Source: https://hci.iwr.uni-heidelberg.de/vislearn/publications/
Timestamp: 2019-04-26 16:10:27+00:00

Document:
“Markov Random Fields for Vision and Image Processing“, Edited by Andrew Blake, Pushmeet Kohli and Carsten Rother, MIT press 2011.
B. Savchynskyy Discrete Graphical Models – An Optimization Perspective Text-book, under review.
F. Besse, C. Rother, A.W. Fitzgibbon, J. Kautz, “PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation”, International Journal of Computer Vision 110(1): 2-13, 2014.
F. Jug, T. Pietzsch, D. Kainmüller, J. Funke, M. Kaiser, E. van Nimwegen, C. Rother, G. Myers, “Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine“, BAMBI@MICCAI 2014.
M. Hornacek, F. Besse, J. Kautz, A. Fitzgibbon, C. Rother, “Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation“, ECCV 2014.
P. Márquez-Neila, P. Kohli, C. Rother, L. Baumela, “Non-parametric Higher-order Random Fields for Image Segmentation”, ECCV 2014.
D. Kainmueller, F. Jug, C. Rother, G. Myers, “Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans“, MICCAI 2014.
M. Hoai, L. Torresani, F. De la Torre, C. Rother, “Learning discriminative localization from weakly labeled data”, Pattern Recognition, vol. 47/3, 2014, 1523-1534.
V. Vineet, C. Rother, P.H.S. Torr, “Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation”, NIPS 2013.
J. Kappes, B. Andres, F. Hamprecht, C. Schnoerr, S. Nowozin, D. Batra, S. Kim, B. Kausler, J. Lellmann, N. Komodakis, C. Rother, “A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems”, CVPR 2013.
M. Hornacek, C. Rhemann, M. Gelautz, C. Rother, “Depth Super Resolution by Rigid Body Self-Similarity in 3D”, CVPR 2013.
J. Jancsary, S. Nowozin, C. Rother, “Learning Convex QP Relaxations for Structured Prediction”, ICML 2013.
U. Schmidt, C. Rother, S. Nowozin, J. Jancsary, S. Roth, “Discriminative Non-blind Deblurring“, CVPR 2013, Best Student Paper Award.
S. Nowozin, C. Rother, S. Bagon, T. Sharp, B. Yao, P. Kohli, “Decision Tree Fields: An Efficient Non-parametric Random Field Model for Image Labeling, in Decision Forests for Computer Vision and Medical Image Analysis”, Springer, 2013.
L. Torresani, V. Kolmogorov, C. Rother, “A Dual Decomposition Approach to Feature Correspondence”, suppl. material, PAMI 2013.
J. Jancsary, S. Nowozin, C. Rother, “Non-parametric CRFs for Image Labeling”, NIPS Workshop on Modern Nonparametric Methods in Machine Learning, 2012.
M. Bleyer, C. Rhemann, C. Rother, “Extracting 3D Scene-consistent Object Proposals and Depth from Stereo Images“, sup.Material, ECCV 2012.
J. Jancsary, S. Nowozin, C. Rother, “Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art, sup.Material”, 12th European Conference on Computer Vision, 2012.
J. Jancsary, S. Nowozin, T. Sharp, C. Rother, “Regression Tree Fields – An Efficient, Non-parametric Approach to Image Labeling Problems”, sup.Material, CVPR 2012.
A. Shekhovtsov, P. Kohli, C. Rother, “Curvature Prior for MRF-based Segmentation and Shape Inpainting”, Tech.Report, DAGM 2012.
V. Lempitsky, A. Blake, C. Rother, “Branch-and-Mincut: Global Optimization for Image Segmentation with High-Level Priors”, JMIV 2012.
A. Hosni, C. Rhemann, M. Bleyer, C. Rother, M. Gelautz, “Fast Cost-Volume Filtering for Visual Correspondence and Beyond”, PAMI 2012.
P. Kohli, C. Rother, “Higher-Order Models in Computer Vision, in Image Processing and Analysis with Graphs”, CRC Press, 2012.
S. Nowozin, C. Rother, S. Bagon, T. Sharp, B. Yao, P. Kohli, “Decision Tree Fields: An Efficient Non-Parametric Random Field Model for Image Labelling, in Decision Forests: for Computer Vision and Medical Image Analysis”, Springer: Advances in Computer Vision and Pattern Recognition, 2012.
F. Besse, C. Rother, A. Fitzgibbon, J. Kautz, “PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation”, sup.Material, BMVC – Best Industrial Impact Prize award, 2012.
P. Kohli, H. Nickisch, C. Rother, C. Rhemann, “User-centric Learning and Evaluation of Interactive Segmentation Systems”, IJCV 2012.
M. Sindeev, A. Konushin, C. Rother, “Alpha flow for video matting”, ACCV 2012.
S. Meister, S. Izadi, P. Kohli, M. Hämmerle, C. Rother, D. Kondermann, “When Can We Use KinectFusion for Ground Truth Acquisition?”, Workshop on Color-Depth Camera Fusion in Robotics, IROS, 2012.
A. Mansfield, M. Prasad, C. Rother, T. Sharp, P. Kohli, L. Van Gool, “Transforming Image Completion”, BMVC 2011.
A. Criminisi, T. Sharp, C. Rother, P. Perez, “Geodesic Image and Video Editing”, Win Video, Invited talk at SIGGRAPH, 2011, Vancouver. Published in ACM Transactions on Graphics, 2011.
C. Rhemann, A. Hosni, M. Bleyer, C. Rother, M. Gelautz, “Fast Cost-Volume Filtering for Visual Correspondence and Beyond”, see also, CVPR 2011.
S. Vicente, C. Rother, V. Kolmogorov, “Object Cosegmentation”, CVPR 2011.
K. He, C. Rhemann, C. Rother, X. Tang, J. Sun, “A Global Sampling Method for Alpha Matting“, CVPR 2011.
M. Bleyer, C. Rother, P. Kohli, D. Scharstein, S. Sinha, “Object Stereo – Joint Stereo Matching and Object Segmentation”, CVPR 2011.
C. Rother, P. Kohli, “Sparse Higher Order Functions of Discrete Variables — Representation and Optimization”, no. MSR-TR-2011-45, April 2011.
C. Rother, V. Kolmogorov, Y. Boykov, A. Blake, “Interactive Foreground Extraction using graph cut”, no. MSR-TR-2011-46, March 2011.
P. Pletscher, S. Nowozin, P. Kohli, C. Rother, “Putting MAP back on the map”, sup.Material, DAGM 2011.
M. Bleyer, C. Rhemann, C. Rother, “PatchMatch Stereo – Stereo Matching with Slanted Support Windows”, in BMVC, 2011.
S. Nowozin, C. Rother, S. Bagon, T. Sharp, B. Yao, P. Kohli, “Decision Tree Fields”, sup.Material, ICCV 2011.
P. Gehler, C. Rother, M. Kiefel, L. Zhang, B. Schoelkopf, “Recovering Intrinsic Images with a Global Sparsity”, see also, NIPS 2011.
E. Toeppe, M. Oswald, D. Cremers, C. Rother, “Image-based 3D modeling via Cheeger sets“, ACCV 2010, HONORABLE MENTION.
H. Nickisch, C. Rother, P. Kohli, C. Rhemann, “Learning an Interactive Segmentation System“, sup.Material, BEST PAPER AWARD, ICVGIP 2010.
M. Bleyer, C. Rother, P. Kohli, “Surface Stereo with Soft Segmentation”, sup.Material, CVPR 2010.
C. Rhemann, C. Rother, P. Kohli, M. Gelautz, “A Spatially Varying PSF-based Prior for Alpha Matting“, CVPR 2010.
V. Gulshan, C. Rother, A. Criminisi, A. Blake, A. Zisserman, “Geodesic Star Convexity for Interactive Image Segmentation”, see also, CVPR 2010.
V. Lempitsky, C. Rother, S. Roth, A. Blake, “Fusion Moves for Markov Random Field Optimization”, TPAMI, vol. 32, no. 8, pp. 1392-1405, 2010.
P. Kohli, V. Lempitsky, C. Rother, “Uncertainty Driven Multi-Scale Optimization”, DAGM 2010.
B. Glocker, H. Heibel, N. Navab, P. Kohli, C. Rother, “TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods”, ECCV 2010.
A. Mansfield, P. Gehler, L. Van Gool, C. Rother, “Scene Carving: Scene Consistent Image Retargeting”, ECCV 2010.
A. Mansfield, P. Gehler, L. Van Gool, C. Rother, “Visibility Maps for Improving Seam Carving”, Media Retargeting Workshop, ECCV 2010.
S. Vicente, V. Kolmogorov, C. Rother, “Cosegmentation Revisited: Models and Optimization”, ECCV 2010.
V. Lempitsky, C. Rother, S. Roth, A. Blake, “Fusion Moves for Markov Random Field Optimization”, no. MSR-TR-2009-60, May 2009.
D. Singaraju, C. Rother, C. Rhemann, “New Appearance Models for Image Matting”, sup.Material, Tech.Report, CVPR 2009.
C. Rother, P. Kohli, W. Feng, J. Jia, “Minimizing Sparse Higher Order Energy Functions of Discrete Variables”, CVPR 2009.
J. Shotton, J. Winn, C. Rother, A. Criminisi, “TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context”, IJCV 2009.
A. Shesh, A. Criminisi, C. Rother, G. Smyth, “3D-aware Image Editing for Out of Bounds Photography”, sup.Material, QuickTime movie, see also, Graphics Interface 2009.
V. Lempitsky, P. Kohli, C. Rother, T. Sharp, “Image Segmentation with A Bounding Box Prior”, Tech.Report, in ICCV, 2009.
M.H. Nguyen, L. Torresani, F. de la Torre, C. Rother, “Weakly supervised discriminative localization and classification: a joint learning process”, Tech.Report, in ICCV, 2009.
C. Rhemann, C. Rother, J. Wang, M. Gelautz, P. Kohli, P. Rott, “A Perceptually Motivated Online Benchmark for Image Matting”, sup.Material, Tech.Report, in CVPR, 2009.
S. Roth, V. Lempitsky, C. Rother, “Discrete-Continuous Optimization for Optical Flow Estimation”, in Statistical and Geometrical Approaches to Visual Motion Analysis, vol. LNCS vol. 5604, pp. 1-22,Springer Verlag, 2009.
S. Vicente, V. Kolmogorov, C. Rother, “Joint optimization of segmentation and appearance models”, ICCV 2009.
O.J. Woodford, C. Rother, V. Kolmogorov, “A Global Perspective on MAP Inference for Low-Level Vision”, in ICCV, 2009.
M. Bleyer, M. Gelautz, C. Rother, C. Rhemann, “A Stereo Approach that Handles the Matting Problem via Image Warping”, in CVPR, 2009.
L. Torresani, V. Kolmogorov, C. Rother, “Feature Correspondence via Graph Matching: Models and Global Optimization”, Tech.Report, in ECCV, October 2008.
A. Rav-Acha, P. Kohli, C. Rother, A.W. Fitzgibbon, “Unwrap Mosaics: A new representation for video editing”, SIGGRAPH 2008, vol. 27, no. 3, Association for Computing Machinery, August 2008.
V. Lempitsky, S. Roth, C. Rother, “Fusion Flow:Discrete-Continuous Optimization for Optical Flow Estimation”, CVPR 2008.
R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, C. Rother, “A Comparative Study of Energy Minimization Methods for Markov RandomFields with Smoothness-Based Priors”, see also, TPAMI, vol. 30, no.6, pp. 1068-1080, 2008.
C. Rhemann, C. Rother, A. Rav-Acha, T. Sharp, “High Resolution Matting via Interactive Trimap Segmentation”, sup.Material, Tech.Report, in CVPR, June 2008.
P. Kohli, A. Shekhovtsov, C. Rother, V. Kolmogorov, P.H. S. Torr, “On partial optimality in multi-label MRFs”, Proceedingsof International Conference on Machine Learning, 2008.
V. Lempitsky, A. Blake, C. Rother, “Image Segmentation by Branch-and-Mincut”, Tech.Report, ECCV 2008.
C. Rhemann, C. Rother, M. Gelautz, “Improving Color Modeling for Alpha Matting”, BMVC 2008.
S. Vicente, V. Kolmogorov, C. Rother, “Graph cut based image Segmentation”, CVPR 2008.
S. Vicente, V. Kolmogorov, C. Rother, “Graph cut based image segmentation with connectivity Priors”, CVPR 2008.
P. Gehler, C. Rother, A. Blake, T. Minka, T. Sharp, “Bayesian Color Constancy Revisited”, see also, in CVPR, 2008.
V. Kolmogorov, Y. Boykov, C. Rother, “Applications of parametric maxflow in computer Vision”, Tech.Report, in ICCV, October 2007.
C. Rother, V. Kolmogorov, V. Lempitsky, M. Szummer, “Optimizing Binary MRFs via Extended Roof Duality”, Tech.Report, CVPR 2007.
A. Kannan, J. Winn, C. Rother, “Clustering appearance and shape by learning jigsaws”, Advances in Neural Information Processing Systems, MIT Press, 2007.
J.F. Lalonde, D. Hoiem, A.A. Efros, J. Winn, C. Rother, A. Criminisi, “Photo Clip Art”, Proc. ACM SIGGRAPH, 2007.
A. Criminisi, J. Shotton, A. Blake, C. Rother, P.H.S. Torr, “Efficient Dense Stereo with Occlusion for New View-Synthesis by Four-State Dynamic Programming”, IJCV 2007.
D. Hoeim, C. Rother, J. Winn, “3D Layout CRF for Multi-View Object Class Recognition and Segmentation”, CVPR 2007.
V. Lempitsky, C. Rother, A. Blake, “LogCut- Efficient Graph Cut Optimization for Markov Random Fields“, in ICCV, 2007.
V. Kolmogorov, C. Rother, “Minimizing non-submodular functions with graph cuts – a review”, PAMI,vol. 29, no. 7, 2007.
A.J. Sellen, A. Fogg, M. Aitken, S. Hodges, C. Rother, K. Wood, “Do Life-Logging Technologies Support Memory for the Past? An Experimental Study Using SenseCam”, inCHI, 2007.
C. Rother, L. Bordeaux, Y. Hamadi, A. Blake, “AutoCollage”, in ACM Transactions on Graphics (SIGGRAPH), 2006.
C. Rother, V. Kolmogorov, T. Minka, A. Blake, “Cosegmenting Image Pairs by Matching Global Histograms”, Tech.Report, CVPR 2006.
V. Kolmogorov, C. Rother, “Comparison of energy minimization algorithms for highly connected Graphs”, Tech.Report, ECCV 2006.
R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, C. Rother, “A Comparative Study of Energy Minimization Methods for Markov RandomFields”, ECCV 2006.
D.S. Kirk, A.J. Sellen, C. Rother, K.R. Wood, “Understanding Photowork”, Proceedings of CHI Conference on Human Factorsin Computing Systems, Associationfor Computing Machinery, 2006.
A. Kannan, J. Winn, C. Rother, “Clusteringappearance and shape by learning jigsaws”, NIPS 2006.
J. Shotton, J. Winn, C. Rother, A. Criminisi, “TextonBoost:Joint Appearance, Shape and Context Modeling for Mulit-Class Object Recognition and Segmentation”, ECCV 2006.
V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, C. Rother, “Probabilistic fusion of stereo with color and contrast for bi-layer Segmentation”, in PAMI, MSR-TR-2005-35, pp. 18, January 2006.
V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, C. Rother, “Probabilistic fusion of stereo with color and contrast for video Segmentation”, no. MSR-TR-2005-36, March 2005.
V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, C. Rother, “Bi-layer segmentation of binocular stereo Video“, Proc. CVPR. Winner of BEST PAPER HONORABLE MENTION AWARD, 2005.
C. Rother, S. Kumar, V. Kolmogorov, A. Blake, “Digital Tapestry”, CVPR 2005.
A. Blake, A. Criminisi, G. Cross, V. Kolmogorov, Carsten Rother, “Fusion of stereo, color and contrast”, ISRR 2005.
C. Rother, V. Kolmogorov, A. Blake, “GrabCut-Interactive Foreground Extraction using Iterated Graph Cuts“, ACM Transactions onGraphics (SIGGRAPH), 2004.
A. Blake, C. Rother, M. Brown, P. Perez, P. Torr, “Interactive Image Segmentation using an adaptive GMMRF model”, ECCV 2004.
C. Rother, “LinearMulti-View Reconstruction for Translating Cameras”, SSAB 2003.
C. Rother, “LinearMulti-View Reconstruction of Points, Lines, Planes and Cameras, using aReference Plane”, ICCV 2003.
C. Rother, “Multi-View Reconstruction and Camera Recovery using a Real or Virtual Reference Plane; PHD THESIS”, January 2003.
A. Criminisi, J. Shotton, A. Blake, C. Rother, P.H.S. Torr, “Efficient Dense Stereo and Novel-view Synthesis for Gaze Manipulation One-to-one Teleconferencing”, MSR-TR-2003-59, 2003.
C. Rother, Stefan Carlsson, “Linear Multi View Reconstruction with Missing Data”, ECCV 2002.
C. Rother, “A new Approach for Vanishing Point Detection in Architectural Environments“, in Journal Image and Vision Computing (IVC; Special Issue on BMVC 2000), vol. 20, no. 9-10,pp. 647-656, 2002.
C. Rother, Stefan Carlsson, “Linear Multi View reconstruction and Camera Recovery using a Reference Plane”, in Int. Journal Computer Vision (IJCV; Special Issue on Multi-View Modeling and Rendering of Visual Scenes), vol. 49, no. 2/3, pp. 117-141, 2002.
C. Rother, Stefan Carlsson, D. Tell, “Projective Factorization of Planes and Cameras in Multiple Views”, ICPR 2002.
C. Rother, S. Carlsson, “MultiView reconstruction and Camera Recovery”, ICCV 2001.
C. Rother, “A new Approach for Vanishing Point Detection in Architectural Environments”, in BMVC 2000.
C. Rother, H.-H. Nagel, “Analysing the Localisation of Road Vehicles for Tracking”, SSAB 2000.
C. Rother, “Analyse initialer Positionsschätzungen bei der Bildfolgenauswertung”, DAGM 1999.

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