
I am a 1st-year Ph.D. student in Computer Science at Cornell University, conducting my research at the Cornell Tech campus in New York City. I earned my bachelor’s degree with highest honors from POSTECH, where I worked with Prof. Suha Kwak and Prof. Tae-Hyun Oh. During my undergraduate, I also studied at Stanford, UIUC and UC Berkeley.
My research focuses on computer vision and machine learning, aiming to build intelligent agents that can perceive, reason about, and interact with our dynamic 3D world. In particular, I am interested in 3D/4D reconstruction and generation. I have published first-authored papers at CVPR, ECCV and ICCV, and been recognized as an outstanding reviewer at CVPR 2025 and ICCV 2023. I am grateful to be supported by Cornell Fellowship and KFAS Fellowship.
News
06/2025 | I am selected as an outstanding reviewer (top 5.64%) at CVPR 2025. |
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02/2025 | Our paper on 3D shape reconstruction, ZeroShape-W, is accepted to CVPR 2025. |
10/2023 | I am selected as an outstanding reviewer (top 1.89%) at ICCV 2023. |
07/2023 | Our paper on domain generalization, PromptStyler, is accepted to ICCV 2023. |
07/2022 | Our paper on 3D human reconstruction, FastMETRO, is accepted to ECCV 2022. |
03/2022 | Our paper on situation recognition, CoFormer, is accepted to CVPR 2022. |
01/2022 | I won the best research project award from POSTECH CSE. |
10/2021 | Our paper on situation recognition, GSRTR, is accepted to BMVC 2021. |
01/2021 | I won the minister’s award from Ministry of Science and ICT. |
Selected Publications
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Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the WildIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
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PromptStyler: Prompt-driven Style Generation for Source-free Domain GeneralizationIEEE/CVF International Conference on Computer Vision (ICCV), 2023
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Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersEuropean Conference on Computer Vision (ECCV), 2022
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Collaborative Transformers for Grounded Situation RecognitionIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Honors and Awards
CVPR Outstanding Reviewer (2025), IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Professional Services
Conference Reviewer
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