
I work as a senior AI researcher at ADD. Concurrently, I’m a PhD candidate at KAIST and a member of Visual Intelligence Lab., advised by Prof. Kuk-Jin Yoon.
The goal of my research is to develop trustworthy visual intelligence to enable safe and reliable model deployment in real-world applications. To achieve this, I work at the intersection of machine learning and computer vision. My current interests lie in representation learning, domain generalization, and adversarial robustness.
- Keywords: Machine Learning, Computer Vision, Trustworthy AI
News
Feb 26, 2025 | 📝 One paper accepted to CVPR 2025. |
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Aug 12, 2024 | ![]() |
Jul 1, 2024 | 📝 One paper accepted to ECCV 2024. |
Apr 29, 2024 | 📝 One paper accepted to CVPRW 2024. |
Dec 9, 2023 | 📝 One paper accepted to AAAI 2024. |
Aug 9, 2023 | 📝 One paper accepted to ICCVW 2023. |
Jul 18, 2023 | 📝 Two papers accepted to ICCV 2023. |
Mar 3, 2022 | 📝 One paper accepted to CVPR 2022. |
Dec 3, 2021 | ![]() |
Experience
Jan, 2020 - Present | Agency For Defense Development (ADD), Daejeon, South Korea Senior AI Researcher
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May, 2017 - Dec, 2019 | Agency For Defense Development (ADD), Daejeon, South Korea AI Researcher
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Feb, 2014 - May, 2017 | Agency For Defense Development (ADD), Daejeon, South Korea Specialized Research Staff (Military Service) |
Education
Sep, 2021 - Present | Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea PhD in Mechanical Engineering
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Feb, 2012 - Feb, 2014 | Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea MS in Mechanical Engineering
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Feb, 2011 - Aug, 2011 | Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia Exchange Student (High Distinction) |
Feb, 2007 - Feb, 2012 | Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea BS in Mechanical Engineering (Magna Cum Laude) |
Selected Publications
- Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the WildIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
- Prompt-Driven Contrastive Learning for Transferable Adversarial AttacksEuropean Conference on Computer Vision (ECCV), 2024Oral Presentation (top 2.3%)
- FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial AttacksAssociation for the Advancement of Artificial Intelligence (AAAI), 2024ICCV Workshop on Adversarial Robustness In the Real World (AROW), 2023
- PromptStyler: Prompt-driven Style Generation for Source-free Domain GeneralizationIEEE/CVF International Conference on Computer Vision (ICCV), 2023
- ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle EvasionIEEE/CVF International Conference on Computer Vision (ICCV), 2023
- DTA: Physical Camouflage Attacks Using Differentiable Transformation NetworkIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Honors and Awards
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Professional Services
Academic Reviewer
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