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Chapter and Conference Paper
Towards Binarized MobileNet via Structured Sparsity
The rising demand for deploying convolutional neural networks (CNNs) to mobile applications has promoted the booming of compact networks. Two parallel mainstream techniques include network compression and ligh...
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Chapter and Conference Paper
Human Interaction Recognition Based on the Co-occurring Visual Matrix Sequence
The human interaction recognition methods based on motion co-occurrence have been an efficient solution for its reasonable expression and simple operation. However this kind of methods has relatively low reco...
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Chapter and Conference Paper
A Simple Human Interaction Recognition Based on Global GIST Feature Model
The precision of human interaction recognition mainly relies on the discrimination of action feature descriptors. The descriptors contained global and local information usually can be applied to classify inter...