Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Chih-Hung Kuo"'
Publikováno v:
IEEE Access, Vol 8, Pp 9751-9759 (2020)
Convolutional neural networks (CNNs) have been widely applied in super-resolution (SR) and other image restoration tasks. Recently, Hinton et al. proposed capsule neural networks to resolve the problem of viewpoint variations in image classification
Externí odkaz:
https://doaj.org/article/c94a07b224e645fb972a0b76e59746a4
Autor:
De-Wei Chen, Chih-Hung Kuo
Publikováno v:
IEEE Access, Vol 8, Pp 97975-97985 (2020)
Recently, studies on single image super-resolution using Deep Convolutional Neural Networks (DCNN) have been demonstrated to have made outstanding progress over conventional signal-processing based methods. However, existing architectures have grown
Externí odkaz:
https://doaj.org/article/295433746dd040ec98cd0ade1ff3ac97
Publikováno v:
IEEE Access, Vol 8, Pp 163775-163783 (2020)
Compared with the state-of-the-art architectures, using the 3D point cloud as the input of the 2D convolutional neural network without preprocessing will restrict the feature expression of the network. To address this issue, we propose a high-precisi
Externí odkaz:
https://doaj.org/article/11b7b924985547829a207ca6b11d80f1
Publikováno v:
IEEE Sensors Journal. 22:1003-1011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7784149c9f75ebeb3545b2776a3317a0
https://doi.org/10.1109/jsen.2021.3130268
https://doi.org/10.1109/jsen.2021.3130268
Publikováno v:
IEEE Signal Processing Letters. 29:2722-2726
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1daa1c859c8c170e9b574e361feb6737
https://doi.org/10.1109/lsp.2022.3229566
https://doi.org/10.1109/lsp.2022.3229566
Publikováno v:
2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d3a0358ed54a5f27301b842c6ac79a8
https://doi.org/10.1109/rasse54974.2022.9989570
https://doi.org/10.1109/rasse54974.2022.9989570
Publikováno v:
2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3bcb1d43b3d18df6e98bdace0ce2f77
https://doi.org/10.1109/vlsi-dat54769.2022.9768055
https://doi.org/10.1109/vlsi-dat54769.2022.9768055
Autor:
Chih-Hung Kuo
Publikováno v:
European Journal of Ophthalmology. 31:782-785
Purpose To describe a surgical technique to optimize XEN gel stent position and its outflow. Methods A small 1- to 1.5-mm square lamellar sclerectomy was created at the external tip of the XEN gel stent implant. The lamellar scleral tissue, served as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa37f961dc233184d75db3eebb78156f
https://doi.org/10.1177/1120672120925319
https://doi.org/10.1177/1120672120925319
Publikováno v:
IEEE Access, Vol 8, Pp 9751-9759 (2020)
Convolutional neural networks (CNNs) have been widely applied in super-resolution (SR) and other image restoration tasks. Recently, Hinton et al. proposed capsule neural networks to resolve the problem of viewpoint variations in image classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a1d4f5e5571adae62ddfacaf1c181d7
https://ieeexplore.ieee.org/document/8950449/
https://ieeexplore.ieee.org/document/8950449/
Autor:
Chih-Hung Kuo, De-Wei Chen
Publikováno v:
IEEE Access, Vol 8, Pp 97975-97985 (2020)
Recently, studies on single image super-resolution using Deep Convolutional Neural Networks (DCNN) have been demonstrated to have made outstanding progress over conventional signal-processing based methods. However, existing architectures have grown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17082f39cf569ecb3d30574b3221daf
https://ieeexplore.ieee.org/document/9099286/
https://ieeexplore.ieee.org/document/9099286/