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Learning Semantic-Aware Spatial-Temporal Attention for Interpretable Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 8, 页码: 5213-5224
作者:  Fu, Jie;  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载：300/0  |  提交时间：2022/09/19
Visualization  Semantics  Task analysis  Three-dimensional displays  Feature extraction  Solid modeling  Predictive models  Semantic-aware  spatial-temporal attention  interpretable  action 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：337/65  |  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  
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：259/0  |  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  
Towards Corruption-Agnostic Robust Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 4, 页码: 16
作者:  Xu, Yifan;  Sheng, Kekai;  Dong, Weiming;  Wu, Baoyuan;  Xu, Changsheng;  Hu, Bao-Gang
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：417/88  |  提交时间：2022/06/10
Domain adaptation  corruption robustness  transfer learning  
Learning to Learn a Cold-start Sequential Recommender 期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2022, 卷号: 40, 期号: 2, 页码: 25
作者:  Huang, Xiaowen;  Sang, Jitao;  Yu, Jian;  Xu, Changsheng
收藏  |  浏览/下载：213/0  |  提交时间：2022/06/06
Cold-start recommendation  meta-learning  graph representation  sequential recommendation  
Learning to Model Relationships for Zero-Shot Video Classification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 10, 页码: 3476-3491
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
收藏  |  浏览/下载：254/0  |  提交时间：2021/11/04
Zero-shot video classification  graph neural networks  zero-shot learning  deep attention model  
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：315/62  |  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：326/45  |  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  
Heterogeneous Community Question Answering via Social-Aware Multi-Modal Co-Attention Convolutional Matching 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2321-2334
作者:  Hu, Jun;  Qian, Shengsheng;  Fang, Quan;  Xu, Changsheng
收藏  |  浏览/下载：237/0  |  提交时间：2021/11/02
Visualization  Semantics  Knowledge discovery  Context modeling  Portable computers  Task analysis  Object detection  Question-answering  attention  multi-modal  social multimedia  
Incremental Concept Learning via Online Generative Memory Recall 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3206-3216
作者:  Li, Huaiyu;  Dong, Weiming;  Hu, Bao-Gang
收藏  |  浏览/下载：285/0  |  提交时间：2021/08/15
Task analysis  Learning systems  Neural networks  Feature extraction  Visualization  Knowledge engineering  Training  Catastrophic forgetting  continual learning  generative adversarial networks (GANs)