Two early-career researchers at UNIST have been selected for the prestigious ‘Post-Doc Growth-Oriented Research Support (name tentative)‘ program, jointly funded by the Ministry of Education and the National Research Foundation... Read More
Abstract Motivated by the efficiency of spherical harmonics (SH) in representing various physical phenomena, we propose a Holistic panoramic 3D scene Understanding framework using Spherical Harmonics, dubbed as HUSH. Our approach focuses on... Read More
On June 27, UNIST Industry Innovation Team held the opening ceremony for the start of new academic term for its ‘AI Novatus Academia’ at the Pioneers Campus, marking the commencement of a specialized program designed to cultivat... Read More
On June 24, UNIST held the ‘2025 Korea Industrial AI Joint Forum‘ at the Peace & Park Convention Center in Yongsan, Seoul, spotlighting cutting-edge AI advancements driving manufacturing innovation in Southeastern region of... Read More
Abstract Reconstructing 3Ds of hand-object interaction (HOI) is a fundamental problem that can find numerous applications. Despite recent advances, there is no comprehensive pipeline yet for bimanual class-agnostic interaction reconstructio... Read More
UNIST and the Korea Workers’ Compensation and Welfare Service (COMWEL) have joined forces to cultivate specialized talents in artificial intelligence (AI). On June 5, the two institutions signed a Memorandum of Understanding (MOU) at... Read More
Abstract Nickel-rich layered oxides (LiNixCoyMnzO2, NCM) are among the most promising cathode materials for high-energy lithium-ion batteries, offering high specific capacity and output voltage at a relatively low cost. However, industrial-... Read More
On May 21, UNIST held an appointment ceremony for Ji Young Lee, a distinguished social studies instructor, officially appointing her as a Collaborating Professor in the Graduate School of Artificial Intelligence. The three-year appointment... Read More
Abstract Learning with multiple modalities has recently demonstrated significant gains in many domains by maximizing the shared information across modalities. However, the current approaches strongly rely on high-quality paired datasets, wh... Read More
Abstract Investigating flat minima on loss surfaces in parameter space is well-documented in the supervised learning context, highlighting its advantages for model generalization. However, limited attention has been paid to the reinforcemen... Read More
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