中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共10条，第1-10条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
Exploring the Representativity of Art Paintings 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2794-2805
作者:  Deng, Yingying;  Tang, Fan;  Dong, Weiming;  Ma, Chongyang;  Huang, Feiyue;  Deussen, Oliver;  Xu, Changsheng
Adobe PDF(5313Kb)  |  收藏  |  浏览/下载：263/39  |  提交时间：2021/11/03
Painting  Art  Image color analysis  Feature extraction  Task analysis  Engineering profession  Electronic mail  Representativity  style enhancement  feature representation  artwork evaluation  
Online Multimodal Multiexpert Learning for Social Event Tracking 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 10, 页码: 2733-2748
作者:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu
浏览  |  Adobe PDF(4742Kb)  |  收藏  |  浏览/下载：330/96  |  提交时间：2019/09/25
Social Event Tracking  Topic Model  Social Media  Topic Evolution  Multimodality  
Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 8, 页码: 2196-2208
作者:  Fan, Yang-Yu;  Liu, Shu;  Li, Bo;  Guo, Zhe;  Samal, Ashok;  Wan, Jun;  Li, Stan Z.
浏览  |  Adobe PDF(1377Kb)  |  收藏  |  浏览/下载：369/74  |  提交时间：2018/01/04
Facial attractiveness computation  deep residual network  label distribution  feature fusion  SCUT-FBP  
Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 6, 页码: 1062-1076
作者:  Wu, Ou;  Zuo, Haiqiang;  Hu, Weiming;  Li, Bing;  Ou Wu
浏览  |  Adobe PDF(757Kb)  |  收藏  |  浏览/下载：525/178  |  提交时间：2016/10/20
Aesthetic Features  Fusion  Local Features  Multitask Learning  Visual Aesthetics  Web Pages  
Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 8, 页码: 1616-1627
作者:  Ding, Xinmiao;  Li, Bing;  Xiong, Weihua;  Guo, Wen;  Hu, Weiming;  Wang, Bo
Adobe PDF(549Kb)  |  收藏  |  浏览/下载：452/151  |  提交时间：2016/10/20
Image Annotation  Instance Context  Label Context  Multi-instance  Multi-label  
Cross-Domain Feature Learning in Multimedia 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 1, 页码: 64-78
作者:  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng;  Xu CS(徐常胜)
浏览  |  Adobe PDF(3097Kb)  |  收藏  |  浏览/下载：379/98  |  提交时间：2016/06/27
Cross-domain  Deep Learning  Feature Learning  Multi-modal  
Multi-Modal Event Topic Model for Social Event Analysis 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 2, 页码: 233-246
作者:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu;  Jie Shao
浏览  |  Adobe PDF(3335Kb)  |  收藏  |  浏览/下载：646/250  |  提交时间：2016/03/19
Event Evolution  Multi-modality  Social Event Tracking  Social Media  Topic Model  
Multi-Perspective Cost-Sensitive Context-Aware Multi-Instance Sparse Coding and Its Application to Sensitive Video Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 1, 页码: 76-89
作者:  Hu, Weiming;  Ding, Xinmiao;  Li, Bing;  Wang, Jianchao;  Gao, Yan;  Wang, Fangshi;  Maybank, Stephen
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载：422/95  |  提交时间：2016/03/19
Cost-sensitive Context-aware Multi-instance Sparse Coding (Mi-sc)  Horror Video Recognition  Multi-perspective Multi-instance Joint Sparse Coding (Mi-j-sc)  Video Emotional Feature Extraction  Violent Video Recognition  
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
Adobe PDF(2326Kb)  |  收藏  |  浏览/下载：513/196  |  提交时间：2015/09/21
Cross-modal Matching  Documents And Images  Multimedia  Retrieval  
Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2014, 卷号: 16, 期号: 3, 页码: 796-812
作者:  Fang, Quan;  Sang, Jitao;  Xu, Changsheng;  Rui, Yong
Adobe PDF(3238Kb)  |  收藏  |  浏览/下载：434/204  |  提交时间：2015/08/12
Hypergraph Learning  Influencer Mining  Topic Modeling