Carsten Rother

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 137

Top Venues

CoRR

CVPR

ICCV

Int. J. Comput. Vis.

Royal Institute of Technology, Stockholm, Sweden (PHD)

Education History

Royal Institute of Technology, Stockholm, Sweden

PHD

Publications

Tomas Hodan, Martin Sundermeyer, Yann Labbé, Van Nguyen Nguyen, Gu Wang, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Jiri Matas
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. CoRR (2024)
Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching. AAAI (2024)
Siddharth Tourani, Carsten Rother, Muhammad Haris Khan, Bogdan Savchynskyy
Unsupervised Deep Graph Matching Based on Cycle Consistency. CoRR (2023)
Martin Sundermeyer, Tomás Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, Jirí Matas
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. CVPR Workshops (2023)
Martin Sundermeyer, Tomas Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, Jiri Matas
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. CoRR (2023)
Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks. Int. J. Comput. Vis. 131 (4) (2023)
Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe
Finding Competence Regions in Domain Generalization. CoRR (2023)
Denis Zavadski, Johann-Friedrich Feiden, Carsten Rother
ControlNet-XS: Designing an Efficient and Effective Architecture for Controlling Text-to-Image Diffusion Models. CoRR (2023)
Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe
Finding Competence Regions in Domain Generalization. Trans. Mach. Learn. Res. 2023 (2023)
Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother
Correction: Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks. Int. J. Comput. Vis. 131 (5) (2023)
Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy
A Comparative Study of Graph Matching Algorithms in Computer Vision. CoRR (2022)
Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies
Neural Head Avatars from Monocular RGB Videos. CVPR (2022)
Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
Towards Multimodal Depth Estimation from Light Fields. CVPR (2022)
Eric Brachmann, Carsten Rother
Visual Camera Re-Localization From RGB and RGB-D Images Using DSAC. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks. CoRR (2022)
Jonas Haldemann, Victor Ksoll, Daniel Walter, Yann Alibert, Ralf S. Klessen, Willy Benz, Ullrich Köthe, Lynton Ardizzone, Carsten Rother
Exoplanet Characterization using Conditional Invertible Neural Networks. CoRR (2022)
Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy
A Comparative Study of Graph Matching Algorithms in Computer Vision. ECCV (23) (2022)
Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
Towards Multimodal Depth Estimation from Light Fields. CoRR (2022)
Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
Learning Robust Models Using the Principle of Independent Causal Mechanisms. GCPR (2021)
Haebom Lee, Robert Herzog, Jan Rexilius, Carsten Rother
Spatiotemporal Outdoor Lighting Aggregation on Image Sequences. GCPR (2021)
Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy
Fusion Moves for Graph Matching. ICCV (2021)
Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies
Neural Head Avatars from Monocular RGB Videos. CoRR (2021)
Lynton Ardizzone, Jakob Kruse, Carsten Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. CoRR (2021)
Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. ICCV (2021)
Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
Generative Classifiers as a Basis for Trustworthy Image Classification. CVPR (2021)
Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. CoRR (2021)
Christoph Kamann, Carsten Rother
Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions. Int. J. Comput. Vis. 129 (2) (2021)
Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz
Self-Supervised Object Detection via Generative Image Synthesis. CoRR (2021)
Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz
Self-Supervised Object Detection via Generative Image Synthesis. ICCV (2021)
Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. Bildverarbeitung für die Medizin (2021)
Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
Benchmarking Invertible Architectures on Inverse Problems. CoRR (2021)
Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy
Fusion Moves for Graph Matching. CoRR (2021)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. CoRR (2020)
Hendrik Schilling, Marcel Gutsche, Alexander Brock, Dane Späth, Carsten Rother, Karsten Krispin
Mind the Gap - A Benchmark for Dense Depth Prediction Beyond Lidar. CVPR Workshops (2020)
Christoph Kamann, Carsten Rother
Benchmarking the Robustness of Semantic Segmentation Models. CVPR (2020)
Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. CoRR (2020)
Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
Generative Classifiers as a Basis for Trustworthy Computer Vision. CoRR (2020)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. CoRR (2020)
Omid Hosseini Jafari, Carsten Rother
Split-Merge Pooling. CoRR (2020)
Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz
Self-Supervised Viewpoint Learning From Image Collections. CVPR (2020)
Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. CVPR (2020)
Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother
Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition. 3DV (2020)
Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CoRR (2020)
Christoph Kamann, Burkhard Güssefeld, Robin Hutmacher, Jan Hendrik Metzen, Carsten Rother
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. CoRR (2020)
Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. CoRR (2020)
Lynton Ardizzone, Radek Mackowiak, Ullrich Köthe, Carsten Rother
Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling. CoRR (2020)
Lynton Ardizzone, Jakob Kruse, Carsten Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. GCPR (2020)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. AISTATS (2020)
Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CVPR (2020)
Eric Brachmann, Carsten Rother
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC. CoRR (2020)
Peter Sorrenson, Carsten Rother, Ullrich Köthe
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). CoRR (2020)
Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS (2020)
Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz
Self-Supervised Viewpoint Learning From Image Collections. CoRR (2020)
Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
Learning Robust Models Using The Principle of Independent Causal Mechanisms. CoRR (2020)
Tomás Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas
BOP Challenge 2020 on 6D Object Localization. ECCV Workshops (2) (2020)
Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus H. Maier-Hein, Ullrich Köthe, Carsten Rother, Lena Maier-Hein
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. CoRR (2020)
Tomas Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas
BOP Challenge 2020 on 6D Object Localization. CoRR (2020)
Lynton Ardizzone, Radek Mackowiak, Carsten Rother, Ullrich Köthe
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification. NeurIPS (2020)
Christoph Kamann, Carsten Rother
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. ECCV (10) (2020)
Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Matthias Nießner, Andreas Geiger, Carsten Rother
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition. CoRR (2020)
Peter Sorrenson, Carsten Rother, Ullrich Köthe
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). ICLR (2020)
Eric Brachmann, Carsten Rother
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. ICCV (2019)
Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Out of Distribution Detection for Intra-operative Functional Imaging. UNSURE/CLIP@MICCAI (2019)
Eric Brachmann, Carsten Rother
Expert Sample Consensus Applied to Camera Re-Localization. CoRR (2019)
Titus Leistner, Hendrik Schilling, Radek Mackowiak, Stefan Gumhold, Carsten Rother
Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift. CoRR (2019)
Lynton Ardizzone, Carsten Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe
Guided Image Generation with Conditional Invertible Neural Networks. CoRR (2019)
Eric Brachmann, Carsten Rother
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. CoRR (2019)
Tim J. Adler, Lynton Ardizzone, Anant Suraj Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian J. Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. Int. J. Comput. Assist. Radiol. Surg. 14 (6) (2019)
Eric Brachmann, Carsten Rother
Expert Sample Consensus Applied to Camera Re-Localization. ICCV (2019)
Titus Leistner, Hendrik Schilling, Radek Mackowiak, Stefan Gumhold, Carsten Rother
Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift. 3DV (2019)
Weihao Li, Omid Hosseini Jafari, Carsten Rother
Localizing Common Objects Using Common Component Activation Map. CVPR Workshops (2019)
Tim J. Adler, Lynton Ardizzone, Anant Suraj Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian J. Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. CoRR (2019)
Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl
HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. CoRR (2019)
Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. CoRR (2019)
Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe
Analyzing Inverse Problems with Invertible Neural Networks. ICLR (Poster) (2019)
Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
Panoptic Segmentation. CVPR (2019)
Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Out of distribution detection for intra-operative functional imaging. CoRR (2019)
Christoph Kamann, Carsten Rother
Benchmarking the Robustness of Semantic Segmentation Models. CoRR (2019)
Lynton Ardizzone, Jakob Kruse, Sebastian J. Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe
Analyzing Inverse Problems with Invertible Neural Networks. CoRR (2018)
Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother
Geometric Image Synthesis. ACCV (6) (2018)
Eric Brachmann, Carsten Rother
Learning Less Is More - 6D Camera Localization via 3D Surface Regression. CVPR (2018)
Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas
A Summary of the 4th International Workshop on Recovering 6D Object Pose. CoRR (2018)
Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother
Geometric Image Synthesis. CoRR (2018)
Tomás Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas
A Summary of the 4th International Workshop on Recovering 6D Object Pose. ECCV Workshops (1) (2018)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. ECCV (4) (2018)
Hendrik Schilling, Maximilian Diebold, Carsten Rother, Bernd Jähne
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling. CVPR (2018)
Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother
BOP: Benchmark for 6D Object Pose Estimation. CoRR (2018)
Weihao Li, Omid Hosseini Jafari, Carsten Rother
Deep Object Co-Segmentation. CoRR (2018)
Radek Mackowiak, Philip Lenz, Omair Ghori, Ferran Diego, Oliver Lange, Carsten Rother
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation. CoRR (2018)
Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, Carsten Rother
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects. ACCV (3) (2018)
Weihao Li, Omid Hosseini Jafari, Carsten Rother
Deep Object Co-segmentation. ACCV (3) (2018)
Radek Mackowiak, Philip Lenz, Omair Ghori, Ferran Diego, Oliver Lange, Carsten Rother
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation. BMVC (2018)
Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother
BOP: Benchmark for 6D Object Pose Estimation. ECCV (10) (2018)
Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. 35 (1) (2018)
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes. Int. J. Comput. Vis. 126 (9) (2018)
Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
Panoptic Segmentation. CoRR (2018)
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
Global Hypothesis Generation for 6D Object Pose Estimation. CVPR (2017)
Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother
InstanceCut: From Edges to Instances with MultiCut. CVPR (2017)
Sebastian Ramos, Stefan K. Gehrig, Peter Pinggera, Uwe Franke, Carsten Rother
Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling. Intelligent Vehicles Symposium (2017)
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother
Augmented Reality meets Deep Learning. BMVC (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Carsten Rother