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CASIA OpenIR
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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：190/60  |  提交时间：2023/06/12
Food recommendation  recipe calories  heterogeneous graph  selfsupervised 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：348/69  |  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：266/50  |  提交时间：2022/06/17
cross-modal retrieval  domain generalization  meta-learning  
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：296/40  |  提交时间：2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning  
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：309/56  |  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  
Self-Supervised Feature Augmentation for Large Image Object Detection 期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 0, 页码: 6745-6758
作者:  Pan, Xingjia;  Tang, Fan;  Dong, Weiming;  Gu, Yang;  Song, Zhichao;  Meng, Yiping;  Xu, Pengfei;  Oliver, Deussen;  Xu, Changsheng
浏览  |  Adobe PDF(5411Kb)  |  收藏  |  浏览/下载：303/69  |  提交时间：2020/12/21
object detection  large image  self-supervise  feature augmentation  
Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications(TOMM), 2020, 卷号: 16, 期号: 2, 页码: 1-24
作者:  Huang, Xiaowen;  Qian, Shengsheng;  Fang, Quan;  Sang, Jitao;  Xu, Changsheng
浏览  |  Adobe PDF(2250Kb)  |  收藏  |  浏览/下载：339/109  |  提交时间：2020/06/11
user modeling  sequential recommendation  self-attention  co-attention  meta-path  heterogenous information 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：352/44  |  提交时间：2019/12/16
Unsupervised domain adaptation  triplet loss  stacked attention  multi-modality  social event recognition  
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
浏览  |  Adobe PDF(2281Kb)  |  收藏  |  浏览/下载：521/143  |  提交时间：2018/02/07
Multimedia Storytelling  Video Analysis  Deep Learning  
Cross-media analysis and reasoning: advances and directions 期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2017, 卷号: 18, 期号: 1, 页码: 44-57
作者:  Peng, Yu-xin;  Zhu, Wen-wu;  Zhao, Yao;  Xu, Chang-sheng;  Huang, Qing-ming;  Lu, Han-qing;  Zheng, Qing-hua;  Huang, Tie-jun;  Gao, Wen
Adobe PDF(981Kb)  |  收藏  |  浏览/下载：398/102  |  提交时间：2017/05/05
Cross-media Analysis  Cross-media Reasoning  Cross-media Applications