Zobrazeno 1 - 10
of 104 558
pro vyhledávání: '"Sung-In Kim"'
Autor:
Cavalcante, Everton
Publikováno v:
EPL,148(2024) 29001
This paper investigates the behavior of fermions in the vicinity of Sung-Won-Kim wormholes \cite{SW Kim PRD 1996} within the framework of a generalized Kaluza-Klein gravity. The study explores the geometric and quantum implications of introducing an
Externí odkaz:
http://arxiv.org/abs/2409.01300
Autor:
Anderson, James M., Grainger, David W.
Publikováno v:
In Journal of Controlled Release 10 February 2021 330:31-35
Following the success of Large Language Models (LLMs), expanding their boundaries to new modalities represents a significant paradigm shift in multimodal understanding. Human perception is inherently multimodal, relying not only on text but also on a
Externí odkaz:
http://arxiv.org/abs/2410.18325
Autor:
EunGi, Han, Hyun-Bin, Oh, Sung-Bin, Kim, Etcheberry, Corentin Nivelet, Nam, Suekyeong, Joo, Janghoon, Oh, Tae-Hyun
Speech-driven 3D facial animation has recently garnered attention due to its cost-effective usability in multimedia production. However, most current advances overlook the intelligibility of lip movements, limiting the realism of facial expressions.
Externí odkaz:
http://arxiv.org/abs/2407.01034
Autor:
Sung-Bin, Kim, Chae-Yeon, Lee, Son, Gihun, Hyun-Bin, Oh, Ju, Janghoon, Nam, Suekyeong, Oh, Tae-Hyun
Recent studies in speech-driven 3D talking head generation have achieved convincing results in verbal articulations. However, generating accurate lip-syncs degrades when applied to input speech in other languages, possibly due to the lack of datasets
Externí odkaz:
http://arxiv.org/abs/2406.14272
Autor:
Williams, Ruth
Publikováno v:
Tulsa Studies in Women's Literature, 2010 Oct 01. 29(2), 395-415.
Externí odkaz:
https://www.jstor.org/stable/41337285
Akademický článek
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Autor:
Ha, Hyunwoo, Hyun-Bin, Oh, Jun-Seong, Kim, Byung-Ki, Kwon, Sung-Bin, Kim, Tran, Linh-Tam, Kim, Ji-Yun, Bae, Sung-Ho, Oh, Tae-Hyun
Video motion magnification is a technique to capture and amplify subtle motion in a video that is invisible to the naked eye. The deep learning-based prior work successfully demonstrates the modelling of the motion magnification problem with outstand
Externí odkaz:
http://arxiv.org/abs/2403.01898
Autor:
Agov, Avram
Publikováno v:
Pacific Affairs, 2018 Dec 01. 91(4), 818-821.
Externí odkaz:
https://www.jstor.org/stable/44874911