CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering 会议论文
, 线上, 2021-10
作者:  Liu, Fei;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(1174Kb)  |  收藏  |  浏览/下载:171/35  |  提交时间:2022/06/15
Visual Question Answering With Dense Inter- and Intra-Modality Interactions 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3518-3529
作者:  Liu, Fei;  Liu, Jing;  Fang, Zhiwei;  Hong, Richang;  Lu, Hanqing
Adobe PDF(2891Kb)  |  收藏  |  浏览/下载:262/58  |  提交时间:2021/12/28
Visualization  Knowledge discovery  Connectors  Encoding  Task analysis  Image coding  Stacking  Visual question answering  attention  dense interactions  
Dual Hierarchical Temporal Convolutional Network with QA-Aware Dynamic Normalization for Video Story Question Answering 会议论文
, 线上, 2020-10
作者:  Liu, Fei;  Liu, Jing;  Zhu, Xinxin;  Hong, Richang;  Lu, Hanqing
Adobe PDF(2797Kb)  |  收藏  |  浏览/下载:315/171  |  提交时间:2022/06/15
Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition 会议论文
, 线上, 2020-8
作者:  Ke Cheng;  Yifan Zhang;  Congqi Cao;  Lei Shi;  Jian Cheng;  Hanqing Lu
Adobe PDF(2350Kb)  |  收藏  |  浏览/下载:162/46  |  提交时间:2022/06/27
skeleton-based action recognition, decoupling GCN, DropGraph  
How friends affect user behaviors? An exploration of social relation analysis for recommendation 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2015, 卷号: 88, 期号: 1, 页码: 70-84
作者:  Yuan, Ting;  Cheng, Jian;  Zhang, Xi;  Liu, Qingshan;  Lu, Hanqing
浏览  |  Adobe PDF(1494Kb)  |  收藏  |  浏览/下载:371/101  |  提交时间:2015/11/12
Recommender Systems  Social Recommendation  Social Relation Analysis  
Partially Shared Latent Factor Learning With Multiview Data 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 6, 页码: 1233-1246
作者:  Liu, Jing;  Jiang, Yu;  Li, Zechao;  Zhou, Zhi-Hua;  Lu, Hanqing
浏览  |  Adobe PDF(2872Kb)  |  收藏  |  浏览/下载:586/261  |  提交时间:2015/09/17
Complementarity  Consistency  Latent Factor Learning  Multiview Learning  Nonnegative Matrix Factorization (Nmf)  Semisupervised Learning