A deep variational autoencoder approach for robust facial symmetrization | |
Wang, Ting; Zhang, Shu; Dong, Junyu; Liang, Yongquan | |
刊名 | British Machine Vision Conference 2018, BMVC 2018 |
2019 | |
关键词 | Facial symmetry Multi-stage training Variational autoencoder |
会议名称 | 29th British Machine Vision Conference, BMVC 2018 |
URL标识 | 查看原文 |
会议日期 | 3 September 2018 through 6 September 2018 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4556548 |
专题 | 山东大学 |
作者单位 | 1.Shandong University of Science and Technology, Qingdao, China 2.Ocean University of China, Qin |
推荐引用方式 GB/T 7714 | Wang, Ting,Zhang, Shu,Dong, Junyu,et al. A deep variational autoencoder approach for robust facial symmetrization[J]. British Machine Vision Conference 2018, BMVC 2018,2019. |
APA | Wang, Ting,Zhang, Shu,Dong, Junyu,&Liang, Yongquan.(2019).A deep variational autoencoder approach for robust facial symmetrization.British Machine Vision Conference 2018, BMVC 2018. |
MLA | Wang, Ting,et al."A deep variational autoencoder approach for robust facial symmetrization".British Machine Vision Conference 2018, BMVC 2018 (2019). |
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