I graduated from UNIST with a B.S. in Computer Science and Engineering and a minor in Mathematical Sciences! I was honored to receive the Summa Cum Laude distinction and the Deputy Prime Minister and Minister of Science and ICT Award.
I was fortunate enough to learn and experience so much with such wonderful professors, colleagues, and friends, and I am sincerely grateful for every moment 🥰.
I have organized the key concepts and recent advancements in Hand-Object reconstruction. [PDF]
This report reviews the evolution of 3D reconstruction in Hand-Object Interaction (HOI), specifically the shift from category-specific priors to generalized, category-agnostic solutions. It covers the essential theoretical foundations and analyzes representative frameworks like HOLD and BIGS, aiming to recover both geometry and appearance from visual observations.
Our paper, BIGS: Bimanual Category-agnostic Interaction Reconstruction from Monocular Videos via 3D Gaussian Splatting, has been accepted to CVPR 2025! [Paper][Code]
This paper presents a method for reconstructing bimanual object interactions from monocular videos. We propose a category-agnostic approach using 3D Gaussian Splatting to model both hands and objects without relying on prior object templates.
I have been awarded the National Excellence Scholarship (STEM)!
This scholarship is designed to identify and support outstanding talent in STEM fields by selecting exceptional students with the potential to become key experts.
Our team won 1st place at the 8th HANDS workshop challenge - ARCTIC track! [Technical Report]
This challenge targets bimanual category-agnostic reconstruction, avoiding reliance on pre-scanned object templates. It tackles the difficulties of natural two-hand manipulation, including severe occlusions and dynamic contacts, using the ARCTIC dataset.