Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Luo, Junwen"'
Autor:
Jiang, Yuying, Bai, Fan, Zhang, Zicheng, Ye, Xiaochen, Liu, Zheng, Shi, Zhiping, Yao, Jianwei, Liu, Xiaojun, Zhu, Fangkun, Guo, Junling Li Qian, Wang, Xiaoan, Luo, Junwen
Objective.Visual-Brain Machine Interface(V-BMI) has provide a novel interaction technique for Augmented Reality (AR) industries. Several state-of-arts work has demonstates its high accuracy and real-time interaction capbilities. However, most of the
Externí odkaz:
http://arxiv.org/abs/2308.15056
Autor:
Zhao, Zihao, Wang, Yanhong, Zou, Qiaosha, Xu, Tie, Tao, Fangbo, Zhang, Jiansong, Wang, Xiaoan, Shi, C. -J. Richard, Luo, Junwen, Xie, Yuan
Action recognition is an exciting research avenue for artificial intelligence since it may be a game changer in the emerging industrial fields such as robotic visions and automobiles. However, current deep learning faces major challenges for such app
Externí odkaz:
http://arxiv.org/abs/2206.01910
Autor:
Sun, Fei, Qin, Minghai, Zhang, Tianyun, Ma, Xiaolong, Li, Haoran, Luo, Junwen, Zhao, Zihao, Chen, Yen-Kuang, Xie, Yuan
Deep neural networks (DNNs) have been proven to be effective in solving many real-life problems, but its high computation cost prohibits those models from being deployed to edge devices. Pruning, as a method to introduce zeros to model weights, has s
Externí odkaz:
http://arxiv.org/abs/2112.10898
Autor:
Liu, Zongxiang1,2 (AUTHOR) 2110436085@email.szu.edu.cn, Luo, Junwen1,2 (AUTHOR) 2100432010@email.szu.edu.cn, Zhou, Chunmei1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2023, Vol. 15 Issue 21, p5258. 17p.
Autor:
Luo, Junwen, Chen, Jiaoyan
In this work we present a novel internal clock based space-time neural network for motion speed recognition. The developed system has a spike train encoder, a Spiking Neural Network (SNN) with internal clocking behaviors, a pattern transformation blo
Externí odkaz:
http://arxiv.org/abs/2001.10159
Publikováno v:
In Research Policy May 2022 51(4)
Autor:
Luo, Junwen
The biological neural computational mechanism is always fascinating to human beings since it shows several state-of-the-art characteristics: strong fault tolerance, high power efficiency and self-learning capability. These behaviours lead the develop
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.677893
Akademický článek
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Publikováno v:
In Results in Physics September 2020 18
Autor:
Wu, Jing, Zhao, Xiaogang, Sun, Qifeng, Jiang, Yunfeng, Zhang, Weiquan, Luo, Junwen, Li, Yixin *
Publikováno v:
In Biomedicine & Pharmacotherapy May 2020 125