Publications

2026

1. Ordering Matters: Rank-Aware Selective Fusion for Blended Emotion Recognition

   Junghyun Lee, Hyunseo Kim, Hanna Jang, and Junhyug Noh

   BlEmoRe Challenge at International Conference on Automatic Face and Gesture Recognition (FGW), 2026

   2nd Place Winner in Multimodal Blended Emotion Recognition

   Bib HTML

   @inproceedings{lee2026blemore,
     title = {Ordering Matters: Rank-Aware Selective Fusion for Blended Emotion Recognition},
     author = {Lee, Junghyun and Kim, Hyunseo and Jang, Hanna and Noh, Junhyug},
     booktitle = {BlEmoRe Challenge at International Conference on Automatic Face and Gesture Recognition (FGW)},
     note = {2nd Place Winner in Multimodal Blended Emotion Recognition},
     year = {2026}
   }

2. SIREN: Spatially-Informed Reconstruction of Binaural Audio with Vision

   Mingyeong Song^*, Seoyeon Ko^*, and Junhyug Noh

   International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026

   arXiv Bib HTML

   @article{song:2026:siren,
     title = {SIREN: Spatially-Informed Reconstruction of Binaural Audio with Vision},
     author = {Song<sup>*</sup>, Mingyeong and Ko<sup>*</sup>, Seoyeon and Noh, Junhyug},
     journal = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
     year = {2026}
   }

3. Explicit Time-Frequency Dynamics for Skeleton-Based Gait Recognition

   Seoyeon Ko, Yeojin Song, Egene Chung, Luca Quagliato, Taeyong Lee, and Junhyug Noh

   International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026

   arXiv Bib HTML

   @article{ko:2026:tfdgait,
     title = {Explicit Time-Frequency Dynamics for Skeleton-Based Gait Recognition},
     author = {Ko, Seoyeon and Song, Yeojin and Chung, Egene and Quagliato, Luca and Lee, Taeyong and Noh, Junhyug},
     journal = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
     year = {2026}
   }

4. Random Is Hard to Beat: Active Selection in Online DPO with Modern LLMs

   Giyeong Oh, Junghyun Lee, Jaehyun Park, Youngjae Yu, Wonho Bae^†, and Junhyug Noh^†

   I Can’t Believe It’s Not Better (ICBINB) Workshop at International Conference on Learning Representations (ICLRW), 2026

   arXiv Bib HTML Code

   @inproceedings{oh2026random,
     title = {Random Is Hard to Beat: Active Selection in Online DPO with Modern LLMs},
     author = {Oh, Giyeong and Lee, Junghyun and Park, Jaehyun and Yu, Youngjae and Bae<sup>†</sup>, Wonho and Noh<sup>†</sup>, Junhyug},
     booktitle = {I Can't Believe It's Not Better (ICBINB) Workshop at International Conference on Learning Representations (ICLRW)},
     year = {2026}
   }

5. Toward Robust Gait Identification: A Frequency Domain Approach in Varied Surveillance Environments

   Yeojin Song^*, Luca Quagliato^*, Sewon Jang, Egene Chung, Seoyeon Ko, Seoyeong Hwang, Junhyug Noh^†, and Taeyong Lee^†

   IEEE Access, 2026

   Bib HTML

   @article{song:2026:egaits,
     title = {Toward Robust Gait Identification: A Frequency Domain Approach in Varied Surveillance Environments},
     author = {Song<sup>*</sup>, Yeojin and Quagliato<sup>*</sup>, Luca and Jang, Sewon and Chung, Egene and Ko, Seoyeon and Hwang, Seoyeong and Noh<sup>†</sup>, Junhyug and Lee<sup>†</sup>, Taeyong},
     journal = {IEEE Access},
     year = {2026}
   }

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

   Sangmin Woo, Junhyug Noh, and Kangil Kim

   Expert Systems with Applications (ESWA), 2026

   arXiv Bib HTML

   @article{woo:2026:whatandwhen,
     title = {What and When to Look?: Temporal Span Proposal Network for Video Relation Detection},
     author = {Woo, Sangmin and Noh, Junhyug and Kim, Kangil},
     journal = {Expert Systems with Applications (ESWA)},
     year = {2026}
   }

2025

1. Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation

   Jeongin Kim, Wonho Bae, YouLee Han, Giyeong Oh, Youngjae Yu, Danica J. Sutherland, and Junhyug Noh

   Neural Information Processing Systems (NeurIPS), 2025

   arXiv Bib Code

   @article{kim:2025:diffusion_lbal,
     title = {Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation},
     author = {Kim, Jeongin and Bae, Wonho and Han, YouLee and Oh, Giyeong and Yu, Youngjae and Sutherland, Danica J. and Noh, Junhyug},
     journal = {Neural Information Processing Systems (NeurIPS)},
     year = {2025}
   }

2. Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation

   Jing Wang, Wonho Bae, Jiahong Chen, Wenxu Wang, and Junhyug Noh

   Neural Information Processing Systems (NeurIPS), 2025

   arXiv Bib Code

   @article{wang:2025:vicinity_diffusion,
     title = {Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation},
     author = {Wang, Jing and Bae, Wonho and Chen, Jiahong and Wang, Wenxu and Noh, Junhyug},
     journal = {Neural Information Processing Systems (NeurIPS)},
     year = {2025}
   }

3. Beyond Softmax: Dual-Branch Sigmoid Architecture for Accurate Class Activation Maps

   Yoojin Oh, and Junhyug Noh

   British Machine Vision Conference (BMVC), 2025

   arXiv Bib Code Website

   @article{oh:2025:beyondsoftmax,
     title = {Beyond Softmax: Dual-Branch Sigmoid Architecture for Accurate Class Activation Maps},
     author = {Oh, Yoojin and Noh, Junhyug},
     journal = {British Machine Vision Conference (BMVC)},
     year = {2025}
   }

4. Pinpointing Trigger Moment for Grounded Video QA: Enhancing Spatio-temporal Grounding in Multimodal Large Language Models

   Jinhwan Seo, Yoonki Cho, Junhyug Noh, and Sung-Eui Yoon

   Perception Test Challenge at International Conference on Computer Vision (ICCVW), 2025

   1st Place Winner in the GroundedVQA Track

   arXiv Bib HTML Certificate

   @inproceedings{seo2025groundedvqa,
     title = {Pinpointing Trigger Moment for Grounded Video QA: Enhancing Spatio-temporal Grounding in Multimodal Large Language Models},
     author = {Seo, Jinhwan and Cho, Yoonki and Noh, Junhyug and Yoon, Sung-Eui},
     booktitle = {Perception Test Challenge at International Conference on Computer Vision (ICCVW)},
     note = {1st Place Winner in the GroundedVQA Track},
     year = {2025},
   }

5. LYRICS: Line-by-Line Lyric Generation with Joint Control of Syllables, Context, and Rhyme

   Seoyeon Ko^*, Hyunseo Kim^*, Seoyeong Hwang^*, Jihyun Yu, Jeonghyun Kim, Hyunsoo Cho^†, and Junhyug Noh^†

   International Conference on Information and Communication Technology Convergence (ICTC), 2025

   Bib HTML

   @article{ko:2025:lyrics,
     title = {LYRICS: Line-by-Line Lyric Generation with Joint Control of Syllables, Context, and Rhyme},
     author = {Ko<sup>*</sup>, Seoyeon and Kim<sup>*</sup>, Hyunseo and Hwang<sup>*</sup>, Seoyeong and Yu, Jihyun and Kim, Jeonghyun and Cho<sup>†</sup>, Hyunsoo and Noh<sup>†</sup>, Junhyug},
     journal = {International Conference on Information and Communication Technology Convergence (ICTC)},
     year = {2025}
   }

6. Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

   Youngmin Kim^*, Saejin Kim^*, Hoyeon Moon, Youngjae Yu^†, and Junhyug Noh^†

   International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025

   arXiv Bib Code Website

   @article{kim:2025:scalpvision,
     title = {Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation},
     author = {Kim<sup>*</sup>, Youngmin and Kim<sup>*</sup>, Saejin and Moon, Hoyeon and Yu<sup>†</sup>, Youngjae and Noh<sup>†</sup>, Junhyug},
     journal = {International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
     year = {2025}
   }

7. Joint Object Detection and Sound Source Separation

   Sunyoo Kim, Yunjeong Choi, Doyeon Lee, Seoyoung Lee, Eunyi Lyou, Seungju Kim, Junhyug Noh^†, and Joonseok Lee^†

   International Society for Music Information Retrieval (ISMIR), 2025

   Bib HTML Code

   @article{kim:2025:s2h,
     title = {Joint Object Detection and Sound Source Separation},
     author = {Kim, Sunyoo and Choi, Yunjeong and Lee, Doyeon and Lee, Seoyoung and Lyou, Eunyi and Kim, Seungju and Noh<sup>†</sup>, Junhyug and Lee<sup>†</sup>, Joonseok},
     journal = {International Society for Music Information Retrieval (ISMIR)},
     year = {2025}
   }

8. SteeringTTA: Guiding Diffusion Trajectories for Robust Test-Time-Adaptation

   Jihyun Yu, Yoojin Oh, Wonho Bae, Mingyu Kim^†, and Junhyug Noh^†

   Putting Updates to the Test (PUT) Workshop at International Conference on Machine Learning (ICMLW), 2025

   arXiv Bib HTML PDF

   @article{yu:2025:steeringtta,
     title = {SteeringTTA: Guiding Diffusion Trajectories for Robust Test-Time-Adaptation},
     author = {Yu, Jihyun and Oh, Yoojin and Bae, Wonho and Kim<sup>†</sup>, Mingyu and Noh<sup>†</sup>, Junhyug},
     journal = {Putting Updates to the Test (PUT) Workshop at International Conference on Machine Learning (ICMLW)},
     year = {2025}
   }

9. Development of a Prediction Tool for Kidney Function Decline in Children With Chronic Kidney Disease

   Sangwoo Moon, Junhyug Noh, Hee Gyung Kang, Keum Hwa Lee, Jae Il Shin, Ji Yeon Song, Hee Sun Baek, Min Hyun Cho, Jiwon Jung, Joo Hoon Lee, Heeyeon Cho, Kyoung Hee Han, Eun Mi Yang, Seong Heon Kim, Ji Hyun Kim, Eujin Park^†, and Yo Han Ahn^†

   Kidney Research and Clinical Practice, 2025

   Bib HTML

   @article{moon:2025:kidney,
     title = {Development of a Prediction Tool for Kidney Function Decline in Children With Chronic Kidney Disease},
     author = {Moon, Sangwoo and Noh, Junhyug and Kang, Hee Gyung and Lee, Keum Hwa and Shin, Jae Il and Song, Ji Yeon and Baek, Hee Sun and Cho, Min Hyun and Jung, Jiwon and Lee, Joo Hoon and Cho, Heeyeon and Han, Kyoung Hee and Yang, Eun Mi and Kim, Seong Heon and Kim, Ji Hyun and Park<sup>†</sup>, Eujin and Ahn<sup>†</sup>, Yo Han},
     journal = {Kidney Research and Clinical Practice},
     year = {2025}
   }

10. Studying-Polymers-On a-Chip (SPOC): High-Throughput Screening of Polymers for Battery Applications

    Johanna Schwartz, Jayvic Jimenez, Michell Marufu, Micah Silverman, Santiago Tzintzun, Brian Au, Robert Cerda, Chelsea Igtanloc, Katherine Rivadeneira Velasco, Maged Elshatoury, Chloe Lau, Zeyuan Hu, Nishant Ojal, Marissa Wood, Yiran Xiao, Seongkoo Cho, Aldair Gongora, Junhyug Noh, Travis Massey, and Maxwell Marple

    Preprint, 2025

    Bib HTML

    @article{schwartz:2025:spoc,
      title = {Studying-Polymers-On a-Chip (SPOC): High-Throughput Screening of Polymers for Battery Applications},
      author = {Schwartz, Johanna and Jimenez, Jayvic and Marufu, Michell and Silverman, Micah and Tzintzun, Santiago and Au, Brian and Cerda, Robert and Igtanloc, Chelsea and Velasco, Katherine Rivadeneira and Elshatoury, Maged and Lau, Chloe and Hu, Zeyuan and Ojal, Nishant and Wood, Marissa and Xiao, Yiran and Cho, Seongkoo and Gongora, Aldair and Noh, Junhyug and Massey, Travis and Marple, Maxwell},
      journal = {Preprint},
      year = {2025}
    }

11. Novel Approach to the Relation of Multi-pollutant Effect and Kidney Dysfunction: Data Analysis from the Korean National Environmental Health Survey Cycle 3 (2015–2017)

    Inae Lee^*, Junhyug Noh^*, Yaerim Kim, Jung Nam An, Jae Yoon Park, Yong Chul Kim, Jeonghwan Lee, Jung Pyo Lee, Jong Soo Lee, Kyungho Choi^†, and Kyung Don Yoo^†

    Kidney Research and Clinical Practice, 2025

    Bib HTML

    @article{lee:2025:multipollutant,
      title = {Novel Approach to the Relation of Multi-pollutant Effect and Kidney Dysfunction: Data Analysis from the Korean National Environmental Health Survey Cycle 3 (2015–2017)},
      author = {Lee<sup>*</sup>, Inae and Noh<sup>*</sup>, Junhyug and Kim, Yaerim and An, Jung Nam and Park, Jae Yoon and Kim, Yong Chul and Lee, Jeonghwan and Lee, Jung Pyo and Lee, Jong Soo and Choi<sup>†</sup>, Kyungho and Yoo<sup>†</sup>, Kyung Don},
      journal = {Kidney Research and Clinical Practice},
      year = {2025}
    }

2024

1. Predicting Early Mortality in Hemodialysis Patients: A Deep Learning Approach using a Nationwide Prospective Cohort in South Korea

   Junhyug Noh, Sun Young Park, Wonho Bae, Kangil Kim, Jang-Hee Cho, Jong Soo Lee, Shin-Wook Kang, Yong-Lim Kim, Yon Su Kim, Chun Soo Lim, Jung Pyo Lee, and Kyung Don Yoo

   Scientific Reports, 2024

   Bib HTML

   @article{noh:2024:hd,
     title = {Predicting Early Mortality in Hemodialysis Patients: A Deep Learning Approach using a Nationwide Prospective Cohort in South Korea},
     author = {Noh, Junhyug and Park, Sun Young and Bae, Wonho and Kim, Kangil and Cho, Jang-Hee and Lee, Jong Soo and Kang, Shin-Wook and Kim, Yong-Lim and Kim, Yon Su and Lim, Chun Soo and Lee, Jung Pyo and Yoo, Kyung Don},
     journal = {Scientific Reports},
     year = {2024},
     publisher = {Nature Publishing Group UK London}
   }

2. Generalized Coverage for More Robust Low-Budget Active Learning

   Wonho Bae, Junhyug Noh, and Danica J. Sutherland

   European Conference on Computer Vision (ECCV), 2024

   arXiv Bib HTML Code

   @article{bae:2024:coverage,
     title = {Generalized Coverage for More Robust Low-Budget Active Learning},
     author = {Bae, Wonho and Noh, Junhyug and Sutherland, Danica J.},
     journal = {European Conference on Computer Vision (ECCV)},
     year = {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

   Bib

   @article{ho:2024:ivus,
     title = {Deep Learning-Based Intravascular Ultrasound Images Segmentation in Coronary Artery Disease: A Start Developing the Cornerstone},
     author = {Ho, Nghia Nguyen and Lee, Kwan Yong and Noh, Junhyug and Lee, Sang-Wook},
     journal = {Korean Circulation Journal},
     year = {2024}
   }

2023

1. Towards Explainable Computer Vision Methods via Uncertainty Activation Map

   Seungyoun Shin, Wonho Bae, Junhyug Noh, and Sungjoon Choi

   Asian Conference on Pattern Recognition (ACPR), 2023

   Bib HTML

   @article{shin:2023:uam,
     title = {Towards Explainable Computer Vision Methods via Uncertainty Activation Map},
     author = {Shin, Seungyoun and Bae, Wonho and Noh, Junhyug and Choi, Sungjoon},
     journal = {Asian Conference on Pattern Recognition (ACPR)},
     pages = {1--14},
     year = {2023},
     organization = {Springer},
   }

2. Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator

   Seungyoun Shin, Joonhyung Lee, Junhyug Noh, and Sungjoon Choi

   Asian Conference on Pattern Recognition (ACPR), 2023

   Bib HTML Website

   @article{shin:2023:elevator,
     title = {Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator},
     author = {Shin, Seungyoun and Lee, Joonhyung and Noh, Junhyug and Choi, Sungjoon},
     journal = {Asian Conference on Pattern Recognition (ACPR)},
     pages = {15--28},
     year = {2023},
     organization = {Springer},
   }

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

   Bib HTML

   @article{yoo:2023:crrt,
     title = {Predicting Outcomes of Continuous Renal Replacement Therapy Using Body Composition Monitoring: A Deep-Learning Approach},
     author = {Yoo<sup>*</sup>, Kyung Don and Noh<sup>*</sup>, Junhyug and Bae, Wonho and An, Jung Nam and Oh, Hyung Jung and Rhee, Harin and Seong, Eun Young and Baek, Seon Ha and Ahn, Shin Young and Cho, Jang-Hee and others},
     journal = {Scientific Reports},
     volume = {13},
     number = {1},
     pages = {4605},
     year = {2023},
     publisher = {Nature Publishing Group UK London},
   }

2022

1. Object Discovery via Contrastive Learning for Weakly Supervised Object Detection

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

   European Conference on Computer Vision (ECCV), 2022

   arXiv Bib HTML Code Website

   @article{seo:2022:wsod,
     title = {Object Discovery via Contrastive Learning for Weakly Supervised Object Detection},
     author = {Seo, Jinhwan and Bae, Wonho and Sutherland, Danica J. and Noh<sup>†</sup>, Junhyug and Kim<sup>†</sup>, Daijin},
     journal = {European Conference on Computer Vision (ECCV)},
     pages = {312--329},
     year = {2022},
     organization = {Springer},
   }

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

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

   International Joint Conference on Artificial Intelligence (IJCAI), 2022

   arXiv Bib

   @article{bae:2022:swsss,
     title = {One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model},
     author = {Bae, Wonho and Noh, Junhyug and Asadabadi, Milad Jalali and Sutherland, Danica J.},
     journal = {International Joint Conference on Artificial Intelligence (IJCAI)},
     pages = {2805--2811},
     year = {2022}
   }

3. Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions

   Sangmin Woo, Junhyug Noh, and Kangil Kim

   IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022

   arXiv Bib HTML Code

   @article{woo:2022:tackling,
     title = {Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions},
     author = {Woo, Sangmin and Noh, Junhyug and Kim, Kangil},
     journal = {IEEE Transactions on Neural Networks and Learning Systems (TNNLS)},
     year = {2022},
     publisher = {IEEE}
   }

2021

1. Revisiting Dropout: Escaping Pressure for Training Neural Networks with Multiple Costs

   Sangmin Woo, Kangil Kim, Junhyug Noh, Jong-Hun Shin, and Seung-Hoon Na

   Electronics, 2021

   Bib

   @article{woo:2021:revisiting,
     title = {Revisiting Dropout: Escaping Pressure for Training Neural Networks with Multiple Costs},
     author = {Woo, Sangmin and Kim, Kangil and Noh, Junhyug and Shin, Jong-Hun and Na, Seung-Hoon},
     journal = {Electronics},
     volume = {10},
     number = {9},
     pages = {989},
     year = {2021}
   }

2. Line Chart Understanding with Convolutional Neural Network

   Chanyoung Sohn, Heejong Choi, Kangil Kim, Jinwook Park, and Junhyug Noh

   Electronics, 2021

   Bib

   @article{sohn:2021:line,
     title = {Line Chart Understanding with Convolutional Neural Network},
     author = {Sohn, Chanyoung and Choi, Heejong and Kim, Kangil and Park, Jinwook and Noh, Junhyug},
     journal = {Electronics},
     volume = {10},
     number = {6},
     pages = {749},
     year = {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

   Bib HTML

   @article{choi:2020:recalibration,
     title = {Recalibration and Validation of the Charlson Comorbidity Index in an Asian Population: the National Health Insurance Service-National Sample Cohort Study},
     author = {Choi, Jae Shin and Kim, Myoung-Hee and Kim, Yong Chul and Lim, Youn-Hee and Bae, Hyun Joo and Kim, Dong Ki and Park, Jae Yoon and Noh, Junhyug and Lee, Jung Pyo},
     journal = {Scientific Reports},
     volume = {10},
     number = {1},
     pages = {13715},
     year = {2020},
     publisher = {Nature Publishing Group UK London},
   }

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

   Bib HTML

   @article{noh:2020:peritoneal,
     title = {Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea},
     author = {Noh<sup>*</sup>, Junhyug and Yoo<sup>*</sup>, Kyung Don and Bae, Wonho and Lee, Jong Soo and Kim, Kangil and Cho, Jang-Hee and Lee, Hajeong and Kim, Dong Ki and Lim, Chun Soo and Kang, Shin-Wook and others},
     journal = {Scientific reports},
     volume = {10},
     number = {1},
     pages = {7470},
     year = {2020},
     publisher = {Nature Publishing Group UK London},
   }

3. Rethinking Class Activation Mapping for Weakly Supervised Object Localization

   Wonho Bae^*, Junhyug Noh^*, and Gunhee Kim

   European Conference on Computer Vision (ECCV), 2020

   Bib HTML Code Website

   @article{bae:2020:rethinking,
     title = {Rethinking Class Activation Mapping for Weakly Supervised Object Localization},
     author = {Bae<sup>*</sup>, Wonho and Noh<sup>*</sup>, Junhyug and Kim, Gunhee},
     journal = {European Conference on Computer Vision (ECCV)},
     pages = {618--634},
     year = {2020},
   }

4. Revisiting Class Activation Mapping for Learning from Imperfect Data

   Wonho Bae^*, Junhyug Noh^*, Jinhwan Seo, and Gunhee Kim

   Learning from Imperfect Data (LID) Challenge at Conference on Computer Vision and Pattern Recognition (CVPRW), 2020

   1st Place Winner in Weakly-supervised Object Localization; 2nd Place Winner in Weakly-supervised Semantic Segmentation

   Bib HTML PDF Certificate

   @inproceedings{bae2020lid,
     title = {Revisiting Class Activation Mapping for Learning from Imperfect Data},
     author = {Bae<sup>*</sup>, Wonho and Noh<sup>*</sup>, Junhyug and Seo, Jinhwan and Kim, Gunhee},
     booktitle = {Learning from Imperfect Data (LID) Challenge at Conference on Computer Vision and Pattern Recognition (CVPRW)},
     note = {1st Place Winner in Weakly-supervised Object Localization; 2nd Place Winner in Weakly-supervised Semantic Segmentation},
     year = {2020},
   }

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

   Bib

   @article{kim:2018:stable,
     title = {Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network},
     author = {Kim, Kangil and Kim, Dong-Kyun and Noh, Junhyug and Kim, Minhyeok},
     journal = {IEEE Access},
     volume = {6},
     pages = {75216--75228},
     year = {2018},
     publisher = {IEEE}
   }

2. Conflict Relaxation of Activation-Based Regularization for Neural Network

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

   IEEE Access, 2018

   Bib

   @article{kim:2018:conflict,
     title = {Conflict Relaxation of Activation-Based Regularization for Neural Network},
     author = {Kim, Kangil and Noh, Junhyug and Kim, Dong-Kyun and Kim, Minhyeok},
     journal = {IEEE Access},
     volume = {6},
     pages = {52510--52518},
     year = {2018},
     publisher = {IEEE}
   }

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

   Junhyug Noh, Soochan Lee, Beomsu Kim, and Gunhee Kim

   IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

   Bib HTML PDF Website

   @article{noh:2018:improving,
     title = {Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors},
     author = {Noh, Junhyug and Lee, Soochan and Kim, Beomsu and Kim, Gunhee},
     journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
     pages = {966--974},
     year = {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

   Bib

   @article{yoo:2017:kidneytransplant,
     title = {A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study},
     author = {Yoo<sup>*</sup>, Kyung Don and Noh<sup>*</sup>, Junhyug and Lee, Hajeong and Kim, Dong Ki and Lim, Chun Soo and Kim, Young Hoon and Lee, Jung Pyo and Kim, Gunhee and Kim, Yon Su},
     journal = {Scientific reports},
     volume = {7},
     number = {1},
     pages = {8904},
     year = {2017},
     publisher = {Nature Publishing Group UK London}
   }

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 Noh, Gunhee Kim, Ho Kim, Jung Nam An, Jae Yoon Park, Hyunjeong Cho, Kyoung Hoon Kim, and  others

   Medicine, 2016

   Bib

   @article{yoo:2016:superior,
     title = {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},
     author = {Yoo, Kyung Don and Kim, Clara Tammy and Kim, Myoung-Hee and Noh, Junhyug and Kim, Gunhee and Kim, Ho and An, Jung Nam and Park, Jae Yoon and Cho, Hyunjeong and Kim, Kyoung Hoon and others},
     journal = {Medicine},
     volume = {95},
     number = {33},
     year = {2016},
     publisher = {Wolters Kluwer Health}
   }

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

   Bib

   @article{noh:2015:igan2,
     title = {Machine Learning Models and Statistical Measures for Predicting the Progression of IgA Nephropathy},
     author = {Noh, Junhyug and Punithan, Dharani and Lee, Hajeong and Lee, JungPyo and Kim, YonSu and Kim, DongKi and McKay, Robert Ian},
     journal = {International Journal of Software Engineering and Knowledge Engineering},
     volume = {25},
     number = {05},
     pages = {829--849},
     year = {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

   Bib

   @article{noh:2014:igan,
     title = {Predicting the Progression of IgA Nephropathy using Machine Learning Methods},
     author = {Noh, Junhyug and Punithan, Dharani and Lee, Hajeong and Lee, Jung Pyo and Kim, Yon Su and Kim, Dong Ki and McKay, Robert Ian},
     journal = {International Conference on Bioinspired Information and Communications Technologies},
     pages = {328--335},
     year = {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

   Bib

   @article{choe:2013:videoemotion,
     title = {Estimating Multiple Evoked Emotions from Videos},
     author = {Choe, Wonhee and Chun, Hyo-Sun and Noh, Junhyug and Lee, Seong-Deok and Zhang, Byoung-Tak},
     journal = {Annual Meeting of the Cognitive Science Society (CogSci)},
     volume = {35},
     number = {35},
     year = {2013}
   }