A probabilistic model for recursive factorized image features
Saliency prediction using deep learning techniques
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Jonathan Tompson, Murphy Stein, Yann LeCun, Ken Perlin REAL-TIME CONTINUOUS POSE RECOVERY OF HUMAN HANDS USING CONVOLUTIONAL NETWORKS.
Hardware implement 涂正中. 2010:Convolutional Networks and Applications in Vision （ Overview ） Chip: first :1991-1992, Bell Labs’ ANNA chip. ConvNet chip.
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UC Berkeley Fully Convolutional Networks for Semantic Segmentation Jonathan Long* Evan Shelhamer* Trevor Darrell 1 Presented by: Gordon Christie Slide.
Hierarchical Models of Vision: Machine Learning/Computer Vision
