Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhongkui Fan"'
Autor:
Zhongkui Fan, Ye-Peng Guan
Publikováno v:
Computer Science and Information Systems. 20:793-812
Recognizing pedestrian attributes has recently obtained increasing attention due to its great potential in person re-identification, recommendation system, and other applications. Existing methods have achieved good results, but these methods do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec43592f83dc9a368273489c890c1ac0
https://doi.org/10.2298/csis220815016f
https://doi.org/10.2298/csis220815016f
Autor:
Zhongkui Fan, YePeng Guan
Publikováno v:
2022 3rd International Conference on Pattern Recognition and Machine Learning (PRML).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47e7ff5874b9ae0bba5c2f333a3c67df
https://doi.org/10.1109/prml56267.2022.9882264
https://doi.org/10.1109/prml56267.2022.9882264
Publikováno v:
2022 3rd International Conference on Pattern Recognition and Machine Learning (PRML).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5807653090673100fbaf5fe6d6cb1de9
https://doi.org/10.1109/prml56267.2022.9882268
https://doi.org/10.1109/prml56267.2022.9882268
Autor:
Zhongkui Fan, Ye-Peng Guan
Publikováno v:
Computer Science and Information Systems. 18:1395-1409
Deep learning has achieved a great success in face recognition (FR), however, little work has been done to apply deep learning for face photo-sketch recognition. This paper proposes an adaptive scale local binary pattern extraction method for optical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca4d8cdd8888d267cefa82690c2e7e12
https://doi.org/10.2298/csis200922028f
https://doi.org/10.2298/csis200922028f
Autor:
Zhongkui Fan, Ye-peng Guan
Publikováno v:
Journal of Real-Time Image Processing. 18:999-1009
Most of the CNN (convolutional neural networks) methods require alignment, which will affect the efficiency of verification. This paper proposes a deep face verification framework without alignment. First and foremost, the framework consists of two t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7389ec21eb3671b0d4d134f68f780f8
https://doi.org/10.1007/s11554-020-01037-z
https://doi.org/10.1007/s11554-020-01037-z
Publikováno v:
Computer, Informatics, Cybernetics & Applications; 2012, p773-781, 9p