Carsten Rother

Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging CVPR 2025 ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems ECCV 2024 Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching AAAI 2024 A Comparative Study of Graph Matching Algorithms in Computer Vision ECCV 2022 Neural Head Avatars From Monocular RGB Videos CVPR 2022 Towards Multimodal Depth Estimation From Light Fields CVPR 2022 Fusion Moves for Graph Matching ICCV 2021 Generative Classifiers as a Basis for Trustworthy Image Classification CVPR 2021 On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation ICCV 2021 Self-Supervised Object Detection via Generative Image Synthesis ICCV 2021 A Primal-Dual Solver for Large-Scale Tracking-by-Assignment AISTATS 2020 Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020 CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus CVPR 2020 Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) ICLR 2020 Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers ECCV 2020 Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task CVPR 2020 Self-Supervised Viewpoint Learning From Image Collections CVPR 2020 Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization AISTATS 2020 Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NeurIPS 2020 Analyzing Inverse Problems with Invertible Neural Networks ICLR 2019 Expert Sample Consensus Applied to Camera Re-Localization ICCV 2019 Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses ICCV 2019 Panoptic Segmentation CVPR 2019 BOP: Benchmark for 6D Object Pose Estimation ECCV 2018 Learning Less Is More - 6D Camera Localization via 3D Surface Regression CVPR 2018 MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models ECCV 2018 Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling CVPR 2018 A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching CVPR 2017 Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? ICCV 2017 DSAC - Differentiable RANSAC for Camera Localization CVPR 2017 Global Hypothesis Generation for 6D Object Pose Estimation CVPR 2017 InstanceCut: From Edges to Instances With MultiCut CVPR 2017 Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications CVPR 2017 Learning to Push the Limits of Efficient FFT-Based Image Deconvolution ICCV 2017 PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017 Convexity Shape Constraints for Image Segmentation CVPR 2016 Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization NeurIPS 2016 Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image CVPR 2016 Inferring M-Best Diverse Labelings in a Single One ICCV 2015 Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images ICCV 2015 M-Best-Diverse Labelings for Submodular Energies and Beyond NeurIPS 2015 Reflection Modeling for Passive Stereo ICCV 2015 Dense Semantic Image Segmentation with Objects and Attributes CVPR 2014 SphereFlow: 6 DoF Scene Flow from RGB-D Pairs CVPR 2014 Depth Super Resolution by Rigid Body Self-Similarity in 3D CVPR 2013 Discriminative Non-blind Deblurring CVPR 2013 Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation NeurIPS 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NeurIPS 2011 Clustering appearance and shape by learning jigsaws NeurIPS 2006