Joint Deep Learning for Pedestrian Detection Wanli Ouyang and Xiaogang Wang Department of Electronic Engineering, the Chinese University of Hong Kong wlouyang, Abstract - Joint Vision - Document - PDFSEARCH.IO

First Page	Meta Content
	Joint Deep Learning for Pedestrian Detection Wanli Ouyang and Xiaogang Wang Department of Electronic Engineering, the Chinese University of Hong Kong wlouyang, Abstract Add to Reading List Document Date: 2013-10-15 09:27:14 Open Document File Size: 832,27 KB Share Result on Facebook City Courville / Bilattice / / / Facility University of Montreal / Chinese University / / IndustryTerm neural networks / deep network / Sum-product networks / deconvolutional networks / learning algorithm / convolutional neural networks / deep convolutional neural networks / / Organization Pedestrian Detection Wanli Ouyang and Xiaogang Wang Department of Electronic Engineering / National Natural Science Foundation of China / General Research Fund / University of Montreal / Chinese University of Hong Kong / Research Grants Council of Hong Kong / / Person O. Barinova / V / A. Vedaldi / V / max b / Occlusion / J. Neumann / V / / Position Mp / head / and legs / discriminative deep model for pedestrian detection with occlusion handling / part-based model / / Product Cowon D2+ Portable Audio Device / / PublishedMedium Machine Learning / / Technology Machine Learning / html / artificial intelligence / key technology / / URL www.ee.cuhk.edu.hk / / SocialTag Solid mechanics Materials science Computer vision Image processing Pedestrian detection Surveillance Supervised learning Hough transform Linear classifier Mechanics

Joint Deep Learning for Pedestrian Detection Wanli Ouyang and Xiaogang Wang Department of Electronic Engineering, the Chinese University of Hong Kong wlouyang, AbstractAdd to Reading List