S. Baker, S. Roth, D. Scharstein, M. J. Black, J. P. Lewis et al., A database and evaluation methodology for optical flow, 2007.

M. Bergtholdt, J. Kappes, S. Schmidt, and C. Schnörr, A Study of Parts-Based Object Class Detection Using Complete Graphs, International Journal of Computer Vision, vol.73, issue.2, 2010.
DOI : 10.1007/s11263-009-0209-1

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, 2001.

B. Conejo, S. Leprince, F. Ayoub, and J. P. Avouac, Fast global stereo matching via energy pyramid minimization, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.3, 2014.
DOI : 10.5194/isprsannals-II-3-41-2014
URL : https://hal.archives-ouvertes.fr/hal-01081593

F. Pedro, D. P. Felzenszwalb, and . Huttenlocher, Efficient graph-based image segmentation. IJCV, 2004.

F. Pedro, D. P. Felzenszwalb, and . Huttenlocher, Pictorial structures for object recognition. IJCV, 2005.

P. F. Felzenszwalb and D. P. Huttenlocher, Efficient belief propagation for early vision, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004.
DOI : 10.1109/CVPR.2004.1315041

W. T. Freeman and E. C. Pasztor, Learning low-level vision, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999.
DOI : 10.1109/ICCV.1999.790414
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.8559

X. Hu and P. Mordohai, A quantitative evaluation of confidence measures for stereo vision, PAMI, 2012.

J. H. Kappes, B. Andres, F. A. Hamprecht, C. Schnorr, S. Nowozin et al., A comparative study of modern inference techniques for discrete energy minimization problems, CVPR, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00865699

J. Kim, V. Kolmogorov, and R. Zabih, Visual correspondence using energy minimization and mutual information, ICCV, 2003.

S. Kim, C. Yoo, S. Nowozin, and P. Kohli, Image segmentation using higher-order correlation clustering, 2014.

T. Kim, S. Nowozin, P. Kohli, and C. D. Yoo, Variable grouping for energy minimization, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995645

T. Kohlberger, C. Schnorr, A. Bruhn, and J. Weickert, Domain decomposition for variational optical-flow computation, IEEE Transactions on Image Processing, vol.14, issue.8, 2005.
DOI : 10.1109/TIP.2005.849778

P. Kohli, V. S. Lempitsky, and C. Rother, Uncertainty Driven Multi-scale Optimization, DAGM-Symposium, 2010.
DOI : 10.1007/978-3-642-15986-2_25

V. Kolmogorov, Convergent Tree-Reweighted Message Passing for Energy Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, 2006.
DOI : 10.1109/TPAMI.2006.200

V. Kolmogorov and R. Zabin, What energy functions can be minimized via graph cuts? PAMI, 2004.

N. Komodakis, N. Paragios, and G. Tziritas, MRF Optimization via Dual Decomposition: Message-Passing Revisited, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408890
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.3345

N. Komodakis, G. Tziritas, and N. Paragios, Fast, Approximately Optimal Solutions for Single and Dynamic MRFs, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383095

M. , P. Kumar, and D. Koller, Map estimation of semi-metric mrfs via hierarchical graph cuts, UAI, 2009.

M. P. Kumar, P. H. Ton, and A. Zisserman, OBJ CUT, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.249

H. Lombaert, Y. Sun, L. Grady, and C. Xu, A multilevel banded graph cuts method for fast image segmentation, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.13

T. Meltzer, C. Yanover, and Y. Weiss, Globally optimal solutions for energy minimization in stereo vision using reweighted belief propagation, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.110

P. Perez and F. Heitz, Restriction of a Markov random field on a graph and multiresolution statistical image modeling, IEEE Transactions on Information Theory, vol.42, issue.1, 1996.
DOI : 10.1109/18.481788

S. Roth and M. J. Black, Fields of Experts: A Framework for Learning Image Priors, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.160

C. Rother, V. Kolmogorov, V. Lempitsky, and M. Szummer, Optimizing Binary MRFs via Extended Roof Duality, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383203

A. Shekhovtsov, Maximum Persistency in Energy Minimization, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.152

J. Shi and J. Malik, Normalized cuts and image segmentation, PAMI, 2000.

R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov et al., 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, issue.6, 2008.
DOI : 10.1109/TPAMI.2007.70844

M. J. Wainwright, T. S. Jaakkola, and A. S. Willsky, MAP Estimation Via Agreement on Trees: Message-Passing and Linear Programming, IEEE Transactions on Information Theory, vol.51, issue.11, 2005.
DOI : 10.1109/TIT.2005.856938