CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共47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:30/0  |  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  
Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023, 卷号: 19, 期号: 1s, 页码: 1-23
作者:  Song, Yaguang;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(1381Kb)  |  收藏  |  浏览/下载:186/60  |  提交时间:2023/06/12
Food recommendation  recipe calories  heterogeneous graph  selfsupervised learning  
Recovering Generalization via Pre-training-like Knowledge Distillation for Out-of-Distribution Visual Question Answering 期刊论文
IEEE Transactions on Multimedia, 2023, 页码: 1-15
作者:  Song, Yaguang;  Yang, Xiaoshan;  Wang, Yaowei;  Xu, Changsheng
Adobe PDF(2397Kb)  |  收藏  |  浏览/下载:177/47  |  提交时间:2023/06/12
Multi-modal Foundation Model  Out-of-Distribution Generalization  Visual Question Answering  Knowledge Distillation  
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:152/45  |  提交时间:2023/04/25
Cross modal  video retrieval  deep learning  graph neural networks  
Weakly-Supervised Video Object Grounding Via Learning Uni-Modal Associations 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 25, 页码: 1-12
作者:  Wang, Wei;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(5406Kb)  |  收藏  |  浏览/下载:109/32  |  提交时间:2023/04/25
Visualization  Grounding  Task analysis  Prototypes  Annotations  Uncertainty  Proposals  Cross-modal retrieval  weakly-supervised learning  video object grounding  uni-modal association  
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:263/49  |  提交时间:2022/06/17
cross-modal retrieval  domain generalization  meta-learning  
Active Universal Domain Adaptation 会议论文
2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, 11-17 October 2019
作者:  Ma, Xinhong;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(2052Kb)  |  收藏  |  浏览/下载:230/57  |  提交时间:2022/06/17
Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1020-1030
作者:  Zuo, Yukun;  Yao, Hantao;  Zhuang, Liansheng;  Xu, Changsheng
收藏  |  浏览/下载:224/0  |  提交时间:2022/06/06
Noise measurement  Adaptation models  Predictive models  Reliability  Task analysis  Standards  Data models  Noisy domain adaptation  Seek common ground component  Reserve differences component  
Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 805-818
作者:  Cai, Desheng;  Qian, Shengsheng;  Fang, Quan;  Xu, Changsheng
收藏  |  浏览/下载:274/0  |  提交时间:2022/06/06
Graph neural networks  Task analysis  Semantics  Aggregates  Data structures  Collaboration  Visualization  Heterogeneous graph  micro-video recommendation  multi-modal  
Transformers in computational visual media: A survey 期刊论文
Computational Visual Media, 2021, 卷号: 8, 期号: 1, 页码: 33-62
作者:  Xu,Yifan;  Wei,Huapeng;  Lin,Minxuan;  Deng,Yingying;  Sheng,Kekai;  Zhang,Mengdan;  Tang,Fan;  Dong,Weiming;  Huang,Feiyue;  Xu,Changsheng
Adobe PDF(5366Kb)  |  收藏  |  浏览/下载:287/37  |  提交时间:2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning