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Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2580-2594
作者:  Yun, Xiao-Long;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(3236Kb)  |  收藏  |  浏览/下载：314/3  |  提交时间：2022/07/25
Handwriting recognition  Task analysis  Grammar  Semantics  Image segmentation  Trajectory  Text recognition  Online handwritten diagram recognition  symbol segmentation  symbol recognition  freehand sketch analysis  graph neural networks  
Cross-Domain Collaborative Learning via Discriminative Non-parametric Bayesian Mode 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 8, 页码: 2086-2099
作者:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu
浏览  |  Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：424/121  |  提交时间：2018/02/07
Social Media  discriminative non-parametric Bayesian model  multi-modality  
Cross-Modal Retrieval via Deep and Bidirectional Representation Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 7, 页码: 1363-1377
作者:  He, Yonghao;  Xiang, Shiming;  Kang, Cuicui;  Wang, Jian;  Pan, Chunhong;  Xiang,Shiming
浏览  |  Adobe PDF(11388Kb)  |  收藏  |  浏览/下载：508/138  |  提交时间：2016/06/22
Bidirectional Modeling  Convolutional Neural Network  Cross-modal Retrieval  Representation Learning  Word Embedding  
YouTube Video Promotion by Cross-Network Association: @Britney to Advertise Gangnam Style 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 8, 页码: 1248-1261
作者:  Yan, Ming;  Sang, Jitao;  Xu, Changsheng;  Hossain, M. Shamim
Adobe PDF(2326Kb)  |  收藏  |  浏览/下载：262/51  |  提交时间：2015/09/23
Cross-network Analysis  Social Media  Video Promotion  
Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 3, 页码: 370-381
作者:  Kang, Cuicui;  Xiang, Shiming;  Liao, Shengcai;  Xu, Changsheng;  Pan, Chunhong
浏览  |  Adobe PDF(2326Kb)  |  收藏  |  浏览/下载：525/198  |  提交时间：2015/09/21
Cross-modal Matching  Documents And Images  Multimedia  Retrieval