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CASIA OpenIR
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Multi-modal spatio-temporal meteorological forecasting with deep neural network 期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14
作者:  Xinbang Zhang;  Qizhao Jin;  Tingzhao Yu;  Shiming Xiang;  Qiuming Kuang;  Véronique Prinet;  Chunhong Pan
Adobe PDF(3735Kb)  |  收藏  |  浏览/下载：279/67  |  提交时间：2022/07/01
Meterological forecasting  Deep learning  Neural architecture search  AutoML  
Decoupled Representation Learning for Character Glyph Synthesis 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 2021, 期号: 2021, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng Meng;  Jianlong Chang;  Ruiguang Hu;  Shiming Xiang;  Chunhong Pan
Adobe PDF(4588Kb)  |  收藏  |  浏览/下载：174/45  |  提交时间：2022/01/24
Character glyph synthesis  Decoupled representation  generative adversarial networks  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：387/85  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
Baselines Extraction from Curved Document Images via Slope Fields Recovery 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 793-808
作者:  Meng, Gaofeng;  Pan, Chunhong;  Xiang, Shiming;  Wu, Ying
浏览  |  Adobe PDF(15645Kb)  |  收藏  |  浏览/下载：213/45  |  提交时间：2020/06/02
Estimation  Image segmentation  Layout  Distortion  Strips  Image quality  Degradation  Document image processing  curved baselines extraction  slope fields recovery  geometric distortion rectification  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
浏览  |  Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：314/69  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
Weakly Semantic Guided Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2504-2517
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Da, Cheng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(18774Kb)  |  收藏  |  浏览/下载：416/108  |  提交时间：2019/05/15
Semantic guided module  action recognition  cross domain  3D convolution  attention model  
Deep unsupervised learning with consistent inference of latent representations 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 77, 期号: 5, 页码: 438-453
作者:  Chang, Jianlong;  Wang, Lingfeng;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2654Kb)  |  收藏  |  浏览/下载：436/167  |  提交时间：2018/01/16
Deep Unsupervised Learning  Consistent Inference Of Latent Representations  
Joint spatial temporal attention for action recognition 期刊论文
Pattern Recognition Letters, 2018, 期号: 112, 页码: 226-233
作者:  Tingzhao Yu;  Chaoxu Guo;  Lingfeng Wang;  Huxiang Gu;  Shiming Xiang;  Chunhong Pan
浏览  |  Adobe PDF(1133Kb)  |  收藏  |  浏览/下载：404/181  |  提交时间：2019/05/06
Action Recognition  Spatial-temporal Attention  Two-stage  
Aggregating Rich Hierarchical Features for Scene Classification in Remote Sensing Imagery 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 9, 页码: 4104-4115
作者:  Wang, Guoli;  Fan, Bin;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(878Kb)  |  收藏  |  浏览/下载：507/213  |  提交时间：2017/05/09
Convolutional Neural Networks (Cnns)  Mixed-resolution Representation  Remote Sensing Scene Classification  Vector Of Locally Aggregated Descriptors (Vlad)  
Image tag-ranking via pairwise supervision based semi-supervised model 期刊论文
NEUROCOMPUTING, 2015, 卷号: 167, 页码: 614-624
作者:  He, Yonghao;  Kang, Cuicui;  Wang, Jian;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1512Kb)  |  收藏  |  浏览/下载：349/114  |  提交时间：2015/09/23
Image Tag-ranking  Pairwise Supervision  Learning To Rank