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2020 – today
- 2024
[c156]Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy:
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching. AAAI 2024: 5252-5260- [c155]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. CVPR Workshops 2024: 5610-5619 - [e5]Ullrich Köthe
, Carsten Rother:
Pattern Recognition - 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19-22, 2023, Proceedings. Lecture Notes in Computer Science 14264, Springer 2024, ISBN 978-3-031-54604-4 [contents] - [i73]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 abs/2403.09799 (2024) - [i72]Denis Zavadski, Damjan Kalsan, Carsten Rother:
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage. CoRR abs/2409.09144 (2024) - 2023
- [j31]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): 1060-1072 (2023) - [j30]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): 1302-1306 (2023) - [j29]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) - [c154]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: 2785-2794 - [i71]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 abs/2302.13075 (2023) - [i70]Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe:
Finding Competence Regions in Domain Generalization. CoRR abs/2303.09989 (2023) - [i69]Siddharth Tourani, Carsten Rother, Muhammad Haris Khan, Bogdan Savchynskyy:
Unsupervised Deep Graph Matching Based on Cycle Consistency. CoRR abs/2307.08930 (2023) - [i68]Denis Zavadski, Johann-Friedrich Feiden, Carsten Rother:
ControlNet-XS: Designing an Efficient and Effective Architecture for Controlling Text-to-Image Diffusion Models. CoRR abs/2312.06573 (2023) - 2022
- [j28]Eric Brachmann, Carsten Rother:
Visual Camera Re-Localization From RGB and RGB-D Images Using DSAC. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5847-5865 (2022) - [c153]Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother:
Towards Multimodal Depth Estimation from Light Fields. CVPR 2022: 12943-12951 - [c152]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CVPR 2022: 18632-18643 - [c151]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: 636-653 - [i67]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 abs/2202.00027 (2022) - [i66]Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks. CoRR abs/2202.09206 (2022) - [i65]Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother:
Towards Multimodal Depth Estimation from Light Fields. CoRR abs/2203.16542 (2022) - [i64]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 abs/2207.00291 (2022) - 2021
- [j27]Christoph Kamann, Carsten Rother:
Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions. Int. J. Comput. Vis. 129(2): 462-483 (2021) - [c150]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: 330-335 - [c149]Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother:
Generative Classifiers as a Basis for Trustworthy Image Classification. CVPR 2021: 2971-2981 - [c148]Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Learning Robust Models Using the Principle of Independent Causal Mechanisms. GCPR 2021: 79-110 - [c147]Haebom Lee, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatiotemporal Outdoor Lighting Aggregation on Image Sequences. GCPR 2021: 343-357 - [c146]Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler:
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. ICCV 2021: 6198-6208 - [c145]Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy:
Fusion Moves for Graph Matching. ICCV 2021: 6250-6259 - [c144]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: 8589-8598 - [i63]Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Benchmarking Invertible Architectures on Inverse Problems. CoRR abs/2101.10763 (2021) - [i62]Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy:
Fusion Moves for Graph Matching. CoRR abs/2101.12085 (2021) - [i61]Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe:
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. CoRR abs/2105.02104 (2021) - [i60]Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler:
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. CoRR abs/2109.00524 (2021) - [i59]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 abs/2110.09848 (2021) - [i58]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CoRR abs/2112.01554 (2021) - 2020
- [c143]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: 1176-1185 - [c142]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: 2539-2549 - [c141]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. AISTATS 2020: 2775-2785 - [c140]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: 1379-1388 - [c139]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: 3970-3980 - [c138]Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CVPR 2020: 4633-4642 - [c137]Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann:
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. CVPR 2020: 4947-4956 - [c136]Christoph Kamann, Carsten Rother:
Benchmarking the Robustness of Semantic Segmentation Models. CVPR 2020: 8825-8835 - [c135]Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe:
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. GCPR 2020: 373-387 - [c134]Christoph Kamann, Carsten Rother:
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. ECCV (10) 2020: 369-387 - [c133]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: 577-594 - [c132]Peter Sorrenson, Carsten Rother, Ullrich Köthe:
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). ICLR 2020 - [c131]Lynton Ardizzone, Radek Mackowiak, Carsten Rother, Ullrich Köthe:
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification. NeurIPS 2020 - [i57]Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CoRR abs/2001.02643 (2020) - [i56]Peter Sorrenson, Carsten Rother, Ullrich Köthe:
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). CoRR abs/2001.04872 (2020) - [i55]Lynton Ardizzone, Radek Mackowiak, Ullrich Köthe, Carsten Rother:
Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling. CoRR abs/2001.06448 (2020) - [i54]Eric Brachmann, Carsten Rother:
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC. CoRR abs/2002.12324 (2020) - [i53]Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz:
Self-Supervised Viewpoint Learning From Image Collections. CoRR abs/2004.01793 (2020) - [i52]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 abs/2004.06375 (2020) - [i51]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. CoRR abs/2004.07715 (2020) - [i50]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. CoRR abs/2004.08227 (2020) - [i49]Omid Hosseini Jafari, Carsten Rother:
Split-Merge Pooling. CoRR abs/2006.07742 (2020) - [i48]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 abs/2006.16011 (2020) - [i47]Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother:
Generative Classifiers as a Basis for Trustworthy Computer Vision. CoRR abs/2007.15036 (2020) - [i46]Tomas Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas:
BOP Challenge 2020 on 6D Object Localization. CoRR abs/2009.07378 (2020) - [i45]Christoph Kamann, Burkhard Güssefeld, Robin Hutmacher, Jan Hendrik Metzen, Carsten Rother:
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. CoRR abs/2010.05495 (2020) - [i44]Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Learning Robust Models Using The Principle of Independent Causal Mechanisms. CoRR abs/2010.07167 (2020) - [i43]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 abs/2011.05110 (2020) - [i42]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 abs/2012.08195 (2020)
2010 – 2019
- 2019
- [j26]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): 997-1007 (2019) - [c130]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: 249-257 - [c129]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Localizing Common Objects Using Common Component Activation Map. CVPR Workshops 2019: 28-31 - [c128]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CVPR 2019: 9404-9413 - [c127]Eric Brachmann, Carsten Rother:
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. ICCV 2019: 4321-4330 - [c126]Eric Brachmann, Carsten Rother:
Expert Sample Consensus Applied to Camera Re-Localization. ICCV 2019: 7524-7533 - [c125]Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe:
Analyzing Inverse Problems with Invertible Neural Networks. ICLR (Poster) 2019 - [c124]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: 75-82 - [i41]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 abs/1903.03441 (2019) - [i40]Eric Brachmann, Carsten Rother:
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. CoRR abs/1905.04132 (2019) - [i39]Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl:
HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. CoRR abs/1905.10687 (2019) - [i38]Lynton Ardizzone, Carsten T. Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe:
Guided Image Generation with Conditional Invertible Neural Networks. CoRR abs/1907.02392 (2019) - [i37]Eric Brachmann, Carsten Rother:
Expert Sample Consensus Applied to Camera Re-Localization. CoRR abs/1908.02484 (2019) - [i36]Christoph Kamann, Carsten Rother:
Benchmarking the Robustness of Semantic Segmentation Models. CoRR abs/1908.05005 (2019) - [i35]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 abs/1909.09059 (2019) - [i34]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 abs/1911.01877 (2019) - [i33]Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann:
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. CoRR abs/1912.00623 (2019) - 2018
- [j25]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): 961-972 (2018) - [j24]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): 37-52 (2018) - [c123]Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother:
Geometric Image Synthesis. ACCV (6) 2018: 85-100 - [c122]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: 477-492 - [c121]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Deep Object Co-segmentation. ACCV (3) 2018: 638-653 - [c120]Radek Mackowiak, Philip Lenz, Omair Ghori, Ferran Diego, Oliver Lange, Carsten Rother:
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation. BMVC 2018: 121 - [c119]Hendrik Schilling, Maximilian Diebold, Carsten Rother, Bernd Jähne:
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling. CVPR 2018: 4530-4538 - [c118]Eric Brachmann, Carsten Rother:
Learning Less Is More - 6D Camera Localization via 3D Surface Regression. CVPR 2018: 4654-4662 - [c117]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: 19-35 - [c116]Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. ECCV (4) 2018: 264-281 - [c115]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: 589-600 - [i32]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CoRR abs/1801.00868 (2018) - [i31]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Deep Object Co-Segmentation. CoRR abs/1804.06423 (2018) - [i30]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 abs/1808.04730 (2018) - [i29]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 abs/1808.08319 (2018) - [i28]Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother:
Geometric Image Synthesis. CoRR abs/1809.04696 (2018) - [i27]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 abs/1810.03758 (2018) - [i26]Radek Mackowiak, Philip Lenz, Omair Ghori, Ferran Diego, Oliver Lange, Carsten Rother:
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation. CoRR abs/1810.09726 (2018) - 2017
- [c114]Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality meets Deep Learning. BMVC 2017 - [c113]Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. CVPR 2017: 115-124 - [c112]Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, Bjoern Andres:
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. CVPR 2017: 1904-1912 - [c111]Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother:
DSAC - Differentiable RANSAC for Camera Localization. CVPR 2017: 2492-2500 - [c110]Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother:
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CVPR 2017: 2566-2574 - [c109]Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy:
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CVPR 2017: 7062-7071 - [c108]Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother:
InstanceCut: From Edges to Instances with MultiCut. CVPR 2017: 7322-7331 - [c107]Aseem Behl, Omid Hosseini Jafari, Siva Karthik Mustikovela, Hassan Abu Alhaija, Carsten Rother, Andreas Geiger:
Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? ICCV 2017: 2593-2602 - [c106]Jakob Kruse, Carsten Rother, Uwe Schmidt:
Learning to Push the Limits of Efficient FFT-Based Image Deconvolution. ICCV 2017: 4596-4604 - [c105]Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother:
Analyzing modular CNN architectures for joint depth prediction and semantic segmentation. ICRA 2017: 4620-4627 - [c104]Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr:
Random forests versus Neural Networks - What's best for camera localization? ICRA 2017: 5118-5125 - [c103]Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller:
Crowd sourcing image segmentation with iaSTAPLE. ISBI 2017: 401-405 - [c102]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: 1025-1032 - [c101]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Semantic-Aware Image Smoothing. VMV 2017: 153-160 - [i25]Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmüller:
Crowd Sourcing Image Segmentation with iaSTAPLE. CoRR abs/1702.06461 (2017) - [i24]Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother:
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation. CoRR abs/1702.08009 (2017) - [i23]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. CoRR abs/1708.01566 (2017) - [i22]Eric Brachmann, Carsten Rother:
Learning Less is More - 6D Camera Localization via 3D Surface Regression. CoRR abs/1711.10228 (2017) - [i21]Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, Carsten Rother:
The Best of Both Worlds: Learning Geometry-based 6D Object Pose Estimation. CoRR abs/1712.01924 (2017) - 2016
- [j23]Uwe Schmidt, Jeremy Jancsary, Sebastian Nowozin, Stefan Roth, Carsten Rother:
Cascades of Regression Tree Fields for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 677-689 (2016) - [c100]Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother:
Joint Training of Generic CNN-CRF Models with Stochastic Optimization. ACCV (2) 2016: 221-236 - [c99]David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother:
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation. BMVC 2016 - [c98]Fabrice Matulic, Wolfgang Büschel, Michael Ying Yang, Stephan Ihrke, Anmol Ramraika, Carsten Rother, Raimund Dachselt:
Smart Ubiquitous Projection: Discovering Surfaces for the Projection of Adaptive Content. CHI Extended Abstracts 2016: 2592-2600 - [c97]Loïc Alain Royer, David L. Richmond, Carsten Rother, Bjoern Andres, Dagmar Kainmueller:
Convexity Shape Constraints for Image Segmentation. CVPR 2016: 402-410 - [c96]Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image. CVPR 2016: 3364-3372 - [c95]Anita Sellent, Carsten Rother, Stefan Roth:
Stereo Video Deblurring. ECCV (2) 2016: 558-575 - [c94]Siva Karthik Mustikovela, Michael Ying Yang, Carsten Rother:
Can Ground Truth Label Propagation from Video Help Semantic Segmentation? ECCV Workshops (3) 2016: 804-820 - [c93]Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester:
Lost and Found: detecting small road hazards for self-driving vehicles. IROS 2016: 1099-1106 - [c92]Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. NIPS 2016: 334-342 - [i20]Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. CoRR abs/1606.07015 (2016) - [i19]Anita Sellent, Carsten Rother, Stefan Roth:
Stereo Video Deblurring. CoRR abs/1607.08421 (2016) - [i18]Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester:
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles. CoRR abs/1609.04653 (2016) - [i17]Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr:
Random Forests versus Neural Networks - What's Best for Camera Relocalization? CoRR abs/1609.05797 (2016) - [i16]Siva Karthik Mustikovela, Michael Ying Yang, Carsten Rother:
Can Ground Truth Label Propagation from Video help Semantic Segmentation? CoRR abs/1610.00731 (2016) - [i15]Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother:
DSAC - Differentiable RANSAC for Camera Localization. CoRR abs/1611.05705 (2016) - [i14]Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother:
InstanceCut: from Edges to Instances with MultiCut. CoRR abs/1611.08272 (2016) - [i13]Dmitrij Schlesinger, Carsten Rother:
Implicit Modeling - A Generalization of Discriminative and Generative Approaches. CoRR abs/1612.01397 (2016) - [i12]Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. CoRR abs/1612.02287 (2016) - [i11]Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother:
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CoRR abs/1612.03779 (2016) - [i10]Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy:
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR abs/1612.05476 (2016) - [i9]Sebastian Ramos, Stefan K. Gehrig, Peter Pinggera, Uwe Franke, Carsten Rother:
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling. CoRR abs/1612.06573 (2016) - 2015
- [j22]Ming-Ming Cheng, Victor Adrian Prisacariu, Shuai Zheng, Philip H. S. Torr, Carsten Rother:
DenseCut: Densely Connected CRFs for Realtime GrabCut. Comput. Graph. Forum 34(7): 193-201 (2015) - [j21]Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115(2): 155-184 (2015) - [c91]Johannes Mund, Alexander Zouhar, Lothar Meyer, Hartmut Fricke, Carsten Rother:
Performance Evaluation of LiDAR Point Clouds towards Automated FOD Detection on Airport Aprons. ATACCS 2015: 85-94 - [c90]Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. BMVC 2015: 181.1-181.11 - [c89]Shuai Zheng, Victor Adrian Prisacariu, Melinos Averkiou, Ming-Ming Cheng, Niloy J. Mitra, Jamie Shotton, Philip H. S. Torr, Carsten Rother:
Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds. GCPR 2015: 196-208 - [c88]Hassan Abu Alhaija, Anita Sellent, Daniel Kondermann, Carsten Rother:
GraphFlow - 6D Large Displacement Scene Flow via Graph Matching. GCPR 2015: 285-296 - [c87]Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. ICCV 2015: 954-962 - [c86]Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry P. Vetrov, Carsten Rother:
Inferring M-Best Diverse Labelings in a Single One. ICCV 2015: 1814-1822 - [c85]Rahul Nair, Andrew W. Fitzgibbon, Daniel Kondermann, Carsten Rother:
Reflection Modeling for Passive Stereo. ICCV 2015: 2291-2299 - [c84]Alexander Zouhar, Carsten Rother, Siegfried Fuchs:
Semantic 3-D Labeling of Ear Implants Using a Global Parametric Transition Prior. MICCAI (2) 2015: 177-184 - [c83]David L. Richmond, Dagmar Kainmueller, Ben Glocker, Carsten Rother, Gene Myers:
Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation. MICCAI (1) 2015: 653-660 - [c82]Alexander Kirillov, Dmytro Shlezinger, Dmitry P. Vetrov, Carsten Rother, Bogdan Savchynskyy:
M-Best-Diverse Labelings for Submodular Energies and Beyond. NIPS 2015: 613-621 - [c81]Kevin Schelten, Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, Stefan Roth:
Interleaved Regression Tree Field Cascades for Blind Image Deconvolution. WACV 2015: 494-501 - [e4]Lourdes Agapito, Michael M. Bronstein, Carsten Rother:
Computer Vision - ECCV 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8925, Springer 2015, ISBN 978-3-319-16177-8 [contents] - [e3]Lourdes Agapito, Michael M. Bronstein, Carsten Rother:
Computer Vision - ECCV 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8926, Springer 2015, ISBN 978-3-319-16180-8 [contents] - [e2]Lourdes Agapito, Michael M. Bronstein, Carsten Rother:
Computer Vision - ECCV 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part III. Lecture Notes in Computer Science 8927, Springer 2015, ISBN 978-3-319-16198-3 [contents] - [e1]Lourdes Agapito, Michael M. Bronstein, Carsten Rother:
Computer Vision - ECCV 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part IV. Lecture Notes in Computer Science 8928, Springer 2015, ISBN 978-3-319-16219-5 [contents] - [i8]David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother:
Relating Cascaded Random Forests to Deep Convolutional Neural Networks for Semantic Segmentation. CoRR abs/1507.07583 (2015) - [i7]Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. CoRR abs/1508.04546 (2015) - [i6]Loïc Alain Royer, David L. Richmond, Carsten Rother, Björn Andres, Dagmar Kainmüller:
Convexity Shape Constraints for Image Segmentation. CoRR abs/1509.02122 (2015) - [i5]Alexander Kirillov, Dmitrij Schlesinger, Walter Forkel, Anatoly Zelenin, Shuai Zheng, Philip H. S. Torr, Carsten Rother:
Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation. CoRR abs/1511.05067 (2015) - 2014
- [j20]Frederic Besse, Carsten Rother, Andrew W. Fitzgibbon, Jan Kautz:
PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. Int. J. Comput. Vis. 110(1): 2-13 (2014) - [j19]Minh Hoai Nguyen, Lorenzo Torresani, Fernando De la Torre, Carsten Rother:
Learning discriminative localization from weakly labeled data. Pattern Recognit. 47(3): 1523-1534 (2014) - [c80]Alexander Krull, Frank Michel, Eric Brachmann, Stefan Gumhold, Stephan Ihrke, Carsten Rother:
6-DOF Model Based Tracking via Object Coordinate Regression. ACCV (4) 2014: 384-399 - [c79]Florian Jug, Tobias Pietzsch, Dagmar Kainmüller, Jan Funke, Matthias Kaiser, Erik van Nimwegen, Carsten Rother, Gene Myers:
Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine. BAMBI 2014: 25-36 - [c78]Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr:
Dense Semantic Image Segmentation with Objects and Attributes. CVPR 2014: 3214-3221 - [c77]Michael Hornacek, Andrew W. Fitzgibbon, Carsten Rother:
SphereFlow: 6 DoF Scene Flow from RGB-D Pairs. CVPR 2014: 3526-3533 - [c76]Michael Hornacek, Frederic Besse, Jan Kautz, Andrew W. Fitzgibbon, Carsten Rother:
Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation. ECCV (3) 2014: 220-234 - [c75]Pablo Márquez-Neila, Pushmeet Kohli, Carsten Rother, Luis Baumela:
Non-parametric Higher-Order Random Fields for Image Segmentation. ECCV (6) 2014: 269-284 - [c74]Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother:
Learning 6D Object Pose Estimation Using 3D Object Coordinates. ECCV (2) 2014: 536-551 - [c73]Dagmar Kainmueller, Florian Jug, Carsten Rother, Gene Myers:
Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans. MICCAI (1) 2014: 81-88 - [i4]Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR abs/1404.0533 (2014) - [i3]Uwe Schmidt, Jeremy Jancsary, Sebastian Nowozin, Stefan Roth, Carsten Rother:
Cascades of Regression Tree Fields for Image Restoration. CoRR abs/1404.2086 (2014) - 2013
- [j18]Lorenzo Torresani, Vladimir Kolmogorov, Carsten Rother:
A Dual Decomposition Approach to Feature Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 259-271 (2013) - [j17]Asmaa Hosni, Christoph Rhemann, Michael Bleyer, Carsten Rother, Margrit Gelautz:
Fast Cost-Volume Filtering for Visual Correspondence and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 504-511 (2013) - [c72]Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, Stefan Roth:
Discriminative Non-blind Deblurring. CVPR 2013: 604-611 - [c71]Michael Hornacek, Christoph Rhemann, Margrit Gelautz, Carsten Rother:
Depth Super Resolution by Rigid Body Self-Similarity in 3D. CVPR 2013: 1123-1130 - [c70]Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother:
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013: 1328-1335 - [c69]Jeremy Jancsary, Sebastian Nowozin, Carsten Rother:
Learning Convex QP Relaxations for Structured Prediction. ICML (3) 2013: 915-923 - [c68]Vibhav Vineet, Carsten Rother, Philip H. S. Torr:
Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation. NIPS 2013: 557-565 - 2012
- [j16]Pushmeet Kohli, Hannes Nickisch, Carsten Rother, Christoph Rhemann:
User-Centric Learning and Evaluation of Interactive Segmentation Systems. Int. J. Comput. Vis. 100(3): 261-274 (2012) - [j15]Victor S. Lempitsky, Andrew Blake, Carsten Rother:
Branch-and-Mincut: Global Optimization for Image Segmentation with High-Level Priors. J. Math. Imaging Vis. 44(3): 315-329 (2012) - [c67]Mikhail Sindeev, Anton Konushin, Carsten Rother:
Alpha-Flow for Video Matting. ACCV (3) 2012: 438-452 - [c66]Frederic Besse, Carsten Rother, Andrew W. Fitzgibbon, Jan Kautz:
PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. BMVC 2012: 1-11 - [c65]Jeremy Jancsary, Sebastian Nowozin, Toby Sharp, Carsten Rother:
Regression Tree Fields - An efficient, non-parametric approach to image labeling problems. CVPR 2012: 2376-2383 - [c64]Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother:
Curvature Prior for MRF-Based Segmentation and Shape Inpainting. DAGM/OAGM Symposium 2012: 41-51 - [c63]Jeremy Jancsary, Sebastian Nowozin, Carsten Rother:
Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art. ECCV (7) 2012: 112-125 - [c62]Michael Bleyer, Christoph Rhemann, Carsten Rother:
Extracting 3D Scene-Consistent Object Proposals and Depth from Stereo Images. ECCV (5) 2012: 467-481 - 2011
- [c61]Michael Bleyer, Christoph Rhemann, Carsten Rother:
PatchMatch Stereo - Stereo Matching with Slanted Support Windows. BMVC 2011: 1-11 - [c60]Alex Mansfield, Mukta Prasad, Carsten Rother, Toby Sharp, Pushmeet Kohli, Luc Van Gool:
Transforming Image Completion. BMVC 2011: 1-11 - [c59]Kaiming He, Christoph Rhemann, Carsten Rother, Xiaoou Tang, Jian Sun:
A global sampling method for alpha matting. CVPR 2011: 2049-2056 - [c58]Sara Vicente, Carsten Rother, Vladimir Kolmogorov:
Object cosegmentation. CVPR 2011: 2217-2224 - [c57]Christoph Rhemann, Asmaa Hosni, Michael Bleyer, Carsten Rother, Margrit Gelautz:
Fast cost-volume filtering for visual correspondence and beyond. CVPR 2011: 3017-3024 - [c56]Michael Bleyer, Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta N. Sinha:
Object stereo - Joint stereo matching and object segmentation. CVPR 2011: 3081-3088 - [c55]Patrick Pletscher, Sebastian Nowozin, Pushmeet Kohli, Carsten Rother:
Putting MAP Back on the Map. DAGM-Symposium 2011: 111-121 - [c54]Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli:
Decision tree fields. ICCV 2011: 1668-1675 - [c53]Asmaa Hosni, Michael Bleyer, Christoph Rhemann, Margrit Gelautz, Carsten Rother:
REal-time local stereo matching using guided image filtering. ICME 2011: 1-6 - [c52]Peter V. Gehler, Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf:
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance. NIPS 2011: 765-773 - [i2]Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother:
Curvature Prior for MRF-based Segmentation and Shape Inpainting. CoRR abs/1109.1480 (2011) - 2010
- [j14]Victor S. Lempitsky, Carsten Rother, Stefan Roth, Andrew Blake:
Fusion Moves for Markov Random Field Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1392-1405 (2010) - [j13]Antonio Criminisi, Toby Sharp, Carsten Rother, Patrick Pérez:
Geodesic image and video editing. ACM Trans. Graph. 29(5): 134:1-134:15 (2010) - [c51]Eno Töppe, Martin R. Oswald, Daniel Cremers, Carsten Rother:
Image-Based 3D Modeling via Cheeger Sets. ACCV (1) 2010: 53-64 - [c50]Michael Bleyer, Carsten Rother, Pushmeet Kohli:
Surface stereo with soft segmentation. CVPR 2010: 1570-1577 - [c49]Christoph Rhemann, Carsten Rother, Pushmeet Kohli, Margrit Gelautz:
A spatially varying PSF-based prior for alpha matting. CVPR 2010: 2149-2156 - [c48]Varun Gulshan, Carsten Rother, Antonio Criminisi, Andrew Blake, Andrew Zisserman:
Geodesic star convexity for interactive image segmentation. CVPR 2010: 3129-3136 - [c47]Pushmeet Kohli, Victor S. Lempitsky, Carsten Rother:
Uncertainty Driven Multi-scale Optimization. DAGM-Symposium 2010: 242-251 - [c46]Eno Töppe, Martin R. Oswald, Daniel Cremers, Carsten Rother:
Silhouette-Based Variational Methods for Single View Reconstruction. Video Processing and Computational Video 2010: 104-123 - [c45]Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother:
Visibility Maps for Improving Seam Carving. ECCV Workshops (1) 2010: 131-144 - [c44]Alex Mansfield, Peter V. Gehler, Luc Van Gool, Carsten Rother:
Scene Carving: Scene Consistent Image Retargeting. ECCV (1) 2010: 143-156 - [c43]Ben Glocker, Tim Hauke Heibel, Nassir Navab, Pushmeet Kohli, Carsten Rother:
TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods. ECCV (3) 2010: 272-285 - [c42]Sara Vicente, Vladimir Kolmogorov, Carsten Rother:
Cosegmentation Revisited: Models and Optimization. ECCV (2) 2010: 465-479 - [c41]Hannes Nickisch, Carsten Rother, Pushmeet Kohli, Christoph Rhemann:
Learning an interactive segmentation system. ICVGIP 2010: 274-281
2000 – 2009
- 2009
- [j12]Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi:
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context. Int. J. Comput. Vis. 81(1): 2-23 (2009) - [c40]Michael Bleyer, Margrit Gelautz, Carsten Rother, Christoph Rhemann:
A stereo approach that handles the matting problem via image warping. CVPR 2009: 501-508 - [c39]Dheeraj Singaraju, Carsten Rother, Christoph Rhemann:
New appearance models for natural image matting. CVPR 2009: 659-666 - [c38]Carsten Rother, Pushmeet Kohli, Wei Feng, Jiaya Jia:
Minimizing sparse higher order energy functions of discrete variables. CVPR 2009: 1382-1389 - [c37]Christoph Rhemann, Carsten Rother, Jue Wang, Margrit Gelautz, Pushmeet Kohli, Pamela Rott:
A perceptually motivated online benchmark for image matting. CVPR 2009: 1826-1833 - [c36]Amit Shesh, Antonio Criminisi, Carsten Rother, Gavin Smyth:
3D-aware image editing for out of bounds photography. Graphics Interface 2009: 47-54 - [c35]Victor S. Lempitsky, Pushmeet Kohli, Carsten Rother, Toby Sharp:
Image segmentation with a bounding box prior. ICCV 2009: 277-284 - [c34]Sara Vicente, Vladimir Kolmogorov, Carsten Rother:
Joint optimization of segmentation and appearance models. ICCV 2009: 755-762 - [c33]Minh Hoai Nguyen, Lorenzo Torresani, Lorenzo de la Torre, Carsten Rother:
Weakly supervised discriminative localization and classification: a joint learning process. ICCV 2009: 1925-1932 - [c32]Oliver J. Woodford, Carsten Rother, Vladimir Kolmogorov:
A global perspective on MAP inference for low-level vision. ICCV 2009: 2319-2326 - [i1]Hannes Nickisch, Pushmeet Kohli, Carsten Rother:
Learning an Interactive Segmentation System. CoRR abs/0912.2492 (2009) - 2008
- [j11]Vladimir Kolmogorov, Antonio Criminisi, Andrew Blake, Geoffrey Cross, Carsten Rother:
Probabilistic Fusion of Stereo with Color and Contrast for Bi-Layer Segmentation. Int. J. Comput. Vis. 76(2): 107 (2008) - [j10]Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother:
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1068-1080 (2008) - [j9]Alex Rav-Acha, Pushmeet Kohli, Carsten Rother, Andrew W. Fitzgibbon:
Unwrap mosaics: a new representation for video editing. ACM Trans. Graph. 27(3): 17 (2008) - [c31]Christoph Rhemann, Carsten Rother, Margrit Gelautz:
Improving Color Modeling for Alpha Matting. BMVC 2008: 1-10 - [c30]Peter V. Gehler, Carsten Rother, Andrew Blake, Thomas P. Minka, Toby Sharp:
Bayesian color constancy revisited. CVPR 2008 - [c29]Victor S. Lempitsky, Stefan Roth, Carsten Rother:
FusionFlow: Discrete-continuous optimization for optical flow estimation. CVPR 2008 - [c28]Christoph Rhemann, Carsten Rother, Alex Rav-Acha, Toby Sharp:
High resolution matting via interactive trimap segmentation. CVPR 2008 - [c27]Sara Vicente, Vladimir Kolmogorov, Carsten Rother:
Graph cut based image segmentation with connectivity priors. CVPR 2008 - [c26]Stefan Roth, Victor S. Lempitsky, Carsten Rother:
Discrete-Continuous Optimization for Optical Flow Estimation. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 1-22 - [c25]Victor S. Lempitsky, Andrew Blake, Carsten Rother:
Image Segmentation by Branch-and-Mincut. ECCV (4) 2008: 15-29 - [c24]Lorenzo Torresani, Vladimir Kolmogorov, Carsten Rother:
Feature Correspondence Via Graph Matching: Models and Global Optimization. ECCV (2) 2008: 596-609 - [c23]Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov, Philip H. S. Torr:
On partial optimality in multi-label MRFs. ICML 2008: 480-487 - 2007
- [j8]Antonio Criminisi, Andrew Blake, Carsten Rother, Jamie Shotton, Philip H. S. Torr:
Efficient Dense Stereo with Occlusions for New View-Synthesis by Four-State Dynamic Programming. Int. J. Comput. Vis. 71(1): 89-110 (2007) - [j7]Vladimir Kolmogorov, Carsten Rother:
Minimizing Nonsubmodular Functions with Graph Cuts-A Review. IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1274-1279 (2007) - [j6]Jean-François Lalonde, Derek Hoiem, Alexei A. Efros, Carsten Rother, John M. Winn, Antonio Criminisi:
Photo clip art. ACM Trans. Graph. 26(3): 3 (2007) - [c22]Abigail Sellen, Andrew Fogg, Mike Aitken, Steve Hodges, Carsten Rother, Kenneth R. Wood:
Do life-logging technologies support memory for the past?: an experimental study using sensecam. CHI 2007: 81-90 - [c21]Derek Hoiem, Carsten Rother, John M. Winn:
3D LayoutCRF for Multi-View Object Class Recognition and Segmentation. CVPR 2007 - [c20]Carsten Rother, Vladimir Kolmogorov, Victor S. Lempitsky, Martin Szummer:
Optimizing Binary MRFs via Extended Roof Duality. CVPR 2007 - [c19]Vladimir Kolmogorov, Yuri Boykov, Carsten Rother:
Applications of parametric maxflow in computer vision. ICCV 2007: 1-8 - [c18]Victor S. Lempitsky, Carsten Rother, Andrew Blake:
LogCut - Efficient Graph Cut Optimization for Markov Random Fields. ICCV 2007: 1-8 - 2006
- [j5]Vladimir Kolmogorov, Antonio Criminisi, Andrew Blake, Geoffrey Cross, Carsten Rother:
Probabilistic Fusion of Stereo with Color and Contrast for Bilayer Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1480-1492 (2006) - [j4]Carsten Rother, Lucas Bordeaux, Youssef Hamadi, Andrew Blake:
AutoCollage. ACM Trans. Graph. 25(3): 847-852 (2006) - [c17]David S. Kirk, Abigail Sellen, Carsten Rother, Kenneth R. Wood:
Understanding photowork. CHI 2006: 761-770 - [c16]Carsten Rother, Thomas P. Minka, Andrew Blake, Vladimir Kolmogorov:
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs. CVPR (1) 2006: 993-1000 - [c15]Vladimir Kolmogorov, Carsten Rother:
Comparison of Energy Minimization Algorithms for Highly Connected Graphs. ECCV (2) 2006: 1-15 - [c14]Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi:
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation. ECCV (1) 2006: 1-15 - [c13]Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother:
A Comparative Study of Energy Minimization Methods for Markov Random Fields. ECCV (2) 2006: 16-29 - [c12]Anitha Kannan, John M. Winn, Carsten Rother:
Clustering appearance and shape by learning jigsaws. NIPS 2006: 657-664 - 2005
- [c11]Vladimir Kolmogorov, Antonio Criminisi, Andrew Blake, Geoffrey Cross, Carsten Rother:
Bi-Layer Segmentation of Binocular Stereo Video. CVPR (2) 2005: 407-414 - [c10]Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov, Andrew Blake:
Digital Tapestry. CVPR (1) 2005: 589-596 - [c9]Vladimir Kolmogorov, Antonio Criminisi, Andrew Blake, Geoffrey Cross, Carsten Rother:
Bi-Layer Segmentation of Binocular Stereo Video. CVPR (2) 2005: 1186 - [c8]Andrew Blake, Antonio Criminisi, Geoffrey Cross, Vladimir Kolmogorov, Carsten Rother:
Fusion of Stereo, Colour and Contrast. ISRR 2005: 295-304 - 2004
- [j3]Carsten Rother, Vladimir Kolmogorov, Andrew Blake:
"GrabCut": interactive foreground extraction using iterated graph cuts. ACM Trans. Graph. 23(3): 309-314 (2004) - [c7]Andrew Blake, Carsten Rother, Matthew A. Brown, Patrick Pérez, Philip H. S. Torr:
Interactive Image Segmentation Using an Adaptive GMMRF Model. ECCV (1) 2004: 428-441 - 2003
- [b1]Carsten Rother:
Multi-View Reconstruction and Camera Recovery using a Real or Virtual Reference Plane. Royal Institute of Technology, Stockholm, Sweden, 2003 - [c6]Carsten Rother:
Linear Multi-View Reconstruction of Points, Lines, Planes and Cameras using a Reference Plane. ICCV 2003: 1210-1217 - 2002
- [j2]Carsten Rother, Stefan Carlsson:
Linear Multi View Reconstruction and Camera Recovery Using a Reference Plane. Int. J. Comput. Vis. 49(2-3): 117-141 (2002) - [j1]Carsten Rother:
A new approach to vanishing point detection in architectural environments. Image Vis. Comput. 20(9-10): 647-655 (2002) - [c5]Carsten Rother, Stefan Carlsson:
Linear Multi View Reconstruction with Missing Data. ECCV (2) 2002: 309-324 - [c4]Carsten Rother, Stefan Carlsson, Dennis Tell:
Projective Factorization of Planes and Cameras in Multiple Views. ICPR (2) 2002: 737-740 - 2001
- [c3]Carsten Rother, Stefan Carlsson:
Linear Multi View Reconstruction and Camera Recovery. ICCV 2001: 42-51 - 2000
- [c2]Carsten Rother:
A New Approach for Vanishing Point Detection in Architectural Environments. BMVC 2000: 1-10
1990 – 1999
- 1999
- [c1]Carsten Rother, Hans-Hellmut Nagel:
Analyse initialer Positionsschätzungen bei der Bildfolgenauswertung. DAGM-Symposium 1999: 189-196
Coauthor Index
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