Zobrazeno 1 - 10
of 50 647
pro vyhledávání: '"Sung-In Kim"'
Autor:
Sung-In Kim, Sung Min Kim, Sun Jae Park, Jihun Song, Jaewon Lee, Kyae Hyung Kim, Sang Min Park
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Parental depression is a significant problem that negatively affects parents’ welfare and influences family dynamics, children’s academic and health behaviors, and mental health. However, there is limited evidence regarding th
Externí odkaz:
https://doaj.org/article/bc3d2bae99564bde8587ac77f4e79aca
Autor:
Sung-In Kim, So-youn Jang, Taewan Kim, Bogoan Kim, Dayoung Jeong, Taehyung Noh, Mingon Jeong, Kaely Hall, Meelim Kim, Hee Jeong Yoo, Kyungsik Han, Hwajung Hong, Jennifer G Kim
Publikováno v:
JMIR Formative Research, Vol 8, p e52157 (2024)
BackgroundIndividuals with autism often experience heightened anxiety in workplace environments because of challenges in communication and sensory overload. As these experiences can result in negative self-image, promoting their self-efficacy in the
Externí odkaz:
https://doaj.org/article/8dddb7aa3ac94bbb951a6a18dd40309c
Autor:
Young-Hye Son, Gi-Ppeum Jeong, Pil-Su Kim, Man-Hyup Han, Seong-Wan Hong, Jae-Young Bae, Sung-In Kim, Jin-Hyung Park, Jea-Gun Park
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Face-centered-cubic crystallized super-fine (~ 2 nm in size) wet-ceria-abrasives are synthesized using a novel wet precipitation process that comprises a Ce4+ precursor, C3H4N2 catalyst, and NaOH titrant for a synthesized termination process
Externí odkaz:
https://doaj.org/article/3fb08806d82440e48508ac56b10314b3
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:
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
Despite the recent advances of the artificial intelligence, building social intelligence remains a challenge. Among social signals, laughter is one of the distinctive expressions that occurs during social interactions between humans. In this work, we
Externí odkaz:
http://arxiv.org/abs/2312.09818
Laughter is a unique expression, essential to affirmative social interactions of humans. Although current 3D talking head generation methods produce convincing verbal articulations, they often fail to capture the vitality and subtleties of laughter a
Externí odkaz:
http://arxiv.org/abs/2311.00994
We propose NeuFace, a 3D face mesh pseudo annotation method on videos via neural re-parameterized optimization. Despite the huge progress in 3D face reconstruction methods, generating reliable 3D face labels for in-the-wild dynamic videos remains cha
Externí odkaz:
http://arxiv.org/abs/2310.03205