Animating Cloud Images With Flow Style Transfer

We propose a method for animating static images using a generative adversarial network (GAN).Given a source image depicting a cloud image and a driving video sequence depicting a moving cloud image, our framework generates a video in which the source image is animated according to the driving sequence.By inputting the source image and optical flow

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Automatic ladybird beetle detection using deep-learning models.

Fast and accurate taxonomic identification of invasive trans-located ladybird beetle species is essential to prevent significant impacts on biological communities, ecosystem functions, and agricultural business economics.Therefore, in this work we propose a two-step automatic detector for ladybird beetles in random environment images as the first s

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Depression Over the Adult Life Course for African American Men

Rarely are within-group differences among African American men explored in the context of mental health and well-being.Though current conceptual and empirical studies on depression among African American men exists, these studies do not offer a framework that considers how this disorder manifests over the adult life course for rail cover African Am

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