Erkun Yang

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Convolutional neural networks have achieved great success in many computer vision tasks. However, it is still challenging for action recognition in videos due to the intrinsically complicated space-time correlation and computational difficult of videos. Existing methods usually neglect the fusion of long term spatio-temporal information. In this paper, we(More)
Due to high mobility and intermittent connections in vehicular networks, reliable and efficient vehicular communication is a challenging task. Previous research on Vehicle-to-Vehicle (V2V) communication mostly focuses on achieving reliable transmissions from a given source to a given destination by mining moving patterns of taxicabs. However, to the best of(More)
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