Shichao Zhao

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Deep ConvNets have shown its good performance in image classification tasks. However it still remains as a problem in deep video representation for action recognition. The problem comes from two aspects: on one hand, current video ConvNets are relatively shallow compared with image ConvNets, which limits its capability of capturing the complex video action(More)
The power conversion efficiency (PCE) of single-wall carbon nanotube (SCNT)/n-type crystalline silicon heterojunction photovoltaic devices is significantly improved by Au doping. It is found that the overall PCE was significantly increased to threefold. The efficiency enhancement of photovoltaic devices is mainly the improved electrical conductivity of SCNT(More)
Several recent researches have shown that image features produced by Convolutional Neural Networks (CNNs) provide the state-of-the-art performance for image classification and retrieval. Moreover, some researchers have found that the features extracted from the deep convolutional layers of CNNs perform better than that from the fully-connected layers.(More)
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