Zobrazeno 1 - 10
of 297
pro vyhledávání: '"Guee-Sang Lee"'
Publikováno v:
IEEE Access, Vol 11, Pp 61892-61900 (2023)
Scene text recognition (STR) plays an important role in various computer vision activities. STR has been a desirable research topic in the computer community, and deep learning-based STR methods have gained tremendous outcomes over the past few years
Externí odkaz:
https://doaj.org/article/96adbb1a16f4412f9125dc17ddaafe14
Autor:
Quang-Vinh Dang, Guee-Sang Lee
Publikováno v:
IEEE Access, Vol 11, Pp 67791-67805 (2023)
The scene text segmentation task provides a wide range of practical applications. However, the number of images in the available datasets for scene text segmentation is not large enough to effectively train deep learning-based models, leading to limi
Externí odkaz:
https://doaj.org/article/206d206d833e41d88533c9cc4cef6e98
Publikováno v:
IEEE Access, Vol 11, Pp 37437-37449 (2023)
This article introduces a framework for predicting the survival of brain tumor patients by analyzing magnetic resonance images. The prediction of brain tumor survival is challenging due to the limited size of available datasets. To overcome the issue
Externí odkaz:
https://doaj.org/article/7eab1ddbd00a4e4c80cded133e5319ac
Publikováno v:
IEEE Access, Vol 11, Pp 29091-29100 (2023)
In-hospital clinical deterioration is a major worldwide healthcare burden in the intensive care units (ICUs), as it requires rapid intervention. Rapid response systems (RRSs) are widely used in many hospitals for the early detection of clinical deter
Externí odkaz:
https://doaj.org/article/3e01033df3e648d7b9ecc8f910357511
Publikováno v:
IEEE Access, Vol 11, Pp 14742-14751 (2023)
Emotion recognition has been an active research area for a long time. Recently, multimodal emotion recognition from video data has grown in importance with the explosion of video content due to the emergence of short video social media platforms. Eff
Externí odkaz:
https://doaj.org/article/8f72a639eb4c49fdb5b2192374b9fdfc
Autor:
Sudarshan Pant, Eunchae Lim, Hyung-Jeong Yang, Guee-Sang Lee, Soo-Hyung Kim, Young-Shin Kang, Hyerim Jang
Publikováno v:
IEEE Access, Vol 10, Pp 119221-119231 (2022)
Understanding emotions in conversation is a challenging task, as the sentences often have an implied meaning that is not generally understood in isolation. Efficient use of contextual information is essential for emotion recognition in conversations.
Externí odkaz:
https://doaj.org/article/93aa711912394d7291db5fa04bdcec5c
Publikováno v:
Sensors, Vol 23, Iss 13, p 5889 (2023)
Detecting dense text in scene images is a challenging task due to the high variability, complexity, and overlapping of text areas. To adequately distinguish text instances with high density in scenes, we propose an efficient approach called DenseText
Externí odkaz:
https://doaj.org/article/b76af5ff4e0448f99c3a5932914efece
Publikováno v:
Sensors, Vol 23, Iss 10, p 4770 (2023)
Human facial emotion detection is one of the challenging tasks in computer vision. Owing to high inter-class variance, it is hard for machine learning models to predict facial emotions accurately. Moreover, a person with several facial emotions incre
Externí odkaz:
https://doaj.org/article/52ec8c4932074a02a98dbb60e5506caa
Autor:
Quang-Vinh Dang, Guee-Sang Lee
Publikováno v:
IEEE Access, Vol 9, Pp 36924-36936 (2021)
Text is the most crucial element in a document image but is often disconnected in document image binarization. Most of the previous methods based on deep learning do not focus on structure information such as stroke boundary, leading to disconnected
Externí odkaz:
https://doaj.org/article/d059434efc074bc399be6e28e7e929d4
Publikováno v:
IEEE Access, Vol 9, Pp 84356-84363 (2021)
Group cohesiveness represents the bonding between members in a group. Indeed, a group with high cohesiveness may easily reach success in their task. Therefore, the most critical element that affects the success of a group is group cohesiveness, which
Externí odkaz:
https://doaj.org/article/57cc04fb16134cd2affe83c0d067e93d