I am a Ph.D. student at POSTECH where I am advised by Prof. Minsu Cho and a member of the Computer Vision Lab. Previously, I completed my M.S. in Artificial Intelligence and B.S. in Mechanical Engineering at POSTECH.
My research lies in machine learning and computer vision including, but not limited to, 3D scene understanding and reconstruction. I am particularly interested in 3D perception on point clouds for applications in AR/VR and robotics.
If you are interested in my research projects, please feel free to contact me.
|Apr 25, 2023||A paper about equivariant learning is accepted to ICML 2023.|
|Feb 27, 2023||I won the grand prize at BK21 Best Paper Award from POSTECH GSAI.|
|Nov 7, 2022||I won the Qualcomm Innovation Fellowship 2022.|
|Oct 22, 2022||A workshop paper about equivariant learning is accepted to NeurIPS 2022 Workshop - NeurReps.|
|Oct 19, 2022||Open3D 0.16 is released with my contribution to the NearestNeighborSearch module.|
* indicates equal contribution.
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual LearningInternational Conference on Machine Learning (ICML), 2023
SeLCA: Self-Supervised Learning of Canonical AxisNeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022
PointMixer: MLP-Mixer for Point Cloud UnderstandingEuropean Conference on Computer Vision (ECCV), 2022
Fast Point TransformerIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022Silver Prize @ Samsung HumanTech Paper Award
Qualcomm Innovation Fellowship Winner
Honors and Awards