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 24 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Advancing Adversarial Training by Injecting Booster Signal.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Ultrasound segmentation analysis via distinct and completed anatomical borders.
Int. J. Comput. Assist. Radiol. Surg., July, 2024

Defending Video Recognition Model Against Adversarial Perturbations via Defense Patterns.
IEEE Trans. Dependable Secur. Comput., 2024

Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality.
CoRR, 2024

2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning.
IEEE Trans. Inf. Forensics Secur., 2023

2022
Defending Person Detection Against Adversarial Patch Attack by Using Universal Defensive Frame.
IEEE Trans. Image Process., 2022

Defending Against Person Hiding Adversarial Patch Attack with a Universal White Frame.
CoRR, 2022

Map: Multispectral Adversarial Patch to Attack Person Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2021

Adversarially Robust Hyperspectral Image Classification via Random Spectral Sampling and Spectral Shape Encoding.
IEEE Access, 2021

Adversarially Robust Multi-Sensor Fusion Model Training Via Random Feature Fusion For Semantic Segmentation.
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.
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.
IEEE Trans. Circuits Syst. Video Technol., 2020

Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning.
CoRR, 2020

Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation.
CoRR, 2020

Face Tells Detailed Expression: Generating Comprehensive Facial Expression Sentence Through Facial Action Units.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Unsupervised Disentangling of Viewpoint and Residues Variations by Substituting Representations for Robust Face Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Robust Video Facial Authentication With Unsupervised Mode Disentanglement.
Proceedings of the IEEE International Conference on Image Processing, 2020

Learning Style Correlation for Elaborate Few-Shot Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

Fake Video Detection With Certainty-Based Attention Network.
Proceedings of the IEEE International Conference on Image Processing, 2020

Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary.
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.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound image.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018
Teacher and Student Joint Learning for Compact Facial Landmark Detection Network.
Proceedings of the MultiMedia Modeling - 24th International Conference, 2018


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