CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
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  
Tell, Imagine, and Search: End-to-end Learning for Composing Text and Image to Image Retrieval 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 2, 页码: 23
作者:  Zhang, Feifei;  Xu, Mingliang;  Xu, Changsheng
收藏  |  浏览/下载:216/0  |  提交时间:2022/06/10
Composing text and image to image retrieval  end-to-end  image generation  generative adversarial network  global-local  
Towards a multimodal human activity dataset for healthcare 期刊论文
MULTIMEDIA SYSTEMS, 2022, 页码: 13
作者:  Hu, Menghao;  Luo, Mingxuan;  Huang, Menghua;  Meng, Wenhua;  Xiong, Baochen;  Yang, Xiaoshan;  Sang, Jitao
收藏  |  浏览/下载:217/0  |  提交时间:2022/06/06
Human activity recognition  Multimodal fusion  Wearable devices  Healthcare  
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:205/0  |  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  
Knowledge-driven Egocentric Multimodal Activity Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 21
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyu;  Sang, Jitao;  Xu, Changsheng
Adobe PDF(1875Kb)  |  收藏  |  浏览/下载:368/49  |  提交时间:2021/03/08
Egocentric videos  wearable sensors  graph neural networks