Titlebook: Computer Vision – ECCV 2018; 15th European Confer Vittorio Ferrari,Martial Hebert,Yair Weiss Conference proceedings 2018 Springer Nature Sw

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异端邪说2

https://doi.org/10.1057/9780230625433ing-time illusion. Producing such visual effects, however, typically requires using a large number of cameras/images surrounding the subject. In this paper, we present a learning-based solution that is capable of producing the bullet-time effect from only a small set of images. Specifically, we pres

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https://doi.org/10.1057/9780230625433t single-shot model. The proposed PersonLab model tackles both semantic-level reasoning and object-part associations using part-based modeling. Our model employs a convolutional network which learns to detect individual keypoints and predict their relative displacements, allowing us to group keypoin

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https://doi.org/10.1007/978-3-030-01264-93D; artificial intelligence; computer vision; image coding; image processing; image reconstruction; image

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Computer Vision – ECCV 2018978-3-030-01264-9Series ISSN 0302-9743 Series E-ISSN 1611-3349