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Carsten Rother

Heidelberg University

Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling

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Jan 20, 2020
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Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)

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Jan 14, 2020
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CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

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Jan 08, 2020
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Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task

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Dec 02, 2019
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Out of distribution detection for intra-operative functional imaging

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Nov 05, 2019
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Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift

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Sep 19, 2019
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Benchmarking the Robustness of Semantic Segmentation Models

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Aug 14, 2019
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Expert Sample Consensus Applied to Camera Re-Localization

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Aug 07, 2019
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Guided Image Generation with Conditional Invertible Neural Networks

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Jul 10, 2019
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HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference

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May 25, 2019
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