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Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching 会议论文
, 中国，北京, 2018-8-20
作者:  Zhou, Zongwei;  Xing, Junliang;  Zhang, Mengdan;  Hu, Weiming
Adobe PDF(1971Kb)  |  收藏  |  浏览/下载：189/45  |  提交时间：2021/06/23
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation 期刊论文
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018, 期号: no, 页码: no
作者:  Qiang Cui;  Shu Wu;  Qiang Liu;  Wen Zhong;  Liang Wang
浏览  |  Adobe PDF(979Kb)  |  收藏  |  浏览/下载：279/43  |  提交时间：2019/05/09
Multi-view  Sequential Recommendation  Recurrent Neural Network  Cold Start  
LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 9, 页码: 4274-4286
作者:  Wang, Yunlong;  Liu, Fei;  Zhang, Kunbo;  Hou, Guangqi;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4648Kb)  |  收藏  |  浏览/下载：342/24  |  提交时间：2018/10/10
Implicitly Multi-scale Fusion  Bidirectional Recurrent Convolutional Neural Network  Light-field  Super-resolution  
Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition 期刊论文
COGNITIVE COMPUTATION, 2018, 卷号: 10, 期号: 2, 页码: 368-380
作者:  Li, Jinpeng;  Zhang, Zhaoxiang;  He, Huiguang
Adobe PDF(1800Kb)  |  收藏  |  浏览/下载：522/238  |  提交时间：2018/08/07
Affective Brain-computer Interface  Emotion Recognition  Brain Wave  Deep Learning  Eeg  
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification 期刊论文
IEEE Transactions on Information Forensics and Security, 2018, 卷号: 13, 期号: 3, 页码: 637-647
作者:  Shu Zhang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(3012Kb)  |  收藏  |  浏览/下载：485/139  |  提交时间：2018/01/03
Meshface  Face Verification  Blind Inpainting  Deep Learning  Demeshnet  Spatial Transformer  
Video Super-Resolution via Bidirectional Recurrent Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 1015-1028
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
浏览  |  Adobe PDF(10250Kb)  |  收藏  |  浏览/下载：781/294  |  提交时间：2017/06/19
Deep Learning  Recurrent Neural Networks  3d Convolution  Video Super-resolution