Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Guoen Hu"'
Autor:
Shuai Yang, Kai Qiao, Ruoxi Qin, Pengfei Xie, Shuhao Shi, Ningning Liang, Linyuan Wang, Jian Chen, Guoen Hu, Bin Yan
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2022)
With the continuous development of deep-learning technology, ever more advanced face-swapping methods are being proposed. Recently, face-swapping methods based on generative adversarial networks (GANs) have realized many-to-many face exchanges with f
Externí odkaz:
https://doaj.org/article/b5621be2a019478aa2bcd26b823855a9
Autor:
Pengfei Xie, Shuhao Shi, Shuai Yang, Kai Qiao, Ningning Liang, Linyuan Wang, Jian Chen, Guoen Hu, Bin Yan
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Deep neural networks (DNNs) are proven vulnerable to attack against adversarial examples. Black-box transfer attacks pose a massive threat to AI applications without accessing target models. At present, the most effective black-box attack methods mai
Externí odkaz:
https://doaj.org/article/7a9a399a89c84dc597af79f523cd821c
Autor:
Wenkun Zhang, Ailong Cai, Zhizhong Zheng, Linyuan Wang, Ningning Liang, Lei Li, Bin Yan, Guoen Hu
Publikováno v:
IEEE Access, Vol 7, Pp 138579-138592 (2019)
Dual-energy computed tomography (DECT) has attracted the attention of clinical researchers because of its outstanding capabilities to identify and decompose materials. Considering that material decomposition is unstable, reconstructed material images
Externí odkaz:
https://doaj.org/article/3e16ea395b754eb7a7bf1e0fdae9ca32
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0149899 (2016)
Total generalized variation (TGV)-based computed tomography (CT) image reconstruction, which utilizes high-order image derivatives, is superior to total variation-based methods in terms of the preservation of edge information and the suppression of u
Externí odkaz:
https://doaj.org/article/2eda52a36c654864ab90360f8df294df
Publikováno v:
Abstract and Applied Analysis, Vol 2008 (2008)
Externí odkaz:
https://doaj.org/article/65fd89c52db949a4afebde4b4802a298
Publikováno v:
Neural Processing Letters.
Publikováno v:
The Visual Computer.
Publikováno v:
The Journal of Geometric Analysis. 33
Let $k\in\mathbb{N}$, $Ω$ be homogeneous of degree zero, integrable on $S^{d-1}$ and have vanishing moment of order $k$, $a$ be a function on $\mathbb{R}^d$ such that $\nabla a\in L^{\infty}(\mathbb{R}^d)$, and $T_{Ω,\,a;k}$ be the $d$-dimensional
Publikováno v:
Fourteenth International Conference on Digital Image Processing (ICDIP 2022).
Autor:
Xiangxing Tao, Guoen Hu
Publikováno v:
Potential Analysis. 58:241-262
Let $\Omega$ be homogeneous of degree zero and have mean value zero on the unit sphere ${S}^{d-1}$, $T_{\Omega}$ be the homogeneous singular integral operator with kernel $\frac{\Omega(x)}{|x|^d}$ and $T_{\Omega,\,b}$ be the commutator of $T_{\Omega}