CASIA OpenIR
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Feature Disentanglement Network: Multi-Object Tracking Needs More Differentiated Features 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 3, 页码: 22
作者:  Guo, Wen;  Quan, Wuzhou;  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
收藏  |  浏览/下载:47/0  |  提交时间:2024/03/26
Multiple object tracking  Feature disentanglement network  one-shot tracking  feature enhancement  
Learning Hierarchical Video Graph Networks for One-Stop Video Delivery 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2022, 卷号: 18, 期号: 1, 页码: 1-23
作者:  Song, Yaguang;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(7608Kb)  |  收藏  |  浏览/下载:154/46  |  提交时间:2023/04/25
Cross modal  video retrieval  deep learning  graph neural networks  
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:259/39  |  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  
Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2386-2397
作者:  Wang, Wei;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载:332/45  |  提交时间:2021/11/02
Feature extraction  Encoding  Task analysis  Semantics  Data models  Cognition  Focusing  Video-text retrieval  graph neural network  coarse-to-fine strategy  
Part-based Structured Representation Learning for Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 22
作者:  Li, Yaoyu;  Yao, Hantao;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(19052Kb)  |  收藏  |  浏览/下载:293/42  |  提交时间:2021/03/08
Person re-identification  representation learning  graph convolutional network  
Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 9, 页码: 2419-2431
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载:348/43  |  提交时间:2019/12/16
Unsupervised domain adaptation  triplet loss  stacked attention  multi-modality  social event recognition  
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:325/95  |  提交时间:2019/09/25
Social Event Tracking  Topic Model  Social Media  Topic Evolution  Multimodality  
Discriminative Multimodal Embedding for Event Classication 期刊论文
Journal of Nerual Computing, 2017, 卷号: Volume, 期号: Issue, 页码: pp
作者:  Qi,Fan;  Yang,Xiaoshan;  Zhang,Tianzhu;  Xu,Changsheng
Adobe PDF(4696Kb)  |  收藏  |  浏览/下载:315/97  |  提交时间:2018/10/10
Event Classi cation  Multimodal Embedding  
Text2Video: An End-to-end Learning Framework for Expressing Text With Videos 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 9, 页码: 2360-2370
作者:  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(2281Kb)  |  收藏  |  浏览/下载:516/142  |  提交时间:2018/02/07
Multimedia Storytelling  Video Analysis  Deep Learning  
Deep Structured Event Modeling for User-Generated Photos 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 8, 页码: 2100-2113
作者:  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(1164Kb)  |  收藏  |  浏览/下载:378/86  |  提交时间:2018/01/03
Event Analysis  Unusual Event Detection  Deep Learning