Multimodal Deep Autoencoder for Human Pose Recovery
Work
Year: 2015
Type: article
Institutions Xiamen University of Technology, Hangzhou Dianzi University, University of Technology Sydney, Hefei University of Technology
Cites: 46
Cited by: 563
Related to: 10
FWCI: 40.57
Citation percentile (by year/subfield): 99.99
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China
Grant IDS 61322201, 61202145, 61272393, 61432019, 61472110