Abstract: We propose a novel approach for video anomaly detection. Existing video anomaly detection methods train only on normal frames, with the expectation that the ...
Abstract: We present compact and effective deep convolutional neural networks (CNNs) by exploring properties of videos for video deblurring. Motivated by the non-uniform blur property that not all the ...
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