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Adversarial Learning Guided Task Relatedness Refinement for Multi-Task Deep Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 6946-6957
作者:  Fang, Yuchun;  Cai, Sirui;  Cao, Yiting;  Li, Zhengchen;  Zhang, Zhaoxiang
收藏  |  浏览/下载：56/0  |  提交时间：2024/02/22
Index Terms-Multi-task learning  deep learning  task relatedness  
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：165/22  |  提交时间：2023/11/17
Human parsing  modeling  part-aware relation  
Explicit Cross-Modal Representation Learning for Visual Commonsense Reasoning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2986-2997
作者:  Zhang, Xi;  Zhang, Feifei;  Xu, Changsheng
Adobe PDF(5681Kb)  |  收藏  |  浏览/下载：404/2  |  提交时间：2022/07/25
Cognition  Video recording  Syntactics  Visualization  Task analysis  Semantics  Linguistics  Visual Commonsense Reasoning  explicit reasoning  syntactic structure  interpretability  
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：368/74  |  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  
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：291/0  |  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  
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：171/0  |  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  
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：283/42  |  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：344/67  |  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：353/47  |  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  
Density-Aware Multi-Task Learning for Crowd Counting 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 443-453
作者:  Jiang, Xiaoheng;  Zhang, Li;  Zhang, Tianzhu;  Lv, Pei;  Zhou, Bing;  Pang, Yanwei;  Xu, Mingliang;  Xu, Changsheng
收藏  |  浏览/下载：297/0  |  提交时间：2021/03/08
Task analysis  Semantics  Estimation  Feature extraction  Convolutional neural networks  Cameras  Head  Convolutional neural network  crowd counting  density-level classification  density map estimation  multi-task learning