Zobrazeno 1 - 10
of 5 053
pro vyhledávání: '"In Jae Myung"'
While text-to-image diffusion models have been shown to achieve state-of-the-art results in image synthesis, they have yet to prove their effectiveness in downstream applications. Previous work has proposed to generate data for image classifier train
Externí odkaz:
http://arxiv.org/abs/2407.10910
Concept Bottleneck Models (CBMs) ground image classification on human-understandable concepts to allow for interpretable model decisions. Crucially, the CBM design inherently allows for human interventions, in which expert users are given the ability
Externí odkaz:
http://arxiv.org/abs/2405.01531
Autor:
Eunguk Shin, Hee-Tae Kim, Haksoo Lee, Byeongsoo Kim, Junhyeong Park, Sujin Park, Soomin Yum, Seul-Kee Kim, Jae-Myung Lee, BuHyun Youn
Publikováno v:
Animal Cells and Systems, Vol 28, Iss 1, Pp 428-438 (2024)
Burn injuries, affecting local skin disruption as well as inducing systemic inflammatory responses, are presented as a global public health problem. To enhance the effects of burn wound healing, treatment must simultaneously regulate both re-epitheli
Externí odkaz:
https://doaj.org/article/dad04dd813504dacaa73f77ba2ad66c0
Autor:
Sun Young Kim, Jinhyeon Kim, Hajung Kim, Young-Tae Chang, Hwa-Young Kwon, Jong Lyul Lee, Yong Sik Yoon, Chan Wook Kim, Seung-Mo Hong, Jin-ho Shin, Seung Wook Hong, Sung Wook Hwang, Byong Duk Ye, Jeong-Sik Byeon, Suk-Kyun Yang, Byung Ho Son, Seung-Jae Myung
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Fluorescence-guided surgery has emerged as an innovative technique with promising applications in the treatment of various tumors, including colon cancer. Tumor-initiating probe yellow (TiY) has been discovered for identifying tumorigenic ce
Externí odkaz:
https://doaj.org/article/c4d3bd942f6341eb8fc0d611fbc67c20
Autor:
Nam Hoon Kim, Juneyoung Lee, Suk Chon, Jae Myung Yu, In-Kyung Jeong, Soo Lim, Won Jun Kim, Keeho Song, Ho Chan Cho, Hea Min Yu, Kyoung-Ah Kim, Sang Soo Kim, Soon Hee Lee, Chong Hwa Kim, Soo Heon Kwak, Yong‐ho Lee, Choon Hee Chung, Sihoon Lee, Heung Yong Jin, Jae Hyuk Lee, Gwanpyo Koh, Sang-Yong Kim, Jaetaek Kim, Ju Hee Lee, Tae Nyun Kim, Hyun Jeong Jeon, Ji Hyun Lee, Jae-Han Jeon, Hye Jin Yoo, Hee Kyung Kim, Hyeong-Kyu Park, Il Seong Nam-Goong, Seongbin Hong, Chul Woo Ahn, Ji Hee Yu, Jong Heon Park, Keun-Gyu Park, Chan Ho Park, Kyong Hye Joung, Ohk-Hyun Ryu, Keun Yong Park, Eun-Gyoung Hong, Bong-Soo Cha, Kyu Chang Won, Yoon-Sok Chung, Sin Gon Kim
Publikováno v:
Endocrinology and Metabolism, Vol 39, Iss 5, Pp 722-731 (2024)
Background Atherogenic dyslipidemia, which is frequently associated with type 2 diabetes (T2D) and insulin resistance, contributes to the development of vascular complications. Statin therapy is the primary approach to dyslipidemia management in T2D,
Externí odkaz:
https://doaj.org/article/0dcfa97890d0434694d5229e34ac68b1
Autor:
Jong Wook Choi, Sung Hye Kong, Yoon Jung Kim, Hye Soo Chung, Jae Myung Yu, Joon-Sung Park, Chang Hwa Lee, Jung Hwan Park, Dong Sun Kim, Chang-Myung Oh, Shinje Moon
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Low muscle mass is a risk factor for mortality in patients with chronic kidney disease (CKD). However, it is not clear to what extent low muscle mass contributes to this risk, either independently or in combination with metabolic abnormaliti
Externí odkaz:
https://doaj.org/article/e6c7654ce68540d7a2f0fb69a71f0d24
Autor:
Tae Joo Jeon, Jae Myung Cha
Publikováno v:
Clinical Endoscopy, Vol 57, Iss 6, Pp 836-838 (2024)
Externí odkaz:
https://doaj.org/article/774e30eb620e4380860340b0f7426923
Autor:
Roth, Karsten, Kim, Jae Myung, Koepke, A. Sophia, Vinyals, Oriol, Schmid, Cordelia, Akata, Zeynep
The visual classification performance of vision-language models such as CLIP has been shown to benefit from additional semantic knowledge from large language models (LLMs) such as GPT-3. In particular, averaging over LLM-generated class descriptors,
Externí odkaz:
http://arxiv.org/abs/2306.07282
Cross-modal retrieval methods are the preferred tool to search databases for the text that best matches a query image and vice versa. However, image-text retrieval models commonly learn to memorize spurious correlations in the training data, such as
Externí odkaz:
http://arxiv.org/abs/2304.03391
Due to the expensive costs of collecting labels in multi-label classification datasets, partially annotated multi-label classification has become an emerging field in computer vision. One baseline approach to this task is to assume unobserved labels
Externí odkaz:
http://arxiv.org/abs/2304.01804