A Fully End-to-End Cascaded CNN for Facial Landmark Detection

Article Details
Title:	A Fully End-to-End Cascaded CNN for Facial Landmark Detection
Article URLs:	https://doi.org/10.1109/FG.2017.33 http://doi.ieeecomputersociety.org/10.1109/FG.2017.33
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Authors:	Zhenliang He	Chinese Academy of Sciences, Key Lab of Intelligent Information Processing Chinese Academy of Sciences, Institute of Computing Technology University of Chinese Academy of Sciences
	Meina Kan	Chinese Academy of Sciences, Key Lab of Intelligent Information Processing Chinese Academy of Sciences, Institute of Computing Technology Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology
	Jie Zhang	Chinese Academy of Sciences, Key Lab of Intelligent Information Processing Chinese Academy of Sciences, Institute of Computing Technology University of Chinese Academy of Sciences
	Xilin Chen	Chinese Academy of Sciences, Key Lab of Intelligent Information Processing Chinese Academy of Sciences, Institute of Computing Technology
	Shiguang Shan	Chinese Academy of Sciences, Key Lab of Intelligent Information Processing Chinese Academy of Sciences, Institute of Computing Technology Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology
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DBLP Key:	conf/fgr/HeKZCS17
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IEEE Face and Gesture Recognition, FG 2017