Zobrazeno 1 - 10
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pro vyhledávání: '"P Woo"'
Continual Imitation Learning (CiL) involves extracting and accumulating task knowledge from demonstrations across multiple stages and tasks to achieve a multi-task policy. With recent advancements in foundation models, there has been a growing intere
Externí odkaz:
http://arxiv.org/abs/2410.22658
Autor:
Woo, Soojin, Kim, Seong-Woo
In vision-based robot localization and SLAM, Visual Place Recognition (VPR) is essential. This paper addresses the problem of VPR, which involves accurately recognizing the location corresponding to a given query image. A popular approach to vision-b
Externí odkaz:
http://arxiv.org/abs/2410.19341
Transporting between arbitrary distributions is a fundamental goal in generative modeling. Recently proposed diffusion bridge models provide a potential solution, but they rely on a joint distribution that is difficult to obtain in practice. Furtherm
Externí odkaz:
http://arxiv.org/abs/2410.01500
Autor:
Kim, Chan, Kim, Keonwoo, Oh, Mintaek, Baek, Hanbi, Lee, Jiyang, Jung, Donghwi, Woo, Soojin, Woo, Younkyung, Tucker, John, Firoozi, Roya, Seo, Seung-Woo, Schwager, Mac, Kim, Seong-Woo
Large language models (LLMs) have shown significant potential in guiding embodied agents to execute language instructions across a range of tasks, including robotic manipulation and navigation. However, existing methods are primarily designed for sta
Externí odkaz:
http://arxiv.org/abs/2409.10027
Autor:
Cho, Woojin, Lee, Jihyun, Yi, Minjae, Kim, Minje, Woo, Taeyun, Kim, Donghwan, Ha, Taewook, Lee, Hyokeun, Ryu, Je-Hwan, Woo, Woontack, Kim, Tae-Kyun
Existing datasets for 3D hand-object interaction are limited either in the data cardinality, data variations in interaction scenarios, or the quality of annotations. In this work, we present a comprehensive new training dataset for hand-object intera
Externí odkaz:
http://arxiv.org/abs/2409.04033
In this paper we formulate the almost invariant subspaces theorems of backward shift operators in terms of the ranges or kernels of product of Toeplitz and Hankel operators. This approach simplifies and gives more explicit forms of these almost invar
Externí odkaz:
http://arxiv.org/abs/2411.13177
Domain generalizable person re-identification (DG re-ID) aims to learn discriminative representations that are robust to distributional shifts. While data augmentation is a straightforward solution to improve generalization, certain augmentations exh
Externí odkaz:
http://arxiv.org/abs/2411.11471
Autor:
Kwak, Heon-Gyu, Shin, Gi-Hwan, Choi, Yeon-Woo, Lee, Dong-Hoon, Jeon, Yoo-In, Kang, Jun-Su, Lee, Seong-Whan
In this paper, we propose a conceptual framework for personalized brain-computer interface (BCI) applications, which can offer an enhanced user experience by customizing services to individual preferences and needs, based on endogenous electroencepha
Externí odkaz:
http://arxiv.org/abs/2411.11302
Autor:
Harris, Isaac A., Husain, Sajid, Meisenheimer, Peter, Ramesh, Maya, Park, Hyeon Woo, Caretta, Lucas, Schlom, Darrell, Yao, Zhi, Martin, Lane W., Íñiguez-González, Jorge, Kim, Se Kwon, Ramesh, Ramamoorthy
Magnons carriers of spin information can be controlled by electric fields in the multiferroic BiFeO$_3$ (BFO), a milestone that brings magnons closer to application in future devices. The origin of magnon-spin currents in BFO, however, is not fully u
Externí odkaz:
http://arxiv.org/abs/2411.10903
Vibrometry-based side channels pose a significant privacy risk, exploiting sensors like mmWave radars, light sensors, and accelerometers to detect vibrations from sound sources or proximate objects, enabling speech eavesdropping. Despite various prop
Externí odkaz:
http://arxiv.org/abs/2411.10034