Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Huicheng Zheng"'
Publikováno v:
IEEE Access, Vol 7, Pp 52498-52507 (2019)
Continuous casting mold (CCM) is molding equipment of the casting blank and widely used in iron and steel metallurgy. This paper focuses on the tracking control of vibration displacement of CCM is driven by a servo motor. To address the non-unique in
Externí odkaz:
https://doaj.org/article/98efbeeed1814a6b8cbad3de99fbc54e
Publikováno v:
IEEE Access, Vol 6, Pp 16855-16868 (2018)
Recognizing human actions across different views is challenging, since observations of the same action often vary greatly with viewpoints. To solve this problem, most existing methods explore the cross-view feature transfer relationship at video leve
Externí odkaz:
https://doaj.org/article/b68c5579ea1441ec9f4c5723958f7033
Autor:
Huicheng Zheng, Mohamed Daoudi
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 4, Iss 2 (2004)
This work is aimed at the detection of adult images that appear in Internet. Skin detection is of the paramount importance in the detection of adult images. We build a maximum entropy model for this task. This model, called the First Order Model in t
Externí odkaz:
https://doaj.org/article/e9215a4e0bdb46dd8ef832a9a49481ab
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:3197-3205
In unconstrained scenarios, face recognition remains challenging, particularly when faces are occluded. Existing methods generalize poorly due to the distribution distortion induced by unpredictable occlusions. To tackle this problem, we propose a hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63ba6795bc13fce6ff37e99aa382d81f
https://doi.org/10.1609/aaai.v36i3.20228
https://doi.org/10.1609/aaai.v36i3.20228
Publikováno v:
Multimedia Tools and Applications. 81:11621-11637
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b837fd887da2899ff70ca05852c6999
https://doi.org/10.1007/s11042-022-12241-3
https://doi.org/10.1007/s11042-022-12241-3
Publikováno v:
Journal of Imaging Science & Technology; Jul/Aug2023, Vol. 67 Issue 4, p1-13, 13p
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b54e1ed318e1823dcf0622f962097f1a
https://doi.org/10.1109/icpr56361.2022.9956344
https://doi.org/10.1109/icpr56361.2022.9956344
Publikováno v:
The Computer Journal.
In prediction error-based reversible data hiding, multiple histograms modification (MHM) is well known for high image quality and thus has received wide attention in recent years. However, the computational cost for performance optimization in MHM is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b3713caf114c169fb4e6299c7a33bd
https://doi.org/10.1093/comjnl/bxac109
https://doi.org/10.1093/comjnl/bxac109
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 31:1890-1900
Dense video captioning aims to localize and describe multiple events in untrimmed videos, which is a challenging task that draws attention recently in computer vision. Although existing methods have achieved impressive performance, most of them only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7134c7ab4dc0cc802cf73e72f62f3a29
https://doi.org/10.1109/tcsvt.2020.3014606
https://doi.org/10.1109/tcsvt.2020.3014606
Publikováno v:
Neural Processing Letters. 53:1921-1943
Current detection networks usually struggle to detect small-scale object instances due to spatial information loss and lack of semantics. In this paper, we propose a one-stage detector named LocalNet, which pays specific attention to the detailed inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14104ed656b43e0b635fda3c9e117f79
https://doi.org/10.1007/s11063-021-10493-y
https://doi.org/10.1007/s11063-021-10493-y