Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zhengxiong Luo"'
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:4457-4468
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a884f36ece0e1b3f859605e4a142eee0
https://doi.org/10.1109/tcad.2022.3201471
https://doi.org/10.1109/tcad.2022.3201471
Autor:
Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::033a98bc2b855bc38e24703afd2eff3a
https://doi.org/10.1109/cvprw56347.2022.00117
https://doi.org/10.1109/cvprw56347.2022.00117
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2022 (2022)
With the power of deep learning, super-resolution (SR) methods enjoy a dramatic boost in performance. However, they usually have a large model size and high computational complexity, which hinders the application in devices with limited memory and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b05ccb66f642150cd0a0e22aced0fb3
https://doaj.org/article/7338301941a24127926ec4692543813a
https://doaj.org/article/7338301941a24127926ec4692543813a
Publikováno v:
DAC
The rapid development of in-vehicle networks and protocols brings efficient communication service but also increases the risk of attack. Any vulnerability may be leveraged to cause serious consequences. It is of vital importance to guarantee their se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::552d319b5034df133c2633276ed4ae3f
https://doi.org/10.1109/dac18074.2021.9586321
https://doi.org/10.1109/dac18074.2021.9586321
Publikováno v:
2021 International Conference on Culture-oriented Science & Technology (ICCST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9055bd7396b9cfca40b0fda48a14b11a
https://doi.org/10.1109/iccst53801.2021.00104
https://doi.org/10.1109/iccst53801.2021.00104
Publikováno v:
ACM Transactions on Embedded Computing Systems. 18:1-22
Industrial Control System (ICS) protocols are widely used to build communications among system components. Compared with common internet protocols, ICS protocols have more control over remote devices by carrying a specific field called “function co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b79e56fc4cd0cc63346f9c24fdf8d5a
https://doi.org/10.1145/3358227
https://doi.org/10.1145/3358227
Publikováno v:
CVPR
Heatmap regression has become the most prevalent choice for nowadays human pose estimation methods. The ground-truth heatmaps are usually constructed via covering all skeletal keypoints by 2D gaussian kernels. The standard deviations of these kernels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e1aecce061bc5277ccac999c8db4bcb
https://doi.org/10.1109/cvpr46437.2021.01306
https://doi.org/10.1109/cvpr46437.2021.01306
Publikováno v:
ICPR
Deep neural networks have achieved remarkable results on image super resolution (SR), but the efficiency problem of deep SR networks is rarely studied. We experimentally find that many sequentially stacked convolutional blocks in nowadays SR networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c512090e04e3cf3c02a21cedf7702817
https://doi.org/10.1109/icpr48806.2021.9412271
https://doi.org/10.1109/icpr48806.2021.9412271
Publikováno v:
DAC
Industrial Control System (ICS) protocols play an essential role in building communications among system components. Recently, many severe vulnerabilities, such as Stuxnet and DragonFly, exposed in ICS protocols have affected a wide distribution of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16f21b7fa47020f948d70c1f65a11f0
https://doi.org/10.1109/dac18072.2020.9218603
https://doi.org/10.1109/dac18072.2020.9218603
Autor:
Erjin Zhou, Yuanhao Cai, Jian Sun, Zhengxiong Luo, Haoqian Wang, Binyi Yin, Xinyu Zhou, Xiangyu Zhang, Angang Du, Zhicheng Wang
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585792
ECCV (3)
ECCV (3)
In this paper, we propose a novel method called Residual Steps Network (RSN). RSN aggregates features with the same spatial size (Intra-level features) efficiently to obtain delicate local representations, which retain rich low-level spatial informat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbe3601df3b3f2fd9b0e2d6f10a9b463
https://doi.org/10.1007/978-3-030-58580-8_27
https://doi.org/10.1007/978-3-030-58580-8_27
