Junhyug Noh

According to our database, Junhyug Noh authored at least 15 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2023

Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator.

Seungyoun Shin, Joonhyung Lee, Junhyug Noh, Sungjoon Choi

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

Towards Explainable Computer Vision Methods via Uncertainty Activation Map.

Seungyoun Shin, Wonho Bae, Junhyug Noh, Sungjoon Choi

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model.

Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection.

Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

What and When to Look?: Temporal Span Proposal Network for Video Visual Relation Detection.

Sangmin Woo, Junhyug Noh, Kangil Kim

CoRR, 2021

2020

LID 2020: The Learning from Imperfect Data Challenge Results.

Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

CoRR, 2020

Rethinking Class Activation Mapping for Weakly Supervised Object Localization.

Wonho Bae, Junhyug Noh, Gunhee Kim

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Conflict Relaxation of Activation-Based Regularization for Neural Network.

Kangil Kim, Junhyug Noh, Dong-Kyun Kim, Minhyeok Kim

IEEE Access, 2018

Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network.

Kangil Kim, Dong-Kyun Kim, Junhyug Noh, Minhyeok Kim

IEEE Access, 2018

Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors.

Junhyug Noh, Soochan Lee, Beomsu Kim, Gunhee Kim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2015

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

2014

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

Proceedings of the 8th International Conference on Bio-inspired Information and Communications Technologies, 2014

2013

Estimating Multiple Evoked Emotions from Videos.

Wonhee Choe, Hyo-Sun Chun, Junhyug Noh, Seong-Deok Lee, Byoung-Tak Zhang

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013