Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Zunlin Fan"'
Publikováno v:
IEEE Access, Vol 7, Pp 133996-134013 (2019)
Non-negative matrix factorization (NMF) approximates a non-negative data matrix with the product of two low-rank non-negative matrices by minimizing the cost of such approximation. However, traditional NMF models cannot be generalized in the cases wh
Externí odkaz:
https://doaj.org/article/2eb13b14e0474bf8b4657dc6c585b66c
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::464e7b8d36380efd4e05a146780013f5
https://doi.org/10.1109/icassp49357.2023.10095523
https://doi.org/10.1109/icassp49357.2023.10095523
Publikováno v:
Optical Engineering. 60
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91ff1f96edc168628ed0c3103221fb20
https://doi.org/10.1117/1.oe.60.12.123102
https://doi.org/10.1117/1.oe.60.12.123102
Publikováno v:
ICTAI
Siamese network based trackers treat tracking as a maximum matching between the detection region and the template, in which the template is either fixed or updated. The template-fixed trackers degrade accuracy since the appearance variations of the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fadde9f2c7479a1f3459659f7af7a4b0
https://doi.org/10.1109/ictai50040.2020.00181
https://doi.org/10.1109/ictai50040.2020.00181
Publikováno v:
SMC
Vision-based target localization in the air-to-ground scenes of quadcopter is a hot topic in the military and civilian applications. The current localization approaches mostly rely on the intrinsic parameters of camera which are needed to calibrate i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72d462f654dfc413babb1521d604e1ae
https://doi.org/10.1109/smc42975.2020.9283325
https://doi.org/10.1109/smc42975.2020.9283325
Publikováno v:
IEEE Access, Vol 7, Pp 133996-134013 (2019)
Non-negative matrix factorization (NMF) approximates a non-negative data matrix with the product of two low-rank non-negative matrices by minimizing the cost of such approximation. However, traditional NMF models cannot be generalized in the cases wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f255d7971c93fef06ae205f18e2e7e7
https://doi.org/10.1109/access.2019.2941219
https://doi.org/10.1109/access.2019.2941219
Publikováno v:
Infrared Physics & Technology. 92:372-380
Since the object information cannot be extracted efficiently by the traditional infrared and visible image fusion algorithms, an infrared and visible image fusion method based on the non-subsampled shearlet transform (NSST) and sparse structure featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88348ca0ff3ecf980605141186b64144
https://doi.org/10.1016/j.infrared.2018.06.029
https://doi.org/10.1016/j.infrared.2018.06.029
Publikováno v:
Neurocomputing. 272:396-404
Long-range infrared images are always suffering from dim targets and background clutters. To improve the contrast between target and background, we propose a novel infrared image enhancement approach by highlighting target and suppressing background
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6d3aa1a145ca209e6ae08fc9e7a32fa
https://doi.org/10.1016/j.neucom.2017.07.017
https://doi.org/10.1016/j.neucom.2017.07.017
Publikováno v:
Infrared Physics & Technology. 86:44-51
Due to the variation of imaging environment and limitations of infrared imaging sensors, infrared images usually have some drawbacks: low contrast, few details and indistinct edges. Hence, to promote the applications of infrared imaging technology, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::432a846c25a02b3dfad425c73c3eb326
https://doi.org/10.1016/j.infrared.2017.08.015
https://doi.org/10.1016/j.infrared.2017.08.015
Low-level structure feature extraction for image processing via stacked sparse denoising autoencoder
Publikováno v:
Neurocomputing. 243:12-20
We use deep learning for image processing by extracting image feature.The extraction has good performance in noisy or low-light circumstance.We optimize TV and L0 smoothing filter by the proposed feature extraction.The features can extract image stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13fbbfe180c2368c15acf96b7e6666e9
https://doi.org/10.1016/j.neucom.2017.02.066
https://doi.org/10.1016/j.neucom.2017.02.066