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Urban scene based Semantical Modulation for Pedestrian Detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 474, 页码: 1-12
作者:  Jiang, Hangzhi;  Liao, Shengcai;  Li, Jinpeng;  Prinet, Veronique;  Xiang, Shiming
收藏  |  浏览/下载：195/0  |  提交时间：2022/06/06
Pedestrian detection  Semantic context  Urban scene  
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 14
作者:  Fang, Shen;  Prinet, Veronique;  Chang, Jianlong;  Werman, Michael;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：227/0  |  提交时间：2022/01/27
Feature extraction  Convolution  Predictive models  Data models  Correlation  Roads  Kernel  Graph convolution  deep attention mechanism  traffic network  traffic flow prediction  artificial intelligence  deep learning  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：458/108  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 12, 页码: 7369-7387
作者:  Xu, Shibiao;  Pan, Xingjia;  Li, Er;  Wu, Baoyuan;  Bu, Shuhui;  Dong, Weiming;  Xiang, Shiming;  Zhang, Xiaopeng
Adobe PDF(30927Kb)  |  收藏  |  浏览/下载：431/35  |  提交时间：2019/07/12
High-order conditional random field (CRF)  multilevel segmentation  RGB-D priors  rooftop extraction  
Semantic labeling in very high resolution images via a self-cascaded convolutional neural network 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 145, 期号: 1, 页码: 78-95
作者:  Liu, Yongcheng;  Fan, Bin;  Wang, Lingfeng;  Bai, Jun;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1679Kb)  |  收藏  |  浏览/下载：492/102  |  提交时间：2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end