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The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models., , , and . Computer Vision and Image Understanding, (2015)Learning Superpixels With Segmentation-Aware Affinity Loss., , , , , , and . CVPR, page 568-576. IEEE Computer Society, (2018)Efficient Facade Segmentation Using Auto-context., , and . WACV, page 1038-1045. IEEE Computer Society, (2015)Efficient 2D and 3D Facade Segmentation using Auto-Context., , , and . CoRR, (2016)On the Integration of Optical Flow and Action Recognition., , , , , and . GCPR, volume 11269 of Lecture Notes in Computer Science, page 281-297. Springer, (2018)Pixel-Adaptive Convolutional Neural Networks., , , , , and . CVPR, page 11166-11175. Computer Vision Foundation / IEEE, (2019)Boosting segmentation with weak supervision from image-to-image translation., , , , , , , and . CoRR, (2019)Gated-SCNN: Gated Shape CNNs for Semantic Segmentation., , , and . CoRR, (2019)Learning Inference Models for Computer Vision.. University of Tübingen, Germany, (2017)SPLATNet: Sparse Lattice Networks for Point Cloud Processing., , , , , , and . CVPR, page 2530-2539. IEEE Computer Society, (2018)