CASIA OpenIR

浏览/检索结果: 共16条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Attention-Guided Network for Semantic Video Segmentation 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 140680-140689
作者:  Li, Jiangyun;  Zhao, Yikai;  Fu, Jun;  Wu, Jiajia;  Liu, Jing
收藏  |  浏览/下载:275/0  |  提交时间:2020/03/30
Semantics  Image segmentation  Feature extraction  Active appearance model  Optical imaging  Context modeling  Task analysis  Semantic video segmentation  attention  convolutional neural networks  
Deep Hierarchical Encoder-Decoder Network for Image Captioning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 11, 页码: 2942-2956
作者:  Xiao, Xinyu;  Wang, Lingfeng;  Ding, Kun;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载:336/0  |  提交时间:2020/03/30
Visualization  Semantics  Hidden Markov models  Decoding  Logic gates  Training  Computer architecture  Deep hierarchical structure  encoder-decoder  LSTM  image captioning  retrieval  vision-sentence  
A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3433-3443
作者:  Luo, Lincong;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
收藏  |  浏览/下载:236/0  |  提交时间:2020/03/30
Medical treatment  Training  Task analysis  Robot sensing systems  Impedance  Trajectory  Assist as needed (AAN)  challenge level  Gaussian radial basis function (RBF) network  motor capability  rehabilitation robot  upper limb  
A Learning-Based Framework for Error Compensation in 3D Printing 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
作者:  Shen, Zhen;  Shang, Xiuqin;  Zhao, Meihua;  Dong, Xisong;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载:294/0  |  提交时间:2019/12/16
3D printing  additive manufacturing  cyber-physical system (CPS)  deep learning  error compensation  
Towards Real-Time Advancement of Underwater Visual Quality With GAN 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9350-9359
作者:  Chen, Xingyu;  Yu, Junzhi;  Kong, Shihan;  Wu, Zhengxing;  Fang, Xi;  Wen, Li
浏览  |  Adobe PDF(4984Kb)  |  收藏  |  浏览/下载:476/157  |  提交时间:2019/12/16
Generative adversarial networks (GAN) image restoration  machine learning  underwater vision  
Video Highlight Detection via Region-Based Deep Ranking Model 期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 卷号: 33, 期号: 7, 页码: 14
作者:  Jiao, Yifan;  Zhang, Tianzhu;  Huang, Shucheng;  Liu, Bin;  Xu, Changsheng
收藏  |  浏览/下载:288/0  |  提交时间:2019/09/30
Video highlight detection  position-sensitive  fully convolutional network  
Faster-ADNet for Visual Tracking 期刊论文
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2019, 卷号: E102D, 期号: 3, 页码: 684-687
作者:  Zhang, Tiansa;  Huo, Chunlei;  Zhou, Zhiqiang;  Wang, Bo
收藏  |  浏览/下载:213/0  |  提交时间:2019/07/12
visual tracking  deep learning  status re-identification  
Control and Optimization of a Bionic Robotic Fish Through a Combination of CPG model and PSO 期刊论文
NEUROCOMPUTING, 2019, 卷号: 337, 页码: 144-152
作者:  Wang, Ming;  Dong, Huifang;  Li, Xu;  Zhang, Yanlu;  Yu, Junzhi
收藏  |  浏览/下载:358/0  |  提交时间:2019/07/12
Central pattern generator (CPG)  Motion optimization  Bionic robotic fish  Dynamic modeling  PSO  
Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 115, 页码: 16-21
作者:  Min, Xiangde;  Li, Min;  Dong, Di;  Feng, Zhaoyan;  Zhang, Peipei;  Ke, Zan;  You, Huijuan;  Han, Fangfang;  Ma, He;  Tian, Jie;  Wang, Liang
收藏  |  浏览/下载:333/0  |  提交时间:2019/07/12
Magnetic resonance imaging  Prostatic neoplasms  Neoplasm grading  Radiomics  
Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 7, 页码: 3820-3829
作者:  Han, Lu;  Zhu, Yongbei;  Liu, Zhenyu;  Yu, Tao;  He, Cuiju;  Jiang, Wenyan;  Kan, Yangyang;  Dong, Di;  Tian, Jie;  Luo, Yahong
收藏  |  浏览/下载:325/0  |  提交时间:2019/07/11
Breast cancer  Axillary lymph node metastasis  Radiomics  Preoperative prediction  MRI