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Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
Dense prediction tasks typically employ encoder-decoder architectures, b...
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Unite the People: Closing the Loop Between 3D and 2D Human Representations
3D models provide a common ground for different representations of human...
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Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Semantic annotations are vital for training models for object recognitio...
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Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
Bilateral filters have wide spread use due to their edge-preserving prop...
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Permutohedral Lattice CNNs
This paper presents a convolutional layer that is able to process sparse...
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Martin Kiefel
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