Zobrazeno 1 - 10
of 2 765
pro vyhledávání: '"Lee Seung Hyun"'
Autor:
Lee, Seung Hyun, Ke, Junjie, Li, Yinxiao, He, Junfeng, Hickson, Steven, Datsenko, Katie, Kim, Sangpil, Yang, Ming-Hsuan, Essa, Irfan, Yang, Feng
The goal of image cropping is to identify visually appealing crops within an image. Conventional methods rely on specialized architectures trained on specific datasets, which struggle to be adapted to new requirements. Recent breakthroughs in large v
Externí odkaz:
http://arxiv.org/abs/2408.07790
Autor:
Lee, Seung Hyun, Li, Yinxiao, Ke, Junjie, Yoo, Innfarn, Zhang, Han, Yu, Jiahui, Wang, Qifei, Deng, Fei, Entis, Glenn, He, Junfeng, Li, Gang, Kim, Sangpil, Essa, Irfan, Yang, Feng
Recent works have demonstrated that using reinforcement learning (RL) with multiple quality rewards can improve the quality of generated images in text-to-image (T2I) generation. However, manually adjusting reward weights poses challenges and may cau
Externí odkaz:
http://arxiv.org/abs/2401.05675
Autor:
Psychogyios, Dimitrios, Colleoni, Emanuele, Van Amsterdam, Beatrice, Li, Chih-Yang, Huang, Shu-Yu, Li, Yuchong, Jia, Fucang, Zou, Baosheng, Wang, Guotai, Liu, Yang, Boels, Maxence, Huo, Jiayu, Sparks, Rachel, Dasgupta, Prokar, Granados, Alejandro, Ourselin, Sebastien, Xu, Mengya, Wang, An, Wu, Yanan, Bai, Long, Ren, Hongliang, Yamada, Atsushi, Harai, Yuriko, Ishikawa, Yuto, Hayashi, Kazuyuki, Simoens, Jente, DeBacker, Pieter, Cisternino, Francesco, Furnari, Gabriele, Mottrie, Alex, Ferraguti, Federica, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Kim, Soohee, Lee, Seung Hyun, Lee, Kyu Eun, Kong, Hyoun-Joong, Fu, Kui, Li, Chao, An, Shan, Krell, Stefanie, Bodenstedt, Sebastian, Ayobi, Nicolas, Perez, Alejandra, Rodriguez, Santiago, Puentes, Juanita, Arbelaez, Pablo, Mohareri, Omid, Stoyanov, Danail
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to decision support systems. Nowadays, learning-based action recognition an
Externí odkaz:
http://arxiv.org/abs/2401.00496
Autor:
Lee, Seung Hyun, Kim, Sieun, Yoo, Innfarn, Yang, Feng, Cho, Donghyeon, Kim, Youngseo, Chang, Huiwen, Kim, Jinkyu, Kim, Sangpil
We propose a method for adding sound-guided visual effects to specific regions of videos with a zero-shot setting. Animating the appearance of the visual effect is challenging because each frame of the edited video should have visual changes while ma
Externí odkaz:
http://arxiv.org/abs/2304.06818
Autor:
Park, Jeongkyun, Hwang, Jung-Wook, Choi, Kwanghee, Lee, Seung-Hyun, Ahn, Jun Hwan, Park, Rae-Hong, Park, Hyung-Min
Inspired by humans comprehending speech in a multi-modal manner, various audio-visual datasets have been constructed. However, most existing datasets focus on English, induce dependencies with various prediction models during dataset preparation, and
Externí odkaz:
http://arxiv.org/abs/2301.06375
Autor:
Jang, Yunseok1 (AUTHOR) yjang@kimm.re.kr, Lee, Seung-Hyun1 (AUTHOR), Lee, Youn-Ki1 (AUTHOR), Kim, Inyoung1 (AUTHOR), Lee, Taik-Min1 (AUTHOR), Kwon, Sin1 (AUTHOR), Kang, Boseok2 (AUTHOR) yjang@kimm.re.kr
Publikováno v:
Polymers (20734360). Nov2024, Vol. 16 Issue 21, p3075. 9p.
We present a novel framework, Localized Image Stylization with Audio (LISA) which performs audio-driven localized image stylization. Sound often provides information about the specific context of the scene and is closely related to a certain part of
Externí odkaz:
http://arxiv.org/abs/2211.11381
Recent successes suggest that an image can be manipulated by a text prompt, e.g., a landscape scene on a sunny day is manipulated into the same scene on a rainy day driven by a text input "raining". These approaches often utilize a StyleCLIP-based im
Externí odkaz:
http://arxiv.org/abs/2208.14114
Autor:
Kim, Dong Shin1 (AUTHOR) dkim@ung.edu, Lee, Seung-Hyun2 (AUTHOR) lee.1085@utdallas.edu
Publikováno v:
Asia Pacific Journal of Management. Dec2024, Vol. 41 Issue 4, p2119-2153. 35p.
Autor:
Lee, Seung Hyun, Oh, Gyeongrok, Byeon, Wonmin, Kim, Chanyoung, Ryoo, Won Jeong, Yoon, Sang Ho, Cho, Hyunjun, Bae, Jihyun, Kim, Jinkyu, Kim, Sangpil
The recent success in StyleGAN demonstrates that pre-trained StyleGAN latent space is useful for realistic video generation. However, the generated motion in the video is usually not semantically meaningful due to the difficulty of determining the di
Externí odkaz:
http://arxiv.org/abs/2204.09273