Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nailiang KUANG"'
Publikováno v:
IET Image Processing, Vol 15, Iss 14, Pp 3585-3598 (2021)
Abstract Human detection in crowded scenes is one of the research components of crowd safety problem analysis, such as emergency warning and security monitoring platforms. Although the existing anchor‐free methods have fast inference speed, they ar
Externí odkaz:
https://doaj.org/article/7dad8689e7c14b8c9b305656b35d5263
Autor:
Nailiang KUANG1,2, Guoran LU3,4, Kui LI1,2, Yanmei KONG3, Jiangbin ZHENG1, Binbin JIAO3 jiaobinb@ime.ac.cn
Publikováno v:
Thermal Science. 2024, Vol. 28 Issue 2A, p889-901. 13p.
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33ea454dad43e8c86bbdd8953e639812
https://doi.org/10.1109/tgrs.2023.3276750
https://doi.org/10.1109/tgrs.2023.3276750
Publikováno v:
IEEE Transactions on Components, Packaging and Manufacturing Technology. 12:1502-1515
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29932220e73daf47254068010b73317a
https://doi.org/10.1109/tcpmt.2022.3192830
https://doi.org/10.1109/tcpmt.2022.3192830
Publikováno v:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bf03c030e29453a52abc2d9513f3f66
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00197
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00197
Publikováno v:
IET Image Processing, Vol 15, Iss 14, Pp 3585-3598 (2021)
Human detection in crowded scenes is one of the research components of crowd safety problem analysis, such as emergency warning and security monitoring platforms. Although the existing anchor‐free methods have fast inference speed, they are not sui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::535777946cfa45b79f63e8e4edfb019c
https://doi.org/10.1049/ipr2.12298
https://doi.org/10.1049/ipr2.12298
Publikováno v:
2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d41bca108c07ce97c7c7959cccd0f667
https://doi.org/10.1109/icfeict57213.2022.00025
https://doi.org/10.1109/icfeict57213.2022.00025
Publikováno v:
Advances in Brain Inspired Cognitive Systems ISBN: 9783030394301
BICS
BICS
According to the characteristics of the road in the remote sensing images, we de-sign a dilated convolutional neural network (DCN) for road extraction. In order to minimize the problem of feature disappearance caused by down-sampling, we use dilated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc3563a5043113245bc210bb1cfe08b9
https://doi.org/10.1007/978-3-030-39431-8_25
https://doi.org/10.1007/978-3-030-39431-8_25
Publikováno v:
Advances in Brain Inspired Cognitive Systems ISBN: 9783030394301
BICS
BICS
Copy-move forgery is one of the most tampered means. In this paper, we propose a blind method based on the color label and oriented color texture feature for copy-move detection. Firstly, we compute local color entropy of every pixel, which is groupe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::999ab12ffe78a32107fabe1c205494b2
https://doi.org/10.1007/978-3-030-39431-8_37
https://doi.org/10.1007/978-3-030-39431-8_37
Publikováno v:
Advances in Brain Inspired Cognitive Systems ISBN: 9783030394301
BICS
BICS
The image processing has witnessed remarkable progress in image denoising. Nevertheless, restoring the visual quality of the image remains a great challenge. Existing methods might fail to obtain the denoised images with high visual quality since the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a528f3d141e3091f723e5ff7919bbdc
https://doi.org/10.1007/978-3-030-39431-8_41
https://doi.org/10.1007/978-3-030-39431-8_41