CASIA OpenIR

浏览/检索结果: 共9条,第1-9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:176/37  |  提交时间:2022/06/15
Erasing-based Attention Learning for Visual Question Answering 会议论文
, Nice, France, 2019-10
作者:  Liu, Fei;  Liu, Jing;  Hong, Richang;  Lu, Hanqing
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载:154/48  |  提交时间:2022/06/15
Language and Visual Relations Encoding for Visual Question Answering 会议论文
, 中国台湾, 2019-9
作者:  Liu, Fei;  Liu, Jing;  Fang, Zhiwei;  Lu, Hanqing
Adobe PDF(694Kb)  |  收藏  |  浏览/下载:145/54  |  提交时间:2022/06/15
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:327/173  |  提交时间:2022/06/15
Improving Residual Block for Semantic Image Segmentation 会议论文
, 中国西安, 2018-9
作者:  Liu, Fei;  Liu, Jing;  Fu, Jun;  Lu, Hanqing
Adobe PDF(914Kb)  |  收藏  |  浏览/下载:143/52  |  提交时间:2022/06/15
Densely Connected Attention Flow for Visual Question Answering 会议论文
, 中国澳门, 2019-8
作者:  Liu, Fei;  Liu, Jing;  Fang, Zhiwei;  Hong, Richang
Adobe PDF(681Kb)  |  收藏  |  浏览/下载:142/58  |  提交时间:2022/06/14
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:  Liu, Fei;  Liu, Jing;  Hong, Richang;  Lu, Hanqing
Adobe PDF(3550Kb)  |  收藏  |  浏览/下载:318/78  |  提交时间:2022/01/27
video question answering  attention mechanism  metric learning  
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:285/60  |  提交时间:2021/12/28
Visualization  Knowledge discovery  Connectors  Encoding  Task analysis  Image coding  Stacking  Visual question answering  attention  dense interactions  
Structure Preserving Convolutional Attention for Image Captioning 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 14, 页码: 10
作者:  Lu, Shichen;  Hu, Ruimin;  Liu, Jing;  Guo, Longteng;  Zheng, Fei
Adobe PDF(2351Kb)  |  收藏  |  浏览/下载:276/39  |  提交时间:2019/12/16
image captioning  attention  spatial structure  deep learning  computer vision