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A Snapshot Multi-Spectral Demosaicing Method for Multi-Spectral Filter Array Images Based on Channel Attention Network 期刊论文
SENSORS, 2024, 卷号: 24, 期号: 3
作者:  Zhang, Xuejun;  Dai, Yidan;  Zhang, Geng;  Zhang, Xuemin;  Hu, Bingliang
Adobe PDF(2829Kb)  |  收藏  |  浏览/下载：28/0  |  提交时间：2024/03/15
multi-spectral filter array  demosaicing  convolution neural network  
CMID: Crossmodal Image Denoising via Pixel-Wise Deep Reinforcement Learning 期刊论文
Sensors, 2024, 卷号: 24, 期号: 1
作者:  Guo, Yi;  Gao, Yuanhang;  Hu, Bingliang;  Qian, Xueming;  Liang, Dong
Adobe PDF(1987Kb)  |  收藏  |  浏览/下载：31/0  |  提交时间：2024/02/07
deep reinforcement learning  pixel-wise image processing  crossmodal image denoising  infrared image denoising  terahertz image denoising  
Automated pattern generation for swarm robots using constrained multi-objective genetic programming 期刊论文
SWARM AND EVOLUTIONARY COMPUTATION, 2023, 卷号: 81
作者:  Fan, Zhun;  Wang, Zhaojun;  Li, Wenji;  Zhu, Xiaomin;  Hu, Bingliang;  Zou, An-Min;  Bao, Weidong;  Gu, Minqiang;  Hao, Zhifeng;  Jin, Yaochu
Adobe PDF(3731Kb)  |  收藏  |  浏览/下载：49/0  |  提交时间：2023/07/17
Gene regulatory network (GRN)  Entrapping pattern generation  Self-organization  Constrained multi-objective genetic  programming (CMOGP)  
Motion Capture for Sporting Events Based on Graph Convolutional Neural Networks and Single Target Pose Estimation Algorithms 期刊论文
APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 13
作者:  Duan, Chengpeng;  Hu, Bingliang;  Liu, Wei;  Song, Jie
Adobe PDF(9092Kb)  |  收藏  |  浏览/下载：61/0  |  提交时间：2023/08/16
single-target pose estimation  graph convolutional neural network  deep learning  target detection  
VG-Swarm: A Vision-Based Gene Regulation Network for UAVs Swarm Behavior Emergence 期刊论文
IEEE Robotics and Automation Letters, 2023, 卷号: 8, 期号: 3, 页码: 1175-1182
作者:  Li, Huanlin;  Cai, Yuwei;  Hong, Juncao;  Xu, Peng;  Cheng, Hui;  Zhu, Xiaomin;  Hu, Bingliang;  Hao, Zhifeng;  Fan, Zhun
Adobe PDF(2813Kb)  |  收藏  |  浏览/下载：92/0  |  提交时间：2023/02/28
Aerial systems  Perception and autonomy  biologically-inspired robots  swarm robotics  
Nonlinear image translation using adaptive rectifier with structure adaption 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2023, 卷号: 32, 期号: 2
作者:  Zhang, Yipeng;  Hu, Bingliang;  Ning, Hailong;  Wang, Quan
Adobe PDF(7094Kb)  |  收藏  |  浏览/下载：62/0  |  提交时间：2023/07/03
image translation  generative adversarial networks  activation function  deep learning  
Quantifying the Impact of Myopia on Visual Perception in Children Through Eye Tracking 会议论文
2023 8th International Conference on Image, Vision and Computing, ICIVC 2023, Dalian, China, 2023 - 7 - 27
作者:  Liu, Xi;  Yan, Xiangyu;  You, Jialu;  Wang, Yuqi;  Dang, Ruochen;  Hu, Bingliang;  Zhang, Le;  Wang, Quan
Adobe PDF(1347Kb)  |  收藏  |  浏览/下载：50/0  |  提交时间：2023/11/23
myopia  eye tracking  cognitive function  memory  visual recognition  
VGSwarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence 预印本
2022
作者:  Cai, Yuwei;  Li, Huanlin;  Fan, Zhun;  Hong, Juncao;  Xu, Peng;  Cheng, Hui;  Zhu, Xiaomi;  Hu, Bingliang;  Hao, Zhifeng
Adobe PDF(8247Kb)  |  收藏  |  浏览/下载：135/0  |  提交时间：2022/07/29
Pupil Dilation Reflecting the Characteristics of Attention Networks of Patients Using Image Processing 会议论文
2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022, Changchun, China, 2022-02-25
作者:  Zhang, Huangyemin;  Wen, Shirui;  Zhu, Guangpu;  Huang, Kailing;  Hu, Bingliang;  Wang, Quan;  Feng, Li
Adobe PDF(3975Kb)  |  收藏  |  浏览/下载：125/1  |  提交时间：2022/05/11
Attention networks  Frontal lobe epilepsy  Temporal lobe epilepsy  Attention network test  Pupillometry  
Memory Deficit in Patients With Temporal Lobe Epilepsy: Evidence From Eye Tracking Technology 期刊论文
FRONTIERS IN NEUROSCIENCE, 2021, 卷号: 15
作者:  Zhu, Guangpu;  Wang, Jing;  Xiao, Ling;  Yang, Ke;  Huang, Kailing;  Li, Beibin;  Huang, Sha;  Hu, Bingliang;  Xiao, Bo;  Liu, Ding;  Feng, Li;  Wang, Quan
Adobe PDF(2081Kb)  |  收藏  |  浏览/下载：146/2  |  提交时间：2021/10/08
eye tracking  memory impairment  temporal lobe epilepsy  electroencephalography  visual attention