Zobrazeno 1 - 10
of 50 174
pro vyhledávání: '"Kim, Min A."'
Autor:
Li, Zhuofang, Kocielnik, Rafal, Linegar, Mitchell, Sambrano, Deshawn, Soltani, Fereshteh, Kim, Min, Naqvie, Nabiha, Cahill, Grant, Anandkumar, Animashree, Alvarez, R. Michael
Online competitive action games have flourished as a space for entertainment and social connections, yet they face challenges from a small percentage of players engaging in disruptive behaviors. This study delves into the under-explored realm of unde
Externí odkaz:
http://arxiv.org/abs/2411.01057
Autor:
Lee, Jaeseong, Kang, Taewoong, Bühler, Marcel C., Kim, Min-Jung, Hwang, Sungwon, Hyung, Junha, Jang, Hyojin, Choo, Jaegul
Recent advancements in head avatar rendering using Gaussian primitives have achieved significantly high-fidelity results. Although precise head geometry is crucial for applications like mesh reconstruction and relighting, current methods struggle to
Externí odkaz:
http://arxiv.org/abs/2410.11682
Autor:
Jang, Oh-Tae, Song, Hae-Kang, Kim, Min-Jun, Lee, Kyung-Hwan, Lee, Geon, Kim, Sung-Ho, Shin, Hee-Sub, Ok, Jae-Woo, Back, Min-Young, Yoon, Jae-Hyuk, Kim, Kyung-Tae
Recently, computer-aided design models and electromagnetic simulations have been used to augment synthetic aperture radar (SAR) data for deep learning. However, an automatic target recognition (ATR) model struggles with domain shift when using synthe
Externí odkaz:
http://arxiv.org/abs/2409.16845
Autor:
Park, Eunyoung, Jung, Chulho, Hwang, Junha, Shin, Jaeyong, Lee, Sung Yun, Lee, Heemin, Heo, Seung Phil, Nam, Daewoong, Kim, Sangsoo, Kim, Min Seok, Kim, Kyung Sook, Eom, In Tae, Noh, Do Young, Song, Changyong
Photoinduced ultrafast phenomena in materials exhibiting nonequilibrium behavior can lead to the emergence of exotic phases beyond the limits of thermodynamics, presenting opportunities for femtosecond photoexcitation. Despite extensive research, the
Externí odkaz:
http://arxiv.org/abs/2409.15877
Autor:
Lim, Chan-young, Kim, Min-Seok, Lim, Dong Cheol, Kim, Sunghun, Lee, Yeonghoon, Cha, Jaehoon, Lee, Gyubin, Song, Sang Yong, Thapa, Dinesh, Denlinger, Jonathan D., Kim, Seong-Gon, Kim, Sung Wng, Seo, Jungpil, Kim, Yeongkwan
Publikováno v:
Nat. Commun. 15 (2024) 5615
Two-dimensional electrides can acquire topologically non-trivial phases due to intriguing interplay between the cationic atomic layers and anionic electron layers. However, experimental evidence of topological surface states has yet to be verified. H
Externí odkaz:
http://arxiv.org/abs/2407.09153
Pose-driven human-image animation diffusion models have shown remarkable capabilities in realistic human video synthesis. Despite the promising results achieved by previous approaches, challenges persist in achieving temporally consistent animation a
Externí odkaz:
http://arxiv.org/abs/2407.09012
Autor:
Lee, Suyeon, Kim, Sunghwan, Kim, Minju, Kang, Dongjin, Yang, Dongil, Kim, Harim, Kang, Minseok, Jung, Dayi, Kim, Min Hee, Lee, Seungbeen, Chung, Kyoung-Mee, Yu, Youngjae, Lee, Dongha, Yeo, Jinyoung
Recently, the demand for psychological counseling has significantly increased as more individuals express concerns about their mental health. This surge has accelerated efforts to improve the accessibility of counseling by using large language models
Externí odkaz:
http://arxiv.org/abs/2407.03103
Neural rendering-based urban scene reconstruction methods commonly rely on images collected from driving vehicles with cameras facing and moving forward. Although these methods can successfully synthesize from views similar to training camera traject
Externí odkaz:
http://arxiv.org/abs/2407.02945
In this paper, we conduct a study to utilize LLMs as a solution for decision making that requires complex data analysis. We define Decision QA as the task of answering the best decision, $d_{best}$, for a decision-making question $Q$, business rules
Externí odkaz:
http://arxiv.org/abs/2406.12430
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