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Progressive Context-Aware Graph Feature Learning for Target Re-Identification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1230-1242
作者:  Cao, Min;  Ding, Cong;  Chen, Chen;  Dou, Hao;  Hu, Xiyuan;  Yan, Junchi
收藏  |  浏览/下载：121/0  |  提交时间：2023/11/16
Target re-identification  graph convolutional network  feature learning  contextual information  graph feature learning  
Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2273-2286
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyun;  Xu, Changsheng
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：322/62  |  提交时间：2022/07/25
Videos  Feature extraction  Visualization  Task analysis  Computational modeling  Target recognition  Prototypes  Egocentric videos  exocentric videos  holographic feature  multi-domain  action recognition  
The Model May Fit You: User-Generalized Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 24, 页码: 2998-3012
作者:  Ma, Xinhong;  Yang, Xiaoshan;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(6549Kb)  |  收藏  |  浏览/下载：252/48  |  提交时间：2022/06/17
cross-modal retrieval  domain generalization  meta-learning  
Multi-Modal Meta Multi-Task Learning for Social Media Rumor Detection 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1449-1459
作者:  Zhang, Huaiwen;  Qian, Shengsheng;  Fang, Quan;  Xu, Changsheng
收藏  |  浏览/下载：252/0  |  提交时间：2022/06/10
Task analysis  Social networking (online)  Feature extraction  Learning systems  Semantics  Media  Blogs  Meta learning  multi-modal  multi-task learning  rumor detection  social media  
Domain-Oriented Semantic Embedding for Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3919-3930
作者:  Min, Shaobo;  Yao, Hantao;  Xie, Hongtao;  Zha, Zheng-Jun;  Zhang, Yongdong
收藏  |  浏览/下载：239/0  |  提交时间：2021/12/28
Semantics  Visualization  Image recognition  Image reconstruction  Training  Gallium nitride  Search problems  Zero-shot learning  multi-modality embedding  recognition  
Visual Question Answering With Dense Inter- and Intra-Modality Interactions 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3518-3529
作者:  Liu, Fei;  Liu, Jing;  Fang, Zhiwei;  Hong, Richang;  Lu, Hanqing
Adobe PDF(2891Kb)  |  收藏  |  浏览/下载：278/59  |  提交时间：2021/12/28
Visualization  Knowledge discovery  Connectors  Encoding  Task analysis  Image coding  Stacking  Visual question answering  attention  dense interactions  
Unsupervised Video Summarization via Relation-Aware Assignment Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3203-3214
作者:  Gao, Junyu;  Yang, Xiaoshan;  Zhang, Yingying;  Xu, Changsheng
Adobe PDF(3649Kb)  |  收藏  |  浏览/下载：309/62  |  提交时间：2021/11/03
Feature extraction  Training  Optimization  Semantics  Recurrent neural networks  Task analysis  Graph neural network  unsupervised learning  video summarization  
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：319/44  |  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  
Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2019-2032
作者:  Sang, Lei;  Xu, Min;  Qian, Shengsheng;  Martin, Matt;  Li, Peter;  Wu, Xindong
收藏  |  浏览/下载：154/0  |  提交时间：2021/08/15
Semantics  Collaboration  YouTube  Australia  Visualization  Context modeling  Video recommendation  context-dependent propagating  Heterogeneous Information Network (HIN)  Network embedding  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
作者:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  收藏  |  浏览/下载：287/55  |  提交时间：2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning