR), 2023
  2. Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator
    Asian Conference on Pattern Recognition (ACPR), 2023
  3. Predicting Outcomes of Continuous Renal Replacement Therapy Using Body Composition Monitoring: A Deep-Learning Approach
    Kyung Don Yoo*, Junhyug Noh*Wonho Bae, Jung Nam An, Hyung Jung Oh, Harin Rhee, Eun Young Seong, Seon Ha Baek, Shin Young Ahn, Jang-Hee Cho, and  others
    Scientific Reports, 2023

2022

  1. Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
    European Conference on Computer Vision (ECCV), 2022
  2. One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model
    Wonho BaeJunhyug Noh, Milad Jalali Asadabadi, and Danica J. Sutherland
    International Joint Conference on Artificial Intelligence (IJCAI), 2022
  3. Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022

2021

  1. What and When to Look?: Temporal Span Proposal Network for Video Relation Detection
    arXiv preprint, 2021
  2. Revisiting Dropout: Escaping Pressure for Training Neural Networks with Multiple Costs
    Sangmin WooKangil KimJunhyug Noh, Jong-Hun Shin, and Seung-Hoon Na
    Electronics, 2021
  3. Line Chart Understanding with Convolutional Neural Network
    Chanyoung Sohn, Heejong Choi, Kangil Kim, Jinwook Park, and Junhyug Noh
    Electronics, 2021

2020

  1. Recalibration and Validation of the Charlson Comorbidity Index in an Asian Population: the National Health Insurance Service-National Sample Cohort Study
    Jae Shin Choi, Myoung-Hee Kim, Yong Chul Kim, Youn-Hee Lim, Hyun Joo Bae, Dong Ki Kim, Jae Yoon Park, Junhyug Noh, and Jung Pyo Lee
    Scientific Reports, 2020
  2. Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea
    Junhyug Noh*, Kyung Don Yoo*, Wonho Bae, Jong Soo Lee, Kangil Kim, Jang-Hee Cho, Hajeong Lee, Dong Ki Kim, Chun Soo Lim, Shin-Wook Kang, and  others
    Scientific reports, 2020
  3. Rethinking Class Activation Mapping for Weakly Supervised Object Localization
    European Conference on Computer Vision (ECCV), 2020

2019

  1. Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection
    Junhyug NohWonho Bae, Wonhee Lee, Jinhwan Seo, and Gunhee Kim
    IEEE International Conference on Computer Vision (ICCV), 2019

2018

  1. Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network
    Kangil Kim, Dong-Kyun Kim, Junhyug Noh, and Minhyeok Kim
    IEEE Access, 2018
  2. Conflict Relaxation of Activation-Based Regularization for Neural Network
    Kangil KimJunhyug Noh, Dong-Kyun Kim, and Minhyeok Kim
    IEEE Access, 2018
  3. Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

2017

  1. A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study
    Kyung Don Yoo*, Junhyug Noh*, Hajeong Lee, Dong Ki Kim, Chun Soo Lim, Young Hoon Kim, Jung Pyo Lee, Gunhee Kim, and Yon Su Kim
    Scientific reports, 2017

2016

  1. 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
    Kyung Don Yoo, Clara Tammy Kim, Myoung-Hee Kim, Junhyug NohGunhee Kim, Ho Kim, Jung Nam An, Jae Yoon Park, Hyunjeong Cho, Kyoung Hoon Kim, and  others
    Medicine, 2016

2015

  1. Machine Learning Models and Statistical Measures for Predicting the Progression of IgA Nephropathy
    Junhyug Noh, Dharani Punithan, Hajeong Lee, JungPyo Lee, YonSu Kim, DongKi Kim, and Robert Ian McKay
    International Journal of Software Engineering and Knowledge Engineering, 2015

2014

  1. Predicting the Progression of IgA Nephropathy using Machine Learning Methods
    Junhyug Noh, Dharani Punithan, Hajeong Lee, Jung Pyo Lee, Yon Su Kim, Dong Ki Kim, and Robert Ian McKay
    International Conference on Bioinspired Information and Communications Technologies, 2014

2013

  1. Estimating Multiple Evoked Emotions from Videos
    Wonhee Choe, Hyo-Sun Chun, Junhyug Noh, Seong-Deok Lee, and Byoung-Tak Zhang
    Annual Meeting of the Cognitive Science Society (CogSci), 2013