Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

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Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images,omatically decide to terminate or continue enhancement according to the assessed quality of enhanced images. Consequently, slight artifacts can be removed in a simpler and faster process, while the severe artifacts can be further removed in a more elaborate process. Extensive experiments demonstrate

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PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations,trained using much fewer shapes, compared to existing approaches. We show several applications of our new representation, including shape interpolation and partial point cloud completion. Due to explicit control over positions, orientations and scales of patches, our representation is also more cont

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Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift,

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3D Fluid Flow Reconstruction Using Compact Light Field PIV,

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Auditor Independence as an Economic Decisionbject. We then present a unified deep architecture that learns to predict object location under these four scenarios. We evaluate the architecture and system on a new dataset based on CATER, with per-frame labels, and find that it outperforms previous localization methods and various baselines.