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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：255/48  |  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：220/0  |  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  
Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 4285-4296
作者:  Hu, Yufan;  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载：145/0  |  提交时间：2021/12/28
Task analysis  Feature extraction  Training  Testing  Streaming media  Data models  Semantics  Few-shot learning  graph neural networks  video classification  
Emotion Knowledge Driven Video Highlight Detection 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3999-4013
作者:  Qi, Fan;  Yang, Xiaoshan;  Xu, Changsheng
收藏  |  浏览/下载：202/0  |  提交时间：2021/12/28
Visualization  Training data  Predictive models  Training  Semantics  Emotion recognition  Computational modeling  Deep ranking  knowledge graph  video highlight detection  
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：249/0  |  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：312/62  |  提交时间：2021/11/03
Feature extraction  Training  Optimization  Semantics  Recurrent neural networks  Task analysis  Graph neural network  unsupervised learning  video summarization  
Multi-Target Multi-Camera Tracking With Optical-Based Pose Association 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 8, 页码: 3105-3117
作者:  You, Sisi;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载：212/0  |  提交时间：2021/11/02
Target tracking  Trajectory  Cameras  Visualization  Feature extraction  Proposals  Object detection  Multi-target multi-camera tracking  pose estimation  optical flow  pose matching  
HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2335-2346
作者:  Chen, Chaofan;  Qian, Shengsheng;  Fang, Quan;  Xu, Changsheng
收藏  |  浏览/下载：214/0  |  提交时间：2021/11/02
Three-dimensional displays  Feature extraction  Task analysis  Layout  Logic gates  Machine learning  Two dimensional displays  Point cloud segmentation  hierarchical graph pooling  gated graph attention network  
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：321/44  |  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：232/0  |  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