Zobrazeno 1 - 10
of 27
pro vyhledávání: '"SeongUk Park"'
Publikováno v:
IEEE Access, Vol 11, Pp 123798-123806 (2023)
To reduce memory usage, edge devices such as TVs use Super-resolution(SR) with dedicated hardware networks. Dedicated hardware has the disadvantage of being difficult to change and difficult to improve performance. We propose a dual-structured SR sys
Externí odkaz:
https://doaj.org/article/8d4620bc0e034f778bf98ad66c2c9a3f
Publikováno v:
IEEE Access, Vol 11, Pp 23896-23908 (2023)
Deep learning models in image synthesis have proven their applicability in various image translation areas. However, although the synthesized image may reflect the user’s intention, some of its properties may be different from those of real images.
Externí odkaz:
https://doaj.org/article/7e19e14e6b2f4a7f9666d6ac077a3121
Publikováno v:
New Physics: Sae Mulli. 72:173-179
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae6292783c5a861b49e0ca4dd2735cc0
https://doi.org/10.3938/npsm.72.173
https://doi.org/10.3938/npsm.72.173
Publikováno v:
Sensors, Vol 21, Iss 1, p 210 (2020)
With the upsurge in the use of Unmanned Aerial Vehicles (UAVs) in various fields, detecting and identifying them in real-time are becoming important topics. However, the identification of UAVs is difficult due to their characteristics such as low alt
Externí odkaz:
https://doaj.org/article/733ff202df8c4d6e803906f9f4b3928b
Publikováno v:
2022 IEEE Radar Conference (RadarConf22).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46abfb8c5f871d2b20aa689f55fc4b88
https://doi.org/10.1109/radarconf2248738.2022.9764177
https://doi.org/10.1109/radarconf2248738.2022.9764177
Electroacupuncture for Decorticate Rigidity of the Upper Limbs in a Patient with Anoxic Brain Damage
Publikováno v:
Case Reports in Medicine, Vol 2013 (2013)
Decorticate rigidity is a type of abnormal posturing that can make it difficult to move a patient and to change the patient’s position to prevent a decubitus ulcer. This condition poses a latent risk of bed sores. To prevent those complications, we
Externí odkaz:
https://doaj.org/article/e1b79eddb0e249e19b6fd12d166dde75
Publikováno v:
Sensors, Vol 21, Iss 210, p 210 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 1
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 1
With the upsurge in the use of Unmanned Aerial Vehicles (UAVs) in various fields, detecting and identifying them in real-time are becoming important topics. However, the identification of UAVs is difficult due to their characteristics such as low alt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6e9d4e7c556332e31c51a03ece297ff
https://doi.org/10.3390/s21010210
https://doi.org/10.3390/s21010210
Publikováno v:
ICCV
Recent advances in image-to-image translation have led to some ways to generate multiple domain images through a single network. However, there is still a limit in creating an image of a target domain without a dataset on it. We propose a method that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9581bf5230ebb8f4af9044160b791d5c
http://arxiv.org/abs/1811.12362
http://arxiv.org/abs/1811.12362
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012663
ECCV (15)
ECCV (15)
In this paper, we propose the Broadcasting Convolutional Network (BCN) that extracts key object features from the global field of an entire input image and recognizes their relationship with local features. BCN is a simple network module that collect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4186707e4b3964f8c624c9bd306d70eb
https://doi.org/10.1007/978-3-030-01267-0_46
https://doi.org/10.1007/978-3-030-01267-0_46
Autor:
Yu, Bruce X.B.1 (AUTHOR) xinboyu@intl.zju.edu.cn, Chang, Jianlong2 (AUTHOR) jianlong.chang@huawei.com, Wang, Haixin3 (AUTHOR) wang.hx@stu.pku.edu.cn, Liu, Lingbo4 (AUTHOR) liulb@pcl.ac.cn, Wang, Shijie2 (AUTHOR) wangsj@mail.dlut.edu.cn, Wang, Zhiyu2 (AUTHOR) wangzhiyu10@huawei.com, Lin, Junfan4 (AUTHOR) linjf8@mail2.sysu.edu.cn, Xie, Lingxi2 (AUTHOR) 198808xc@gmail.com, Li, Haojie5 (AUTHOR) hjli@dlut.edu.cn, Lin, Zhouchen6 (AUTHOR) zlin@pku.edu.cn, Tian, Qi2 (AUTHOR) tian.qi1@huawei.com, Chen, Chang Wen7 (AUTHOR) changwen.chen@polyu.edu.hk
Publikováno v:
ACM Computing Surveys. Dec2024, Vol. 56 Issue 12, p1-38. 38p.