Estimating Multiple Evoked Emotions from Videos. - Wonhee Choe; Hyo-Sun Chun; Junhyug Noh; Seong-Deok Lee; Byoung-Tak Zhang (CogSci, 2013)

Predicting the Progression of IgA Nephropathy using Machine Learning Methods. - Junhyug Noh; Dharani Punithan; Hajeong Lee; Jungpyo Lee; Yon Su Kim; Dongki Kim; Robert I. McKay (BICT, 2014)

Machine Learning Models and Statistical Measures for Predicting the Progression of IgA Nephropathy. - Junhyug Noh; Dharani Punithan; Hajeong Lee; Jungpyo Lee; Yon Su Kim; Dongki Kim; Robert Ian (Bob) McKay (Int. J. Softw. Eng. Knowl. Eng., 2015)

Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors. - Junhyug Noh; Soochan Lee; Beomsu Kim; Gunhee Kim (CVPR, 2018)

Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network. - Kangil Kim; Dong-Kyun Kim; Junhyug Noh; Minhyeok Kim 001 (IEEE Access, 2018)

Conflict Relaxation of Activation-Based Regularization for Neural Network. - Kangil Kim; Junhyug Noh; Dong-Kyun Kim; Minhyeok Kim 001 (IEEE Access, 2018)

Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection. - Junhyug Noh; Wonho Bae; Wonhee Lee; Jinhwan Seo; Gunhee Kim (ICCV, 2019)

Rethinking Class Activation Mapping for Weakly Supervised Object Localization. - Wonho Bae; Junhyug Noh; Gunhee Kim (ECCV (15), 2020)

LID 2020: The Learning from Imperfect Data Challenge Results. - Yunchao Wei; Shuai Zheng 001; Ming-Ming Cheng; Hang Zhao; Liwei Wang 001; Errui Ding; Yi Yang 001; Antonio Torralba 001; Ting Liu 012; Guolei Sun; Wenguan Wang; Luc Van Gool; et al. (CoRR, 2020)

What and When to Look?: Temporal Span Proposal Network for Video Visual Relation Detection. - Sangmin Woo; Junhyug Noh; Kangil Kim (CoRR, 2021)

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection. - Jinhwan Seo; Wonho Bae; Danica J. Sutherland; Junhyug Noh; Daijin Kim 001 (ECCV (31), 2022)

One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model. - Wonho Bae; Junhyug Noh; Milad Jalali Asadabadi; Danica J. Sutherland (IJCAI, 2022)

Towards Explainable Computer Vision Methods via Uncertainty Activation Map. - Seungyoun Shin; Wonho Bae; Junhyug Noh; Sungjoon Choi (ACPR (1), 2023)

Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator. - Seungyoun Shin; Joonhyung Lee; Junhyug Noh; Sungjoon Choi (ACPR (1), 2023)

Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions. - Sangmin Woo; Junhyug Noh; Kangil Kim (IEEE Trans. Neural Networks Learn. Syst., 2023)

Generalized Coverage for More Robust Low-Budget Active Learning. - Wonho Bae; Junhyug Noh; Danica J. Sutherland (ECCV (83), 2024)

Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation. - Youngmin Kim; Saejin Kim; Hoyeon Moon; Youngjae Yu; Junhyug Noh (CoRR, 2024)