Publications
2011
Vicente, S, Rother, C and Kolmogorov, V (2011).
Object cosegmentation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2217–2224
Bleyer, M, Rother, C, Kohli, P, Scharstein, D and Sinha, S (2011).
Object stereo Joint stereo matching and object segmentation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 3081–3088
Pletscher, P, Nowozin, S, Kohli, P and Rother, C (2011).
Putting MAP back on the map.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6835 LNCS 111–121
Pletscher, P, Nowozin, S, Kohli, P and Rother, C (2011).
Putting MAP back on the map.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6835 LNCS 111–121
Gehler, P Vincent, Rother, C, Kiefel, M, Zhang, L and Schölkopf, B (2011).
Recovering intrinsic images with a global sparsity prior on reflectance.
Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 2012
Shekhovtsov, A, Kohli, P and Rother, C (2012).
Curvature prior for MRF-based segmentation and shape inpainting.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
7476 LNCS 41–51
Shekhovtsov, A, Kohli, P and Rother, C (2012).
Curvature prior for MRF-based segmentation and shape inpainting.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
7476 LNCS 41–51.
http://arxiv.org/abs/1109.1480 Bleyer, M, Rhemann, C and Rother, C (2012).
Extracting 3D scene-consistent object proposals and depth from stereo images.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
7576 LNCS 467–481.
http://vision.middlebury.edu/stereo/ Bleyer, M, Rhemann, C and Rother, C (2012).
Extracting 3D scene-consistent object proposals and depth from stereo images.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
7576 LNCS 467–481
Jancsary, J, Nowozin, S and Rother, C (2012).
Loss-specific training of non-parametric image restoration models: A new state of the art.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
7578 LNCS 112–125
Jancsary, J, Nowozin, S and Rother, C (2012).
Loss-specific training of non-parametric image restoration models: A new state of the art.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
7578 LNCS 112–125
Jancsary, J, Nowozin, S, Sharp, T and Rother, C (2012).
Regression Tree Fields An efficient, non-parametric approach to image labeling problems.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2376–2383
Jancsary, J, Nowozin, S, Sharp, T and Rother, C (2012).
Regression Tree Fields An efficient, non-parametric approach to image labeling problems.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2376–2383
Mansfield, A, Gehler, P, Van Gool, L and Rother, C (2012).
Visibility maps for improving seam carving.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6554 LNCS 131–144.
http://www.adobe.com/products/photoshop/photoshopextended/features/ Meister, S, Izadi, S, Kohli, P, Hämmerle, M, Rother, C and Kondermann, D (2012).
When Can We Use KinectFusion for Ground Truth Acquisition?.
Workshop on Color-Depth Camera Fusion in Robotics, IEEE International
Conference on Intelligent Robots and Systems 2013
Sindeev, M, Konushin, A and Rother, C (2013).
Alpha-flow for video matting.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
7726 LNCS 438–452
Kappes, J H, Andres, B, Hamprecht, F A, Schnörr, C, Nowozin, S, Batra, D, Sungwoong, K, Kausler, B X, Lellmann, J, Komodakis, N and Rother, C (2013).
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
CVPR 2013. Proceedings
Technical Report (1.35 MB) Kappes, J H, Andres, B, Hamprecht, F A, Schnörr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Lellmann, J, Komodakis, N and Rother, C (2013).
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem.
CVPR Technical Report (1.35 MB) Hornáček, M, Rhemann, C, Gelautz, M and Rother, C (2013).
Depth super resolution by rigid body self-similarity in 3D.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1123–1130
Jancsary, J, Nowozin, S and Rother, C (2013).
Learning convex QP relaxations for structured prediction.
30th International Conference on Machine Learning, ICML 2013. 1952–1960
2014
Kainmueller, D, Jug, F, Rother, C and Myers, G (2014).
Active graph matching for automatic joint segmentation and annotation of C. elegans.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
8673 LNCS 81–88
Kappes, J H, 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 (2014).
A Comparative Study of Modern Inference Techniques for Structured
Discrete Energy Minimization Problems.
CoRR.
http://arxiv.org/abs/1404.0533 Kappes, J H, 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 (2014).
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
CoRR.
abs/1404.0533.
http://hci.iwr.uni-heidelberg.de/opengm2/ Technical Report (3.32 MB) Zheng, S, Cheng, M Ming, Warrell, J, Sturgess, P, Vineet, V, Rother, C and Torr, P H S (2014).
Dense semantic image segmentation with objects and attributes.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 3214–3221.
http://www.robots.ox.ac.uk/˜tvg/http://tu-dresden.de/inf/cvld Hornáček, M, Besse, F, Kautz, J, Fitzgibbon, A and Rother, C (2014).
Highly overparameterized optical flow using PatchMatch belief propagation.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
8691 LNCS 220–234
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