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The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models.

, , , and . Comput. Vis. Image Underst., (2015)

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Branch&Rank for Efficient Object Detection., , and . Int. J. Comput. Vis., 106 (3): 252-268 (2014)Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice., , , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 345-359. Springer, (2019)Learning Output Kernels with Block Coordinate Descent., , , and . ICML, page 49-56. Omnipress, (2011)Rehabilitating the Color Checker Dataset for Illuminant Estimation., , , , , and . CoRR, (2018)Branch&Rank: Non-Linear Object Detection., , and . BMVC, page 1-11. BMVA Press, (2011)Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning., , , , , , , , , and . CoRR, (2021)Rehabilitating the ColorChecker Dataset for Illuminant Estimation., , , , , , , and . CIC, page 350-353. Society for Imaging Science and Technology, (2018)Towards Total Recall in Industrial Anomaly Detection., , , , , and . CVPR, page 14298-14308. IEEE, (2022)Towards causal generative scene models via competition of experts., , , , and . CoRR, (2020)Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo., , , , and . ICCV, page 1527-1537. IEEE, (2019)