Abstract Recently, semantic communications have drawn great attention as the groundbreaking concept surpasses the limited capacity of Shannon’s theory. Specifically, semantic communications probably become crucial in realizing visual... Read More
Sharing cutting-edge global technological trends, presenting research achievements, and fostering industry-academia collaboration, UNIST Graduate School of Artificial Intelligence hosted the ‘2025 UNIST AI Technology Open Workshop... Read More
Abstract Flat minima, known to enhance generalization and robustness in supervised learning, remain largely unexplored in generative models. In this work, we systematically investigate the role of loss surface flatness in generative models,... Read More
UNIST has been selected to participate in the ‘AI Star Fellowship‘ project, a key initiative supported by the Ministry of Science and ICT (MSIT) and the Institute for Info & communication Tech Planning & evaluation (IITP... Read More
Abstract Dynamic MRI reconstruction, one of inverse problems, has seen a surge by the use of deep learning techniques. Especially, the practical difficulty of obtaining ground truth data has led to the emergence of unsupervised learning app... Read More
Abstract Meta reinforcement learning aims to develop policies that generalize to unseen tasks sampled from a task distribution. While context-based meta-RL methods improve task representation using task latents, they often struggle with out... Read More
Abstract While prior methods in Continuous Spatial-Temporal Video Super-Resolution (C-STVSR) employ Implicit Neural Representation (INR) for continuous encoding, they often struggle to capture the complexity of video data, relying on simple... 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
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
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