Hong Joo Lee

Orcid: 0000-0001-6626-5683

Affiliations:

Technical University of Munich, Germany
Korea Advanced Institute of Science and Technology, Republic of Korea (former)

According to our database¹, Hong Joo Lee authored at least 33 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming.

[BibT_eX]

[DOI]

CoRR, May, 2026

From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, April, 2026

Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2026

Unsupervised domain adaptation for medical image segmentation using adaptogen-perturbation.

[BibT_eX]

[DOI]

Medical Image Anal., 2026

Where It Moves, It Matters: Referring Surgical Instrument Segmentation via Motion.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Leveraging Textual Compositional Reasoning for Robust Change Captioning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, March, 2025

Understanding adversarial robustness of deep neural networks via decision reliance.

[BibT_eX]

[DOI]

Image Vis. Comput., 2025

PRADA: Protecting and Detecting Dataset Abuse for Open-Source Medical Dataset.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Advancing Adversarial Training by Injecting Booster Signal.

[BibT_eX]

[DOI]

Hong Joo Lee

Youngjoon Yu

Yong Man Ro

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Ultrasound segmentation analysis via distinct and completed anatomical borders.

[BibT_eX]

[DOI]

Vanessa Gonzalez Duque

Int. J. Comput. Assist. Radiol. Surg., July, 2024

Defending Video Recognition Model Against Adversarial Perturbations via Defense Patterns.

[BibT_eX]

[DOI]

Hong Joo Lee

Yong Man Ro

IEEE Trans. Dependable Secur. Comput., 2024

Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality.

[BibT_eX]

[DOI]

Kyu Ri Park

Hong Joo Lee

Jung Uk Kim

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning.

[BibT_eX]

[DOI]

Hong Joo Lee

Yong Man Ro

IEEE Trans. Inf. Forensics Secur., 2023

2022

Defending Person Detection Against Adversarial Patch Attack by Using Universal Defensive Frame.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Defending Against Person Hiding Adversarial Patch Attack with a Universal White Frame.

[BibT_eX]

[DOI]

CoRR, 2022

Map: Multispectral Adversarial Patch to Attack Person Detection.

[BibT_eX]

[DOI]

Taeheon Kim

Hong Joo Lee

Yong Man Ro

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Adversarially Robust Hyperspectral Image Classification via Random Spectral Sampling and Spectral Shape Encoding.

[BibT_eX]

[DOI]

Sungjune Park

Hong Joo Lee

Yong Man Ro

IEEE Access, 2021

Adversarially Robust Multi-Sensor Fusion Model Training Via Random Feature Fusion For Semantic Segmentation.

[BibT_eX]

[DOI]

Hong Joo Lee

Yong Man Ro

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Lightweight and Effective Facial Landmark Detection using Adversarial Learning with Face Geometric Map Generative Network.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Face Tells Detailed Expression: Generating Comprehensive Facial Expression Sentence Through Facial Action Units.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Unsupervised Disentangling of Viewpoint and Residues Variations by Substituting Representations for Robust Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Robust Video Facial Authentication With Unsupervised Mode Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Learning Style Correlation for Elaborate Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Fake Video Detection With Certainty-Based Attention Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound image.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018

Teacher and Student Joint Learning for Compact Facial Landmark Detection Network.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

Hong Joo Lee

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