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pro vyhledávání: '"Kim, Younghyun"'
Large-scale generative models, such as text-to-image diffusion models, have garnered widespread attention across diverse domains due to their creative and high-fidelity image generation. Nonetheless, existing large-scale diffusion models are confined
Externí odkaz:
http://arxiv.org/abs/2406.18459
Autor:
Kim, Younghyun
Cities, as epicenters of resource consumption and waste production, play a crucial role in spearheading the transition towards a circular economy, where waste is minimized and the lifecycle of resources is maximized. Fashion industry activities, in p
Autor:
Walendy, René, Weber, Markus, Li, Jingjie, Becker, Steffen, Wiesen, Carina, Elson, Malte, Kim, Younghyun, Fawaz, Kassem, Rummel, Nikol, Paar, Christof
Trust in digital systems depends on secure hardware, often assured through Hardware Reverse Engineering (HRE). This work develops methods for investigating human problem-solving processes in HRE, an underexplored yet critical aspect. Since reverse en
Externí odkaz:
http://arxiv.org/abs/2402.15452
The recent surge in large-scale foundation models has spurred the development of efficient methods for adapting these models to various downstream tasks. Low-rank adaptation methods, such as LoRA, have gained significant attention due to their outsta
Externí odkaz:
http://arxiv.org/abs/2309.06922
Autor:
Li, Jingjie, Arora, Sunpreet Singh, Fawaz, Kassem, Kim, Younghyun, Liu, Can, Meiser, Sebastian, Minaei, Mohsen, Shirvanian, Maliheh, Wagner, Kim
Users readily embrace the rapid advancements in virtual reality (VR) technology within various everyday contexts, such as gaming, social interactions, shopping, and commerce. In order to facilitate transactions and payments, VR systems require access
Externí odkaz:
http://arxiv.org/abs/2303.11575
Addressing biases in computer vision models is crucial for real-world AI deployments. However, mitigating visual biases is challenging due to their unexplainable nature, often identified indirectly through visualization or sample statistics, which ne
Externí odkaz:
http://arxiv.org/abs/2301.11104
Autor:
Roh, Wonseok, Chang, Gyusam, Moon, Seokha, Nam, Giljoo, Kim, Chanyoung, Kim, Younghyun, Kim, Jinkyu, Kim, Sangpil
Current multi-view 3D object detection methods often fail to detect objects in the overlap region properly, and the networks' understanding of the scene is often limited to that of a monocular detection network. Moreover, objects in the overlap regio
Externí odkaz:
http://arxiv.org/abs/2207.00865
Autor:
Kim, Younghyun1,2 (AUTHOR) kyh1927@kitech.re.kr, Hong, Sungbin3 (AUTHOR) njjo177@hshi.co.kr, Ha, Eulyong1 (AUTHOR) 23hey0302@kitech.re.kr, Park, Gyuhae2 (AUTHOR) gpark@jnu.ac.kr, Kim, Jaewoong1 (AUTHOR) gpark@jnu.ac.kr
Publikováno v:
Materials (1996-1944). Jun2024, Vol. 17 Issue 11, p2630. 19p.
Autor:
Kim, Younghyun
Publikováno v:
In Cities May 2024 148