Zobrazeno 1 - 10
of 974
pro vyhledávání: '"Kim, Doyeon"'
We present a new technique to identify associations of HI emission in the Magellanic Stream (MS) and ultraviolet (UV) absorbers from 92 QSO sight lines near the MS. We quantify the level of associations of individual HI elements to the main HI body o
Externí odkaz:
http://arxiv.org/abs/2402.08810
Publikováno v:
Monthly Notices of the Royal Astronomical Society, 2023
We characterize the kinematic and magnetic properties of HI filaments located in a high Galactic latitude region ($165^\circ < \alpha < 195^\circ$ and $12^\circ < \delta < 24^\circ$). We extract three-dimensional filamentary structures using \texttt{
Externí odkaz:
http://arxiv.org/abs/2309.10777
We introduce Multi-level feature Fusion-based Periodicity Analysis Model (MF-PAM), a novel deep learning-based pitch estimation model that accurately estimates pitch trajectory in noisy and reverberant acoustic environments. Our model leverages the p
Externí odkaz:
http://arxiv.org/abs/2306.09640
This paper introduces an end-to-end neural speech restoration model, HD-DEMUCS, demonstrating efficacy across multiple distortion environments. Unlike conventional approaches that employ cascading frameworks to remove undesirable noise first and then
Externí odkaz:
http://arxiv.org/abs/2306.01411
Autor:
Kim, Doyeon, Ko, Eunji, Kim, Hyunsu, Kim, Yunji, Kim, Junho, Min, Dongchan, Kim, Junmo, Hwang, Sung Ju
Portrait stylization, which translates a real human face image into an artistically stylized image, has attracted considerable interest and many prior works have shown impressive quality in recent years. However, despite their remarkable performances
Externí odkaz:
http://arxiv.org/abs/2305.19135
Recent studies show strong generative performance in domain translation especially by using transfer learning techniques on the unconditional generator. However, the control between different domain features using a single model is still challenging.
Externí odkaz:
http://arxiv.org/abs/2303.11545
Autor:
Zheng, Yong, Faerman, Yakov, Oppenheimer, Benjamin D., Putman, Mary E., McQuinn, Kristen B. W., Kirby, Evan N., Burchett, Joseph N., Telford, O. Grace, Werk, Jessica K., Kim, Doyeon A.
Dwarf galaxies are found to have lost most of their metals via feedback processes; however, there still lacks consistent assessment on the retention rate of metals in their circumgalactic medium (CGM). Here we investigate the metal content in the CGM
Externí odkaz:
http://arxiv.org/abs/2301.12233
Autor:
Stähler, Simon C., Mittelholz, Anna, Perrin, Clément, Kawamura, Taichi, Kim, Doyeon, Knapmeyer, Martin, Zenhäusern, Géraldine, Clinton, John, Giardini, Domenico, Lognonné, Philippe, Banerdt, W. Bruce
The InSight mission has measured Mars' seismicity since February 2018 and has allowed to investigate tectonics on another planet. Seismic data shows that most of the widely distributed surface faults are not seismically active, and that seismicity is
Externí odkaz:
http://arxiv.org/abs/2206.15136
In this paper, we propose a novel end-to-end user-defined keyword spotting method that utilizes linguistically corresponding patterns between speech and text sequences. Unlike previous approaches requiring speech keyword enrollment, our method compar
Externí odkaz:
http://arxiv.org/abs/2206.15400
Transfer learning of StyleGAN has recently shown great potential to solve diverse tasks, especially in domain translation. Previous methods utilized a source model by swapping or freezing weights during transfer learning, however, they have limitatio
Externí odkaz:
http://arxiv.org/abs/2204.14079