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
Abstract Despite recent advancements in federated learning (FL), the integration of generative models into FL has been limited due to challenges such as high communication costs and unstable training in heterogeneous data environments. To a... Read More
Abstract Significant advancements have been achieved in the realm of understanding poses and interactions of two hands manipulating an object. The emergence of augmented reality (AR) and virtual reality (VR) technologies has heightened the... Read More
Abstract We present a lighting-aware image editing pipeline that, given a portrait image and a text prompt, performs single image relighting. Our model modifies the lighting and color of both the foreground and background to align with the... Read More
Abstract Constraint-based offline reinforcement learning (RL) involves policy constraints or imposing penalties on the value function to mitigate overestimation errors caused by distributional shift. This paper focuses on a limitation in ex... Read More
Dean Jae-Young Sim of the UNIST Graduate School of Artificial Intelligence (AIGS) has been honored with a commendation from the Minister of Science and ICT (MSIT) for his significant contributions to the development of the AI field by culti... Read More
Yonghun Lee, a student in Professor Jimin Lee’s Laboratory (UNIST Artificial Intelligence Graduate School and Department of Nuclear Engineering), has been honored with the Paul Dudley White International Scholar Award at the American... Read More
The Department of Industrial Engineering at UNIST has been selected for the Industrial Innovation Talent Growth Support Project (Overseas), organized by the Korea Institute for Advancement of Technology (KIAT). This initiative aims to overc... Read More
The ability to predict the feasibility of manufacturing parts significantly enhances production efficiency and reduces costs in the manufacturing industry. Leveraging this technology, the laboratory of the Department of Industrial Engineeri... Read More
A research team, led by Professor Seungryul Baek at the Graduate School of Artificial Intelligence, UNIST, has achieved remarkable success in the HANDS workshop challenge, held in conjunction with the 2024 European Conference on Computer Vi... Read More
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