CASIA OpenIR

浏览/检索结果: 共30条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Dual Structural Knowledge Interaction for Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 9057-9070
作者:  Zuo, Yukun;  Yao, Hantao;  Zhuang, Liansheng;  Xu, Changsheng
收藏  |  浏览/下载:15/0  |  提交时间:2024/02/21
Manifolds  Feature extraction  Adaptation models  Representation learning  Task analysis  Semisupervised learning  Pattern recognition  Domain adaptation  structural knowledge  dual structural knowledge interaction  
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:310/62  |  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  
Human Parsing With Part-Aware Relation Modeling 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 25, 页码: 2601-2612
作者:  Zhang, Xiaomei;  Chen, Yingying;  Tang, Ming;  Wang, Jinqiao;  Zhu, Xiangyu;  Lei, Zhen
Adobe PDF(6053Kb)  |  收藏  |  浏览/下载:104/6  |  提交时间:2023/11/17
Human parsing  modeling  part-aware relation  
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:239/46  |  提交时间:2022/06/17
cross-modal retrieval  domain generalization  meta-learning  
Multimodal Disentangled Domain Adaption for Social Media Event Rumor Detection 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 4441-4454
作者:  Zhang, Huaiwen;  Qian, Shengsheng;  Fang, Quan;  Xu, Changsheng
收藏  |  浏览/下载:205/0  |  提交时间:2022/01/27
Social networking (online)  Feature extraction  Task analysis  Adaptation models  Writing  Visualization  Training  Disentanglement representation learning  domain adaptation  event rumor detection  social media  
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:263/58  |  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:295/60  |  提交时间:2021/11/03
Feature extraction  Training  Optimization  Semantics  Recurrent neural networks  Task analysis  Graph neural network  unsupervised learning  video summarization  
Multi-Level Correlation Adversarial Hashing for Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3101-3114
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(4322Kb)  |  收藏  |  浏览/下载:278/53  |  提交时间:2021/03/01
Semantics  Correlation  Aircraft propulsion  Deep learning  Bridges  Aircraft  Task analysis  Cross-modal retrieval  adversarial hashing  multi-level correlation  
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:276/54  |  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  
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 2, 页码: 380-393
作者:  Zhang, Shifeng;  Xie, Yiliang;  Wan, Jun;  Xia, Hansheng;  Li, Stan Z.;  Guo, Guodong
浏览  |  Adobe PDF(6651Kb)  |  收藏  |  浏览/下载:301/52  |  提交时间:2020/04/07
Benchmark testing  Detectors  Training  Urban areas  Cameras  Task analysis  Deep learning  Pedestrian detection  dataset  rich diversity  high density