A.  Krull, Hirsch, P., Rother, C., Schiffrin, A., and Krull, C., ?Artificial-intelligence-driven scanning probe microscopy?, Communications Physics, vol. 3, 2020.

F.  Kluger, Brachmann, E., Ackermann, H., Rother, C., Yang, M. Ying, and Rosenhahn, B., ?CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus?, in CVPR 2020, 2020.

L.  Ardizzone, Mackowiak, R., Rother, C., and Köthe, U., ?Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling?, 2020.

S.  Haller, Prakash, M., Hutschenreiter, L., Pietzsch, T., Rother, C., Jug, F., Swoboda, P., and Savchynskyy, B., ?A Primal-Dual Solver for Large-Scale Tracking-by-Assignment?, AISTATS 2020. 2020.

S.  Tourani, Shekhovtsov, A., Rother, C., and Savchynskyy, B., ?Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization?, in AISTATS 2020, 2020.

J.  Kruse, Ardizzone, L., Rother, C., and Köthe, U., ?Benchmarking Invertible Architectures on Inverse Problems?, i, 2019.

C.  Kamann and Rother, C., ?Benchmarking the Robustness of Semantic Segmentation Models?, 2019.

R.  Mackowiak, Lenz, P., Ghori, O., Diego, F., Lange, O., and Rother, C., ?CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation?, in British Machine Vision Conference 2018, BMVC 2018, 2019.

W.  Li, Hosseini Jafari, O., and Rother, C., ?Deep Object Co-segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11363 LNCS, pp. 638?653.

E.  Brachmann and Rother, C., ?Expert sample consensus applied to camera re-localization?, in Proceedings of the IEEE International Conference on Computer Vision, 2019, vol. 2019-Octob, pp. 7524?7533.

H.  Abu Alhaija, Mustikovela, S. Karthik, Geiger, A., and Rother, C., ?Geometric Image Synthesis?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11366 LNCS, pp. 85?100.

L.  Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U., ?Guided Image Generation with Conditional Invertible Neural Networks?, 2019.

L.  Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U., ?Guided Image Generation with Conditional Invertible Neural Networks?, 2019.

O.  Hosseini Jafari, Mustikovela, S. Karthik, Pertsch, K., Brachmann, E., and Rother, C., ?iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11363 LNCS, pp. 477?492.

T.  Leistner, Schilling, H., Mackowiak, R., Gumhold, S., and Rother, C., ?Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift?, in Proceedings - 2019 International Conference on 3D Vision, 3DV 2019, 2019, pp. 249?257.

W.  Li, Hosseini Jafari, O., and Rother, C., ?Localizing Common Objects Using Common Component Activation Map?, 2019.

E.  Brachmann and Rother, C., ?Neural-guided RANSAC: Learning where to sample model hypotheses?, in Proceedings of the IEEE International Conference on Computer Vision, 2019, vol. 2019-Octob, pp. 4321?4330.

T. J.  Adler, Ayala, L., Ardizzone, L., Kenngott, H. G., Vemuri, A., Müller-Stich, B. P., Rother, C., Köthe, U., and Maier-Hein, L., ?Out of Distribution Detection for Intra-operative Functional Imaging?, in MICCAI UNSURE Workshop 2019, 2019, vol. 11840 LNCS, pp. 75?82.

A.  Bhowmik, Gumhold, S., Rother, C., and Brachmann, E., ?Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task?, 2019.

H.  Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., ?Augmented Reality Meets Computer Vision?, International Journal of Computer Vision, vol. In press, pp. 1?13, 2018.

H.  Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., ?Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes?, International Journal of Computer Vision, vol. 126, pp. 961?972, 2018.

H.  Abu Alhaija, Mustikovela, S. K., Mescheder, A., Geiger, C., and Rother, C., ?Augmented Reality Meets Computer Vision Efficient Data Generation for Urban Driving Scenes?, IJCV, pp. 1-12, 2018.

T.  Hoda?, Michel, F., Brachmann, E., Kehl, W., Buch, A. Glent, Kraft, D., Drost, B., Vidal, J., Ihrke, S., Zabulis, X., Sahin, C., Manhardt, F., Tombari, F., Kim, T. Kyun, Matas, J., and Rother, C., ?BOP: Benchmark for 6D object pose estimation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11214 LNCS, pp. 19?35.

A.  Arnab, Zheng, S., Jayasumana, S., Romera-paredes, B., Kirillov, A., Savchynskyy, B., Rother, C., Kahl, F., and Torr, P., ?Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation?, Cvpr, vol. XX, pp. 1?15, 2018.

H.  Abu Alhaija, Mustikovela, S. K., Geiger, A., and Rother, C., ?Geometric Image Synthesis?, ACCV. Proceedings, in press. 2018.

O.  Hosseini Jafari, Mustikovela, S. K., Pertsch, K., Brachmann, E., and Rother, C., ?iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects?, ACCV. Proceedings, in press. 2018.

E.  Brachmann and Rother, C., ?Learning Less is More - 6D Camera Localization via 3D Surface Regression?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, pp. 4654?4662.

S.  Tourani, Shekhovtsov, A., Rother, C., and Savchynskyy, B., ?MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11208 LNCS, pp. 264?281.

H.  Schilling, Diebold, M., Rother, C., and Jähne, B., ?Trust your Model: Light Field Depth Estimation with Inline Occlusion Handling?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, pp. 4530?4538.

H.  Schilling, Diebold, M., Rother, C., and Jähne, B., ?Trust your Model: Light Field Depth Estimation with inline Occlusion Handling?, CVPR. Proceedings. 2018.

O.  Hosseini Jafari, Groth, O., Kirillov, A., Yang, M. Ying, and Rother, C., ?Analyzing modular CNN architectures for joint depth prediction and semantic segmentation?, in Proceedings - IEEE International Conference on Robotics and Automation, 2017, pp. 4620?4627.

H.  Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., ?Augmented reality meets deep learning for car instance segmentation in urban scenes?, in British Machine Vision Conference 2017, BMVC 2017, 2017.

A.  Behl, Hosseini Jafari, O., Mustikovela, S. Karthik, Abu Alhaija, H., Rother, C., and Geiger, A., ?Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios??, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 2593?2602.

A.  Behl, Hosseini Jafari, O., Mustikovela, S. Karthik, Abu Alhaija, H., Rother, C., and Geiger, A., ?Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios??, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 2593?2602.

D.  Schlesinger, Jug, F., Myers, G., Rother, C., and Kainmueller, D., ?Crowd sourcing image segmentation with iaSTAPLE?, in Proceedings - International Symposium on Biomedical Imaging, 2017, pp. 401?405.

S.  Ramos, Gehrig, S., Pinggera, P., Franke, U., and Rother, C., ?Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling?, in IEEE Intelligent Vehicles Symposium, Proceedings, 2017, pp. 1025?1032.

E.  Brachmann, Krull, A., Nowozin, S., Shotton, J., Michel, F., Gumhold, S., and Rother, C., ?DSAC - Differentiable RANSAC for camera localization?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2492?2500.

F.  Michel, Kirillov, A., Brachmann, E., Krull, A., Gumhold, S., Savchynskyy, B., and Rother, C., ?Global hypothesis generation for 6D object pose estimation?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 115?124.

A.  Kirillov, Levinkov, E., Andres, B., Savchynskyy, B., and Rother, C., ?InstanceCut: From edges to instances with MultiCut?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 7322?7331.

E.  Levinkov, Uhrig, J., Tang, S., Omran, M., Insafutdinov, E., Kirillov, A., Rother, C., Brox, T., Schiele, B., and Andres, B., ?Joint graph decomposition & node labeling: Problem, algorithms, applications?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 1904?1912.

A.  Kirillov, Schlesinger, D., Zheng, S., Savchynskyy, B., Torr, P. H. S., and Rother, C., ?Joint training of generic CNN-CRF models with stochastic optimization?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, vol. 10112 LNCS, pp. 221?236.

J.  Kruse, Rother, C., and Schmidt, U., ?Learning to Push the Limits of Efficient FFT-Based Image Deconvolution?, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 4596?4604.

J.  Kruse, Rother, C., Schmidt, U., and Dresden, T. U., ?Learning to Push the Limits of Efficient FFT-based Image Deconvolution - Supplemental Material?, 2017.

A.  Krull, Brachmann, E., Nowozin, S., Michel, F., Shotton, J., and Rother, C., ?PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2566?2574.

D.  Massiceti, Krull, A., Brachmann, E., Rother, C., and Torr, P. H. S., ?Random Forests versus Neural Networks ? What's best for camera location?. 2017.

M.  Hullin, Klein, R., Schultz, T., Yao, A., Li, W., Hosseini Jafari, O., and Rother, C., ?Semantic-Aware Image Smoothing?, Vision, Modeling, and Visualization, 2017.

S. Karthik Mustikovela, Yang, M. Ying, and Rother, C., ?Can ground truth label propagation from video help semantic segmentation??, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9915 LNCS, pp. 804?820.

L. A.  Royer, Richmond, D. L., Rother, C., Andres, B., and Kainmueller, D., ?Convexity shape constraints for image segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, vol. 2016-Decem, pp. 402?410.

J.  Mund, Michel, F., Dieke-Meier, F., Fricke, H., Meyer, L., and Rother, C., ?Introducing LiDAR Point Cloud-based Object Classification for Safer Apron Operations?, in International Symposium on Enhanced Solutions for Aircraft and Vehicle Surveillance Applications, 2016.

P.  Pinggera, Ramos, S., Gehrig, S., Franke, U., Rother, C., and Mester, R., ?Lost and found: Detecting small road hazards for self-driving vehicles?, in IEEE International Conference on Intelligent Robots and Systems, 2016, vol. 2016-Novem, pp. 1099?1106.

D. L.  Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., ?Mapping auto-context decision forests to deep convnets for semantic segmentation?, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1?144.12.

D. L.  Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., ?Mapping auto-context decision forests to deep convnets for semantic segmentation?, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1?144.12.

D. L.  Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., ?Mapping auto-context decision forests to deep convnets for semantic segmentation?, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1?144.12.

A.  Sellent, Rother, C., and Roth, S., ?Stereo video deblurring?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9906 LNCS, pp. 558?575.

A.  Sellent, Rother, C., and Roth, S., ?Stereo Video Deblurring-Supplemental Material?, 2016.

E.  Brachmann, Michel, F., Krull, A., Yang, M. Ying, Gumhold, S., and Rother, C., ?Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, vol. 2016-Decem, pp. 3364?3372.

E.  Brachmann, Michel, F., Krull, A., Yang, M. Ying, Gumhold, S., and Rother, C., ?Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, vol. 2016-Decem, pp. 3364?3372.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, pp. 1-30, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, Int.~J.~Comp.~Vision, 2015.

H.  Abu Alhaija, Sellent, A., Kondermann, D., and Rother, C., ?Graphflow?6D large displacement scene flow via graph matching?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 285?296.

A.  Kirillov, Savchynskyy, B., Schlesinger, D., Vetrov, D., and Rother, C., ?Inferring M-best diverse labelings in a single one?, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 1814?1822.

K.  Schelten, Nowozin, S., Jancsary, J., Rother, C., and Roth, S., ?Interleaved regression tree field cascades for blind image deconvolution?, in Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015, 2015, pp. 494?501.

A.  Krull, Brachmann, E., Michel, F., Yang, M. Ying, Gumhold, S., and Rother, C., ?Learning analysis-by-synthesis for 6d pose estimation in RGB-D images?, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 954?962.

A.  Kirillov, Schlesinger, D., Vetrov, D., Rother, C., and Savchynskyy, B., ?M-best-diverse labelings for submodular energies and beyond?, in Advances in Neural Information Processing Systems, 2015, vol. 2015-Janua, pp. 613?621.

S.  Zheng, Prisacariu, V. Adrian, Averkiou, M., Cheng, M. Ming, Mitra, N. J., Shotton, J., Torr, P. H. S., and Rother, C., ?Object proposals estimation in depth image using compact 3D shape manifolds?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 196?208.

N. J.  Mitra, Stam, J., Xu, K., Cheng, M. - M., Prisacariu, V. Adrian, Zheng, S., Torr, P. H. S., and Rother, C., ?Pacific Graphics 2015 DenseCut: Densely Connected CRFs for Realtime GrabCut?, vol. 34, 2015.

J.  Mund, Zouhar, A., Meyer, L., Fricke, H., and Rother, C., ?Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons?, in Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015, pp. 85?94.

J.  Mund, Zouhar, A., Meyer, L., Fricke, H., and Rother, C., ?Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons?, in Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015, pp. 85?94.

F.  Michel, Krull, A., Brachmann, E., Yang, M. Ying, Gumhold, S., and Rother, C., ?Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression?, 2015, pp. 181.1?181.11.

R.  Nair, Fitzgibbon, A., Kondermann, D., and Rother, C., ?Reflection modeling for passive stereo?, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 2291?2299.

A.  Zouhar, Rother, C., and Fuchs, S., ?Semantic 3-D labeling of ear implants using a global parametric transition prior?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9350, pp. 177?184.

D.  Richmond, Kainmueller, D., Glocker, B., Rother, C., and Myers, G., ?Uncertainty-driven forest predictors for vertebra localization and segmentation?, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9349. pp. 653?660, 2015.

D.  Kainmueller, Jug, F., Rother, C., and Myers, G., ?Active graph matching for automatic joint segmentation and annotation of C. elegans?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8673 LNCS, pp. 81?88.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for StructuredDiscrete Energy Minimization Problems?, CoRR, 2014.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, CoRR, vol. abs/1404.0533, 2014.

S.  Zheng, Cheng, M. Ming, Warrell, J., Sturgess, P., Vineet, V., Rother, C., and Torr, P. H. S., ?Dense semantic image segmentation with objects and attributes?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3214?3221.

M.  Horná?ek, Besse, F., Kautz, J., Fitzgibbon, A., and Rother, C., ?Highly overparameterized optical flow using PatchMatch belief propagation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8691 LNCS, pp. 220?234.

M.  Hoai, Torresani, L., De La Torre, F., and Rother, C., ?Learning discriminative localization from weakly labeled data?, in Pattern Recognition, 2014, vol. 47, pp. 1523?1534.

P.  Márquez-Neila, Kohli, P., Rother, C., and Baumela, L., ?Non-parametric higher-order random fields for image segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8694 LNCS, pp. 269?284.

F.  Jug, Pietzsch, T., Kainmüller, D., Funke, J., Kaiser, M., van Nimwegen, E., Rother, C., and Myers, G., ?Optimal joint segmentation and tracking of escherichia coli in the mother machine?, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8677, pp. 25?36, 2014.

F.  Besse, Rother, C., Fitzgibbon, A., and Kautz, J., ?PMBP: PatchMatch Belief Propagation for correspondence field estimation?, International Journal of Computer Vision, vol. 110, pp. 2?13, 2014.

F.  Besse, Rother, C., Fitzgibbon, A., and Kautz, J., ?PMBP: PatchMatch Belief Propagation for correspondence field estimation?, International Journal of Computer Vision, vol. 110, pp. 2?13, 2014.

F.  Besse, Rother, C., Fitzgibbon, A., and Kautz, J., ?PMBP: PatchMatch Belief Propagation for correspondence field estimation?, International Journal of Computer Vision, vol. 110, pp. 2?13, 2014.

M.  Horná?ek, Fitzgibbon, A., and Rother, C., ?SphereFlow: 6 DoF scene flow from RGB-D pairs?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3526?3533.

M.  Sindeev, Konushin, A., and Rother, C., ?Alpha-flow for video matting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, vol. 7726 LNCS, pp. 438?452.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Sungwoong, K., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems?, in CVPR 2013. Proceedings, 2013.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem?, in CVPR, 2013.

M.  Horná?ek, Rhemann, C., Gelautz, M., and Rother, C., ?Depth super resolution by rigid body self-similarity in 3D?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2013, pp. 1123?1130.

U.  Schmidt, Rother, C., Nowozin, S., Jancsary, J., and Roth, S., ?Discriminative Non-blind Deblurring?, 2013.

A.  Hosni, Rhemann, C., Bleyer, M., Rother, C., and Gelautz, M., ?Fast cost-volume filtering for visual correspondence and beyond?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 504?511, 2013.

V.  Vineet, Rother, C., and Torr, P. H. S., ?Higher order priors for joint intrinsic image, objects, and attributes estimation?, in Advances in Neural Information Processing Systems, 2013.

J.  Jancsary, Nowozin, S., and Rother, C., ?Learning convex QP relaxations for structured prediction?, in 30th International Conference on Machine Learning, ICML 2013, 2013, pp. 1952?1960.

V.  Lempitsky, Blake, A., and Rother, C., ?Branch-and-mincut: Global optimization for image segmentation with high-level priors?, Journal of Mathematical Imaging and Vision, vol. 44, pp. 315?329, 2012.

A.  Shekhovtsov, Kohli, P., and Rother, C., ?Curvature prior for MRF-based segmentation and shape inpainting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7476 LNCS, pp. 41?51.

A.  Shekhovtsov, Kohli, P., and Rother, C., ?Curvature prior for MRF-based segmentation and shape inpainting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7476 LNCS, pp. 41?51.

A.  Shekhovtsov, Kohli, P., and Rother, C., ?Curvature prior for MRF-based segmentation and shape inpainting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7476 LNCS, pp. 41?51.

M.  Bleyer, Rhemann, C., and Rother, C., ?Extracting 3D scene-consistent object proposals and depth from stereo images?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7576 LNCS, pp. 467?481.

M.  Bleyer, Rhemann, C., and Rother, C., ?Extracting 3D scene-consistent object proposals and depth from stereo images?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7576 LNCS, pp. 467?481.

J.  Jancsary, Nowozin, S., and Rother, C., ?Loss-specific training of non-parametric image restoration models: A new state of the art?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7578 LNCS, pp. 112?125.

J.  Jancsary, Nowozin, S., and Rother, C., ?Loss-specific training of non-parametric image restoration models: A new state of the art?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7578 LNCS, pp. 112?125.

J.  Jancsary, Nowozin, S., and Rother, C., ?Non-parametric crfs for image labeling?, in NIPS Workshop Modern Nonparametric Methods in Machine Learning, 2012, pp. 1?5.

J.  Jancsary, Nowozin, S., Sharp, T., and Rother, C., ?Regression Tree Fields An efficient, non-parametric approach to image labeling problems?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376?2383.

J.  Jancsary, Nowozin, S., Sharp, T., and Rother, C., ?Regression Tree Fields An efficient, non-parametric approach to image labeling problems?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376?2383.

P.  Kohli, Nickisch, H., Rother, C., and Rhemann, C., ?User-centric learning and evaluation of interactive segmentation systems?, International Journal of Computer Vision, vol. 100, pp. 261?274, 2012.

A.  Mansfield, Gehler, P., Van Gool, L., and Rother, C., ?Visibility maps for improving seam carving?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 6554 LNCS, pp. 131?144.

S.  Meister, Izadi, S., Kohli, P., Hämmerle, M., Rother, C., and Kondermann, D., ?When Can We Use KinectFusion for Ground Truth Acquisition??, in Workshop on Color-Depth Camera Fusion in Robotics, IEEE InternationalConference on Intelligent Robots and Systems, 2012.

S.  Nowozin, Rother, C., Bagon, S., Sharp, T., Yao, B., and Kohli, P., ?Decision tree fields?, in Proceedings of the IEEE International Conference on Computer Vision, 2011, pp. 1668?1675.

K.  He, Rhemann, C., Rother, C., Tang, X., and Sun, J., ?A global sampling method for alpha matting?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 2049?2056.

E.  Töppe, Oswald, M. R., Cremers, D., and Rother, C., ?Image-based 3D modeling via cheeger sets?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6492 LNCS, pp. 53?64.

C.  Rother and Kolmogorov, V., ?Interactive foreground extraction using graph cut?, Advances in Markov \ldots, pp. 1?20, 2011.

S.  Vicente, Rother, C., and Kolmogorov, V., ?Object cosegmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 2217?2224.

M.  Bleyer, Rother, C., Kohli, P., Scharstein, D., and Sinha, S., ?Object stereo Joint stereo matching and object segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 3081?3088.

M.  Bleyer, Rhemann, C., and Rother, C., ?PatchMatch Stereo - Stereo Matching with Slanted Support Windows?, 2011, pp. 14.1?14.11.

P.  Pletscher, Nowozin, S., Kohli, P., and Rother, C., ?Putting MAP back on the map?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6835 LNCS, pp. 111?121.

P.  Pletscher, Nowozin, S., Kohli, P., and Rother, C., ?Putting MAP back on the map?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6835 LNCS, pp. 111?121.

P. Vincent Gehler, Rother, C., Kiefel, M., Zhang, L., and Schölkopf, B., ?Recovering intrinsic images with a global sparsity prior on reflectance?, in Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, 2011.

C.  Rother, ?Sparse Higher Order Functions of Discrete Variables?-Representation and Optimization?, research.microsoft.com, vol. 45, 2011.

S.  Vicente, Kolmogorov, V., and Rother, C., ?Cosegmentation revisited: Models and optimization?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, vol. 6312 LNCS, pp. 465?479.

V.  Lempitsky, Rother, C., Roth, S., and Blake, A., ?Fusion moves for markov random field optimization?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 1392?1405, 2010.

V.  Lempitsky, Rother, C., Roth, S., and Blake, A., ?Fusion moves for markov random field optimization?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 1392?1405, 2010.

V.  Gulshan, Rother, C., Criminisi, A., Blake, A., and Zisserman, A., ?Geodesic star convexity for interactive image segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 3129?3136.

C.  Rother, Kohli, P., Feng, W., and Jia, J., ?Minimizing sparse higher order energy functions of discrete variables?, 2010, pp. 1382?1389.

D.  Singaraju, Rother, C., and Rhemann, C., ?New appearance models for natural image matting?, 2010, pp. 659?666.

A.  Mansfield, Gehler, P., Van Gool, L., and Rother, C., ?Scene carving: Scene consistent image retargeting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, vol. 6311 LNCS, pp. 143?156.

C.  Rhemann, Rother, C., Kohli, P., and Gelautz, M., ?A spatially varying PSF-based prior for alpha matting?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 2149?2156.

M.  Bleyer, Rother, C., and Kohli, P., ?Surface stereo with soft segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 1570?1577.

B.  Glocker, T. Heibel, H., Navab, N., Kohli, P., and Rother, C., ?TriangleFlow: Optical flow with triangulation-based higher-order likelihoods?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, vol. 6313 LNCS, pp. 272?285.

A.  Shesh, Criminisi, A., Rother, C., and Smyth, G., ?3D-aware image editing for out of bounds photography?, in Proceedings - Graphics Interface, 2009, pp. 47?54.

V.  Lempitsky, Kohli, P., Rother, C., and Sharp, T., ?Image segmentation with a bounding box prior?, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 277?284.

S.  Vicente, Kolmogorov, V., and Rother, C., ?Joint optimization of segmentation and appearance models?, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 755?762.

D.  Singaraju, Rother, C., and Rhemann, C., ?New appearance models for natural image matting?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 659?666.

C.  Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., ?A perceptually motivated online benchmark for image matting?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826?1833.

C.  Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., ?A perceptually motivated online benchmark for image matting?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826?1833.

C.  Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., ?A perceptually motivated online benchmark for image matting?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826?1833.

M.  Bleyer, Gelautz, M., Rother, C., and Rhemann, C., ?A stereo approach that handles the matting problem via imagewarping?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 501?508.

D.  Singaraju, Rother, C., and Rhemann, C., ?Supplementary material for New Appearance Models for Image Matting?, 2009.

J.  Shotton, Winn, J., Rother, C., and Criminisi, A., ?TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context?, International Journal of Computer Vision, vol. 81, pp. 2?23, 2009.

M. Hoai Nguyen, Torresani, L., De La Torre, F., and Rother, C., ?Weakly supervised discriminative localization and classification: A joint learning process?, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 1925?1932.

M. Hoai Nguyen, Torresani, L., De La Torre, F., and Rother, C., ?Weakly supervised discriminative localization and classification: A joint learning process?, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 1925?1932.

P. Vincent Gehler, Rother, C., Blake, A., Minka, T., and Sharp, T., ?Bayesian color constancy revisited?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

R.  Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., ?A comparative study of energy minimization methods for Markov random fields with smoothness-based priors?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068?1080, 2008.

R.  Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., ?A comparative study of energy minimization methods for Markov random fields with smoothness-based priors?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068?1080, 2008.

L.  Torresani, Kolmogorov, V., and Rother, C., ?Feature correspondence via graph matching: Models and global optimization?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5303 LNCS, pp. 596?609.

L.  Torresani, Kolmogorov, V., and Rother, C., ?Feature correspondence via graph matching: Models and global optimization?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5303 LNCS, pp. 596?609.

V.  Lempitsky, Roth, S., and Rother, C., ?FusionFlow: Discrete-continuous optimization for optical flow estimation?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

S.  Vicente, Kolmogorov, V., and Rother, C., ?Graph cut based image segmentation with connectivity priors?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

C.  Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., ?High resolution matting via interactive trimap segmentation?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

C.  Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., ?High resolution matting via interactive trimap segmentation?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

C.  Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., ?High resolution matting via interactive trimap segmentation?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

V.  Lempitsky, Blake, A., and Rother, C., ?Image segmentation by branch-and-mincut?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15?29.

V.  Lempitsky, Blake, A., and Rother, C., ?Image segmentation by branch-and-mincut?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15?29.

C.  Rhemann, Rother, C., and Gelautz, M., ?Improving color modeling for alpha matting?, in BMVC 2008 - Proceedings of the British Machine Vision Conference 2008, 2008.

P.  Kohli, Shekhovtsov, A., Rother, C., Kolmogorov, V., and Torr, P., ?On partial optimality in multi-label MRFs?, in Proceedings of the 25th International Conference on Machine Learning, 2008, pp. 480?487.

D.  Hoiem, Rother, C., and Winn, J., ?3D LayoutCRF for multi-view object class recognition and segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.

V.  Kolmogorov, Boykov, Y., and Rother, C., ?Applications of parametric maxflow in computer vision?, in Proceedings of the IEEE International Conference on Computer Vision, 2007.

V.  Kolmogorov, Boykov, Y., and Rother, C., ?Applications of parametric maxflow in computer vision?, in Proceedings of the IEEE International Conference on Computer Vision, 2007.

A.  Kannan, Winn, J., and Rother, C., ?Clustering appearance and shape by learning jigsaws?, in Advances in Neural Information Processing Systems, 2007, pp. 657?664.

A.  Kannan, Winn, J., and Rother, C., ?Clustering appearance and shape by learning jigsaws?, in Advances in Neural Information Processing Systems, 2007, pp. 657?664.

A.  Sellen, Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K., ?Do life-logging technologies support memory for the past? An experimental study using sensecam?, in Conference on Human Factors in Computing Systems - Proceedings, 2007, pp. 81?90.

A.  Criminisi, Blake, A., Rother, C., Shotton, J., and Torr, P. H. S., ?Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming?, International Journal of Computer Vision, vol. 71, pp. 89?110, 2007.

A.  Blake, Criminisi, A., Cross, G., Kolmogorov, V., and Rother, C., ?Fusion of stereo, colour and contrast?, Springer Tracts in Advanced Robotics, vol. 28, 2007.

V.  Lempitsky, Rother, C., and Blake, A., ?LogCut - Efficient graph cut optimization for markov random fields?, in Proceedings of the IEEE International Conference on Computer Vision, 2007.

V.  Kolmogorov and Rother, C., ?Minimizing nonsubmodular functions with graph cuts - A review?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29. pp. 1274?1279, 2007.

C.  Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., ?Optimizing binary MRFs via extended roof duality?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.

C.  Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., ?Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46?, Computing, 2007.

J. François Lalonde, Hoiem, D., Efros, A. A., Rother, C., Winn, J., and Criminisi, A., ?Photo clip art?, in Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, 2007.

V.  Kolmogorov and Rother, C., ?Comparison of energy minimization algorithms for highly connected graphs?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3952 LNCS, pp. 1?15.

V.  Kolmogorov and Rother, C., ?Comparison of energy minimization algorithms for highly connected graphs?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3952 LNCS, pp. 1?15.

C.  Rother, Kolmogorov, V., Minka, T., and Blake, A., ?Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, vol. 1, pp. 994?1000.

V.  Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C., ?Probabilistic fusion of stereo with color and contrast for bilayer segmentation?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 1480?1492, 2006.

J.  Shotton, Winn, J., Rother, C., and Criminisi, A., ?TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3951 LNCS, pp. 1?15.

D. S.  Kirk, Sellen, A. J., Rother, C., and Wood, K. R., ?Understanding photowork?, in Conference on Human Factors in Computing Systems - Proceedings, 2006, vol. 2, pp. 761?770.

V.  Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C., ?Bi-layer segmentation of binocular stereo video?, in Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, 2005, vol. II, pp. 407?414.

C.  Rother, Kumar, S., Kolmogorov, V., and Blake, A., ?Digital tapestry [automatic image synthesis]?, in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005, vol. 1, pp. 589?596.

C.  Rother, Kolmogorov, V., and Blake, A., ?"GrabCut" - Interactive foreground extraction using iterated graph cuts?, in ACM Transactions on Graphics, 2004, vol. 23, pp. 309?314.

C.  Rother, ?Linear Multi-View Reconstruction for Translating Cameras?, Nada.Kth.Se, 2003.

C.  Rother, ?Linear multi-view reconstruction of points, lines, planes and cameras using a reference plane?, in Proceedings of the IEEE International Conference on Computer Vision, 2003, vol. 2, pp. 1210?1217.

C.  Rother, ?Multi-View Reconstruction and Camera Recovery using a Real or Virtual Reference Plane?. 2003.

C.  Rother and Carlsson, S., ?Linear multi view reconstruction and camera recovery using a reference plane?, International Journal of Computer Vision, vol. 49, pp. 117?141, 2002.

C.  Rother and Carlsson, S., ?Linear multi view reconstruction with missing data?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2002, vol. 2351, pp. 209?324.

C.  Rother, ?A new approach to vanishing point detection in architectural environments?, in Image and Vision Computing, 2002, vol. 20, pp. 647?655.

C.  Rother, Carlsson, S., and Tell, D., ?Projective factorization of planes and cameras in multiple views?, in Proceedings - International Conference on Pattern Recognition, 2002, vol. 16, pp. 737?740.

C.  Rother and Carlsson, S., ?Linear multi view reconstruction and camera recovery?, in Proceedings of the IEEE International Conference on Computer Vision, 2001, vol. 1, pp. 42?49.