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IVYLab & IVLLab
IVYLab & IVLLab
LLM Multimodal Highlights
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IVYLab & IVLLab
IVYLab & IVLLab
LLM Multimodal Highlights
People
Professor
Members
Research Collaborators
Alumni
Research
Lab Overview
Research Fields
Research Demo
Publications
International Conference
International Journal
International Standards
Patents
Domestic Papers
Gallery
Board
Contact
Database
More
IVYLab & IVLLab
LLM Multimodal Highlights
People
Professor
Members
Research Collaborators
Alumni
Research
Lab Overview
Research Fields
Research Demo
Publications
International Conference
International Journal
International Standards
Patents
Domestic Papers
Gallery
Board
Contact
Database
International Journal
2024
2023
2022
2021
2020
2019
~ 2018
[#151]
Defending Video Recognition Model against Adversarial Perturbations via Defense Patterns
Hong Joo Lee and Yong Man Ro
IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 04, pp. 4110-4121, 2024.
[#150]
Enabling Visual Object Detection with Object Sounds via Visual Modality Recalling Memory
Jung Uk Kim and Yong Man Ro
IEEE Transactions on Neural Networks and Learning Systems, pp. 1-13, 2023.
[#1
49
]
Adversarial anchor-guided feature refinement for adversarial defense
Hakmin Lee and Yong Man Ro
Image and Vision Computing, vol. 136, pp. 104722, 2023.
[#14
8
]
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Hong Joo Lee and Yong Man Ro
IEEE Transactions on Information Forensics & Security, vol. 18, pp. 4021-4033, 2023
[#14
7
]
Deep learning-based classification system of bacterial keratitis and fungal keratitis using anterior segment images
Yeo Kyoung Won*, Hyebin Lee*, Youngjun Kim, Gyule Han, Tae-Young Chung, Yong Man Ro and Dong Hui Lim (* equal contributor)
Frontiers in Medicine, vol. 10, pp. 1162124, 2023.
[#14
6
]
Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection
Jung Uk Kim, Hyung-Il Kim, and Yong Man Ro
IEEE Transactions on Image Processing, vol. 32, pp. 2749-2760, 2023.
[#14
5
]
Advancing Adversarial Training by Injecting Booster Signal
Hong Joo Lee, Youngjoon Yu, and Yong Man Ro
IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 9, pp. 12665-12677, Sept. 2024
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