Zobrazeno 1 - 10
of 1 441
pro vyhledávání: '"Seunghyeon An"'
Autor:
Shin, Seunghyeon, Lee, Seokjin
The detection of anomalous sounds in machinery operation presents a significant challenge due to the difficulty in generalizing anomalous acoustic patterns. This task is typically approached as an unsupervised learning or novelty detection problem, g
Externí odkaz:
http://arxiv.org/abs/2410.21797
Autor:
Park, Seunghyeon, Rhee, Joon Hyo
The Global Positioning System (GPS), one of the Global Navigation Satellite Systems (GNSS), provides accurate position, navigation and time (PNT) information to various applications. One of the application that is highly receiving attention is satell
Externí odkaz:
http://arxiv.org/abs/2409.00594
Existing automated urban traffic management systems, designed to mitigate traffic congestion and reduce emissions in real time, face significant challenges in effectively adapting to rapidly evolving conditions. Predominantly reactive, these systems
Externí odkaz:
http://arxiv.org/abs/2408.06659
Autor:
Chul Chung, Suk-Jin Yoon, Seunghyun Park, Seunghyeon An, Junhyuk Son, Hyejeon Cho, Young-Wook Lee
Publikováno v:
The Astrophysical Journal, Vol 959, Iss 2, p 94 (2023)
It is well established that the Hubble residuals of Type Ia supernovae (SNe Ia) show the luminosity step with respect to their host galaxy stellar masses. This “mass step” is taken as an additional correction factor for the SN Ia luminosity stand
Externí odkaz:
https://doaj.org/article/f82019a949694bef933116e9c89ffff3
Multimodal and large language models (LLMs) have revolutionized the utilization of open-world knowledge, unlocking novel potentials across various tasks and applications. Among these domains, the video domain has notably benefited from their capabili
Externí odkaz:
http://arxiv.org/abs/2404.01745
In this paper, we propose a novel method for plane clustering specialized in cluttered scenes using an RGB-D camera and validate its effectiveness through robot grasping experiments. Unlike existing methods, which focus on large-scale indoor structur
Externí odkaz:
http://arxiv.org/abs/2403.12449
Recent advancements in the Neural Radiance Field (NeRF) have bolstered its capabilities for novel view synthesis, yet its reliance on dense multi-view training images poses a practical challenge. Addressing this, we propose HourglassNeRF, an effectiv
Externí odkaz:
http://arxiv.org/abs/2403.10906
Highway traffic crashes exert a considerable impact on both transportation systems and the economy. In this context, accurate and dependable emergency responses are crucial for effective traffic management. However, the influence of crashes on traffi
Externí odkaz:
http://arxiv.org/abs/2401.00781
Autor:
Cho, Woojin, Cho, Seunghyeon, Jin, Hyundong, Jeon, Jinsung, Lee, Kookjin, Hong, Sanghyun, Lee, Dongeun, Choi, Jonghyun, Park, Noseong
Neural ordinary differential equations (NODEs), one of the most influential works of the differential equation-based deep learning, are to continuously generalize residual networks and opened a new field. They are currently utilized for various downs
Externí odkaz:
http://arxiv.org/abs/2312.10274
Autor:
Kim, Gye-Hyeon, Park, Miju, Choi, Uksam, Kang, Baekjune, Seo, Uihyeon, Ji, GwangCheol, Noh, Seunghyeon, Cho, Deok-Yong, Yoo, Jung-Woo, Ok, Jong Mok, Sohn, Changhee
Recently, layered honeycomb cobaltates have been predicted as a new promising system for realizing the Kitaev quantum spin liquid, a many-body quantum entangled ground state characterized by fractional excitations. However, these cobaltates, similar
Externí odkaz:
http://arxiv.org/abs/2311.09609