A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment

doi:10.1109/TIP.2020.2991549

	A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment
	Zhang, Feifei 1,2; Zhang, Tianzhu2,3 ; Mao, Qirong 4; Xu, Changsheng2,3,5
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN	1057-7149
	2020
卷号	29 页码:6574-6589
通讯作者	Xu, Changsheng(csxu@nlpr.ia.ac.cn)
摘要	Facial expression recognition, face synthesis, and face alignment are three coherently related tasks and can be solved in a joint framework. To achieve this goal, in this paper, we propose a novel end-to-end deep learning model by exploiting the expression code, geometry code and generated data jointly for simultaneous pose-invariant facial expression recognition, face image synthesis, and face alignment. The proposed deep model enjoys several merits. First, to the best of our knowledge, this is the first work to address these three tasks jointly in a unified deep model to complement and enhance each other. Second, the proposed model can effectively disentangle the global and local identity representation from different expression and geometry codes. As a result, it can automatically generate facial images with different expressions under arbitrary geometry codes. Third, these three tasks can further boost their performance for each other via our model. Extensive experimental results on three standard benchmarks demonstrate that the proposed deep model performs favorably against state-of-the-art methods on the three tasks.
关键词	Face Task analysis Face recognition Geometry Feature extraction Training Generators Facial expression recognition facial image synthesis generative adversarial network facial landmarks
DOI	10.1109/TIP.2020.2991549
关键词[WOS]	GAUSSIAN-PROCESSES ; MULTIVIEW ; POSE
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2017YFB1002804] ; National Natural Science Foundation of China (NSFC)[61720106006] ; National Natural Science Foundation of China (NSFC)[61721004] ; National Natural Science Foundation of China (NSFC)[61832002] ; National Natural Science Foundation of China (NSFC)[61532009] ; National Natural Science Foundation of China (NSFC)[U1705262] ; National Natural Science Foundation of China (NSFC)[U1836220] ; National Natural Science Foundation of China (NSFC)[61702511] ; National Natural Science Foundation of China (NSFC)[61672267] ; National Natural Science Foundation of China (NSFC)[61751211] ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-JSC039] ; National Postdoctoral Program for Innovative Talents[BX20190367]
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China (NSFC) ; Key Research Program of Frontier Sciences, CAS ; National Postdoctoral Program for Innovative Talents
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000545079400015
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	图像视频处理与分析
引用统计	被引频次：24[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40014
专题	多模态人工智能系统全国重点实验室_多媒体计算
通讯作者	Xu, Changsheng
作者单位	1.Jiangsu Univ, Zhenjiang 212000, Jiangsu, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212000, Jiangsu, Peoples R China 5.Peng Cheng Lab, Shenzhen 518066, Peoples R China
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Zhang, Feifei,Zhang, Tianzhu,Mao, Qirong,et al. A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2020,29:6574-6589.
APA	Zhang, Feifei,Zhang, Tianzhu,Mao, Qirong,&Xu, Changsheng.(2020).A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment.IEEE TRANSACTIONS ON IMAGE PROCESSING,29,6574-6589.
MLA	Zhang, Feifei,et al."A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment".IEEE TRANSACTIONS ON IMAGE PROCESSING 29(2020):6574-6589.