Publications
Conference Paper
Lalonde, J François, Hoiem, D, Efros, A A, Rother, C, Winn, J and Criminisi, A (2007).
Photo clip art.
Proceedings of the ACM SIGGRAPH Conference on Computer Graphics.
http://graphics.cs.cmu.edu/projects/photoclipart/ Michel, F, Krull, A, Brachmann, E, Yang, M Ying, Gumhold, S and Rother, C (2015).
Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. 181.1–181.11
Krull, A, Brachmann, E, Nowozin, S, Michel, F, Shotton, J and Rother, C (2017).
PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning.
Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.
2017-Janua 2566–2574.
http://arxiv.org/abs/1612.03779 Rother, C, Carlsson, S and Tell, D (2002).
Projective factorization of planes and cameras in multiple views.
Proceedings - International Conference on Pattern Recognition.
16 737–740
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 Nair, R, Fitzgibbon, A, Kondermann, D and Rother, C (2015).
Reflection modeling for passive stereo.
Proceedings of the IEEE International Conference on Computer Vision.
2015 Inter 2291–2299
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 (2010).
Scene carving: Scene consistent image retargeting.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6311 LNCS 143–156.
www.fujifilm.com/products/3d/camera/finepix_ Zouhar, A, Rother, C and Fuchs, S (2015).
Semantic 3-D labeling of ear implants using a global parametric transition prior.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
9350 177–184
Rhemann, C, Rother, C, Kohli, P and Gelautz, M (2010).
A spatially varying PSF-based prior for alpha matting.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2149–2156
Hornáček, M, Fitzgibbon, A and Rother, C (2014).
SphereFlow: 6 DoF scene flow from RGB-D pairs.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 3526–3533
Bleyer, M, Gelautz, M, Rother, C and Rhemann, C (2009).
A stereo approach that handles the matting problem via imagewarping.
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.
2009 IEEE 501–508
Sellent, A, Rother, C and Roth, S (2016).
Stereo video deblurring.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
9906 LNCS 558–575
Bleyer, M, Rother, C and Kohli, P (2010).
Surface stereo with soft segmentation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1570–1577
Glocker, B, T. Heibel, H, Navab, N, Kohli, P and Rother, C (2010).
TriangleFlow: Optical flow with triangulation-based higher-order likelihoods.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6313 LNCS 272–285.
http://vision.middlebury.edu/flow/ Schilling, H, Diebold, M, Rother, C and Jähne, B (2018).
Trust your Model: Light Field Depth Estimation with Inline Occlusion Handling.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 4530–4538
Brachmann, E, Michel, F, Krull, A, Yang, M Ying, Gumhold, S and Rother, C (2016).
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
2016-Decem 3364–3372
Brachmann, E, Michel, F, Krull, A, Yang, M Ying, Gumhold, S and Rother, C (2016).
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
2016-Decem 3364–3372
Kirk, D S, Sellen, A J, Rother, C and Wood, K R (2006).
Understanding photowork.
Conference on Human Factors in Computing Systems - Proceedings.
2 761–770
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 Conference Proceedings
Haller, S, Prakash, M, Hutschenreiter, L, Pietzsch, T, Rother, C, Jug, F, Swoboda, P and Savchynskyy, B (2020).
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment.
AISTATS 2020
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