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Everybody’s Talkin’: Let Me Talk as You Want 期刊论文
IEEE Transactions on Information Forensics and Security, 2022, 卷号: 17, 期号: 1, 页码: 585 - 598
作者:  宋林森;  吴文岩;  钱晨;  赫然;  Loy, Chen Change
Adobe PDF(15432Kb)  |  收藏  |  浏览/下载：108/16  |  提交时间：2023/06/29
Talking face generation  Video generation  GAN  Audio dubbing  
Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Semantic Decoding 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 24, 页码: 3287-3299
作者:  Dan Li;  Changde Du;  Haibao Wang;  Qiongyi Zhou;  Huiguang He
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载：286/91  |  提交时间：2023/01/17
Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3224-3235
作者:  Tan, Zichang;  Liu, Ajian;  Wan, Jun;  Liu, Hao;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(10124Kb)  |  收藏  |  浏览/下载：299/8  |  提交时间：2022/07/25
Face recognition  Training  Measurement  Graphics processing units  Deep learning  Logic gates  Feature extraction  Face recognition  ID vs spot  deep learning  cross-batch hard example mining  pseudo large batch  
Weakly-Supervised Facial Expression Recognition in the Wild With Noisy Data 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1800-1814
作者:  Zhang, Feifei;  Xu, Mingliang;  Xu, Changsheng
收藏  |  浏览/下载：273/0  |  提交时间：2022/06/10
Noise measurement  Face recognition  Data models  Task analysis  Training data  Training  Annotations  Facial expression recognition  noisy labeled data  clean labels  end-to-end  pose modeling  noise modeling  
Joint Expression Synthesis and Representation Learning for Facial Expression Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 3, 页码: 1681-1695
作者:  Zhang, Xi;  Zhang, Feifei;  Xu, Changsheng
Adobe PDF(4827Kb)  |  收藏  |  浏览/下载：277/6  |  提交时间：2022/06/06
Face recognition  Task analysis  Generative adversarial networks  Image synthesis  Image recognition  Faces  Training  Facial expression recognition  facial image synthesis  generative adversarial network  representation learning