Zobrazeno 1 - 10
of 1 632
pro vyhledávání: '"An, Junhyeok"'
Autor:
Lee, Junhyeok, Oh, Yujin, Lee, Dahyoun, Joh, Hyon Keun, Sohn, Chul-Ho, Baik, Sung Hyun, Jung, Cheol Kyu, Park, Jung Hyun, Choi, Kyu Sung, Kim, Byung-Hoon, Ye, Jong Chul
Acute ischemic stroke (AIS) requires time-critical management, with hours of delayed intervention leading to an irreversible disability of the patient. Since diffusion weighted imaging (DWI) using the magnetic resonance image (MRI) plays a crucial ro
Externí odkaz:
http://arxiv.org/abs/2411.15490
Autor:
Kim, KiHwan, Chung, Hyunsun, Ahn, Seonghoon, Park, Junhyeok, Jamil, Safdar, Byun, Hongsu, Lee, Myungcheol, Choi, Jinchun, Kim, Youngjae
Log-Structured Merge (LSM) tree-based Key-Value Stores (KVSs) are widely adopted for their high performance in write-intensive environments, but they often face performance degradation due to write stalls during compaction. Prior solutions, such as r
Externí odkaz:
http://arxiv.org/abs/2410.21760
Autor:
Lee, Junhyeok, Kim, Hyeongju
Monotonic alignment search (MAS), introduced by Glow-TTS, is one of the most popular algorithm in TTS to estimate unknown alignments between text and speech. Since this algorithm needs to search for the most probable alignment with dynamic programmin
Externí odkaz:
http://arxiv.org/abs/2409.07704
Text-to-Speech (TTS) models have advanced significantly, aiming to accurately replicate human speech's diversity, including unique speaker identities and linguistic nuances. Despite these advancements, achieving an optimal balance between speaker-fid
Externí odkaz:
http://arxiv.org/abs/2408.14423
Autor:
Huh, SeungJung, Yun, Wooyoung, Yun, Gabin, Hwang, Samgyu, Kwon, Kiryang, Hur, Junhyeok, Lee, Seungho, Takeuchi, Hiromitsu, Kim, Se Kwon, Choi, Jae-yoon
Topology profoundly influences diverse fields of science, providing a powerful framework for classifying phases of matter and predicting nontrivial excitations, such as solitons, vortices, and skyrmions. These topological defects are typically charac
Externí odkaz:
http://arxiv.org/abs/2408.11217
Non-autoregressive GAN-based neural vocoders are widely used due to their fast inference speed and high perceptual quality. However, they often suffer from audible artifacts such as tonal artifacts in their generated results. Therefore, we propose Je
Externí odkaz:
http://arxiv.org/abs/2406.06111
Autor:
Ahn, Jinwoo, Park, Junhyeok, Kim, Min-Jun, Kim, Kang-Hyeon, Sohn, So-Yeong, Lee, Yun-Ji, Chang, Du-Seong, Heo, Yu-Jung, Kim, Eun-Sol
In this paper, the solution of HYU MLLAB KT Team to the Multimodal Algorithmic Reasoning Task: SMART-101 CVPR 2024 Challenge is presented. Beyond conventional visual question-answering problems, the SMART-101 challenge aims to achieve human-level mul
Externí odkaz:
http://arxiv.org/abs/2406.05963
Frequency dynamic convolution (FDY conv) has shown the state-of-the-art performance in sound event detection (SED) using frequency-adaptive kernels obtained by frequency-varying combination of basis kernels. However, FDY conv lacks an explicit mean t
Externí odkaz:
http://arxiv.org/abs/2406.05341
We address the challenge of multi-agent cooperation, where agents achieve a common goal by cooperating with decentralized agents under complex partial observations. Existing cooperative agent systems often struggle with efficiently processing continu
Externí odkaz:
http://arxiv.org/abs/2405.16751
Autor:
Choi, Won Beom, Son, Youngoh, Park, Hangyeol, Jeong, Yungi, Oh, Junhyeok, Watanabe, K., Taniguchi, T., Jang, Joonho
Publikováno v:
Appl. Phys. Lett. 125, 033503 (2024)
Graphene provides a unique platform for hosting high quality 2D electron systems. Encapsulating graphene with hexagonal boron nitride (hBN) to shield it from noisy environments offers the potential to achieve ultrahigh performance nanodevices, such a
Externí odkaz:
http://arxiv.org/abs/2405.06267