CASIA OpenIR

浏览/检索结果: 共48条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
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:152/18  |  提交时间:2023/11/17
Human parsing  modeling  part-aware relation  
A Two-Level Rectification Attention Network for Scene Text Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 2404-2414
作者:  Wu, Lintai;  Xu, Yong;  Hou, Junhui;  Chen, C. L. Philip;  Liu, Cheng-Lin
收藏  |  浏览/下载:63/0  |  提交时间:2023/11/17
Scene text recognition  text rectification  spatial transformer network  optical character recognition  
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:360/72  |  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:276/53  |  提交时间:2022/06/17
cross-modal retrieval  domain generalization  meta-learning  
Single-Image Specular Highlight Removal via Real-World Dataset Construction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 页码: 12
作者:  Wu ZQ(吴仲琦);  Zhuang CQ(庄传青);  Shi J(石剑);  Guo JW(郭建伟);  Xiao J(肖俊);  Zhang XP(张晓鹏);  Yan DM(严冬明)
Adobe PDF(49307Kb)  |  收藏  |  浏览/下载:255/97  |  提交时间:2022/06/15
Specular highlight removal, PSD-Dataset, Deep learning  
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1933-1942
作者:  Yao, Hantao;  Min, Shaobo;  Zhang, Yongdong;  Xu, Changsheng
收藏  |  浏览/下载:229/0  |  提交时间:2022/06/10
Semantics  Visualization  Bridges  Training  Knowledge transfer  Image recognition  Topology  Transductive Zero-Shot Learning  Graph Attribute Embedding  Attribute-Induced Bias Eliminating  Semantic-Visual Alignment  
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:263/0  |  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  
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:275/40  |  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  
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:334/65  |  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:344/46  |  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