Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Wen-Fong Huang"'
Publikováno v:
IEEE Access, Vol 8, Pp 6032-6044 (2020)
We propose the Edge-Embedded Multi-Dropout (EEMD) framework for real-time face alignment. The EEMD framework extracts facial edge features and explores multiple dropout architecture for locating facial landmarks. It consists of two major component ne
Externí odkaz:
https://doaj.org/article/234a0c3c6cd5423b970326ac265a292f
Publikováno v:
IEEE Access, Vol 7, Pp 4833-4842 (2019)
We propose the deep hierarchical network (DHN) for the quantitative analysis of facial palsy. Facial palsy, also known as Bell’s palsy, is the most common type of facial nerve palsy that results in the loss of muscle control in the affected facial
Externí odkaz:
https://doaj.org/article/56f84042435b4d51a2d2b880942eb3f0
Autor:
Wen-Fong Huang, 黃文鋒
106
We propose the Hybrid Convolutional Neural Network (HCNN) for facial landmark detection. The HCNN considers the hierarchical facial features extracted from the multiple convolutional layers in a pre-trained VGG network, and exploits these hi
We propose the Hybrid Convolutional Neural Network (HCNN) for facial landmark detection. The HCNN considers the hierarchical facial features extracted from the multiple convolutional layers in a pre-trained VGG network, and exploits these hi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/46nauc
Publikováno v:
IEEE Access, Vol 7, Pp 4833-4842 (2019)
We propose the deep hierarchical network (DHN) for the quantitative analysis of facial palsy. Facial palsy, also known as Bell’s palsy, is the most common type of facial nerve palsy that results in the loss of muscle control in the affected facial
Publikováno v:
CVPR Workshops
We propose the Hierarchical Detection Network (HDN) for the detection of facial palsy syndrome. This can be the first deep-learning based approach for the facial palsy detection. The proposed HDN consists of three component networks, the first detect