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The Human Continuity Activity Semi-Supervised Recognizing Model for Multi-View IoT Network 期刊论文
IEEE Internet of Things Journal, 2023, 卷号: 17, 期号: 4, 页码: 2031-2046
作者:  Ruiwen Yuan;  Wang JP(王军平)
Adobe PDF(1265Kb)  |  收藏  |  浏览/下载：96/32  |  提交时间：2023/05/05
Color‐Guided Depth Map Super‐Resolution Using a Dual‐Branch Multi‐Scale Residual Network with Channel Interaction 期刊论文
Sensors, 2020, 卷号: 20, 期号: 6, 页码: 1560
作者:  陈睿进;  高伟
Adobe PDF(2336Kb)  |  收藏  |  浏览/下载：255/62  |  提交时间：2020/04/30
Depth Map  Super‐resolution  Guidance  Residual Network  Channel Interaction  
fficient underwater image and video enhancement based on Retinex 期刊论文
Efficient underwater image and video enhancement based on Retinex, 2019, 卷号: none, 期号: none, 页码: none
作者:  Tang,Chong;  Freiherr von Lukas, Uwe;  Vahl, Matthias;  Wang, Shuo;  Wang, Yu;  Tan, Min
Adobe PDF(1170Kb)  |  收藏  |  浏览/下载：365/143  |  提交时间：2019/04/30
Underwater Video Processing  Color Correction  Contrast Improvement  Retinex  Msrcp  
High-quality 3D Reconstruction with Depth Super-resolution and Completion 期刊论文
IEEE Access, 2019, 卷号: 7, 期号: 1, 页码: 19370-19381
作者:  Li JW(李建伟);  Gao W(高伟);  Wu YH(吴毅红)
Adobe PDF(4152Kb)  |  收藏  |  浏览/下载：330/95  |  提交时间：2019/04/22
Deep Learning  Super-resolution  Image Processing  Depth Completion  3d Reconstruction  
Effective automated pipeline for 3D reconstruction of synapses based on deep learning 期刊论文
BMC Bioinformatics, 2018, 卷号: 19, 期号: 1, 页码: 263
作者:  Xiao, Chi;  Li, Weifu;  Deng, Hao;  Chen, Xi;  Yang, Yang;  Xie, QiWei;  Han, Hua
浏览  |  Adobe PDF(7961Kb)  |  收藏  |  浏览/下载：307/96  |  提交时间：2019/05/06
Electron Microscope, Synapse Detection, Deep Learning, Synapse Segmentation, 3d Reconstruction Of Synapses  
A cascaded method for text detection in natural scene images 期刊论文
Neurocomputing, 2017, 卷号: 238, 期号: 238, 页码: 307-315
作者:  Yang, Zheng;  Qing, Li;  Jie, Liu;  Heping, Liu;  Gen, Li;  Shuwu, Zhang
浏览  |  Adobe PDF(2826Kb)  |  收藏  |  浏览/下载：236/61  |  提交时间：2019/10/09
Extremal Regions  Recursive Local Search  Text Line Entropy  Convolutional Neural Network  
Power allocation scheme based on sum capacity maximization for signal-to-leakage-and-noise ratio precoded multiuser multiple-input single-output downlink 期刊论文
WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, 2015, 卷号: 15, 期号: 4, 页码: 685-698
作者:  Zhao K(赵恺);  Haixia Zhang;  Dongfeng Yuan;  Feng Zhao
浏览  |  Adobe PDF(599Kb)  |  收藏  |  浏览/下载：161/67  |  提交时间：2019/10/10
Signal-to-leakage-and-noise Ratio (Slnr)  Precoding  Power Allocation  Multiple-input Single-output (Miso)