M. Y. Yang and W. Forstner, A hierarchical conditional random field model for labeling and classifying images of man-made scenes, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011.
DOI : 10.1109/ICCVW.2011.6130243

R. Tylecek and R. Sara, Spatial Pattern Templates for Recognition of Objects with Regular Structure, GCPR, 2013.
DOI : 10.1007/978-3-642-40602-7_39

H. Riemenschneider, U. Krispel, W. Thaller, M. Donoser, S. Havemann et al., Irregular lattices for complex shape grammar facade parsing, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.
DOI : 10.1109/CVPR.2012.6247857

O. Teboul, I. Kokkinos, L. Simon, P. Koutsourakis, and N. Paragios, Shape grammar parsing via Reinforcement Learning, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995319
URL : https://hal.archives-ouvertes.fr/hal-00856135

A. Martinovic and L. Van-gool, Bayesian Grammar Learning for Inverse Procedural Modeling, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.33

Z. Tu, Auto-context and its application to high-level vision tasks, CVPR, 2008.

D. H. Wolpert, Stacked generalization, Neural Networks, vol.5, issue.2, 1992.
DOI : 10.1016/S0893-6080(05)80023-1

A. Martinovic, M. Mathias, J. Weissenberg, and L. Van-gool, A threelayered approach to facade parsing, ECCV, 2012.

A. Cohen, A. G. Schwing, and M. Pollefeys, Efficient Structured Parsing of Facades Using Dynamic Programming, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.410

M. Kozi´nskikozi´nski, G. Obozinski, and R. Marlet, Beyond procedural facade parsing: Bidirectional alignment via linear programming, ACCV, 2014.

M. Kozinski, R. Gadde, S. Zagoruyko, R. Marlet, and G. Obozinski, A MRF shape prior for facade parsing with occlusions, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
DOI : 10.1109/CVPR.2015.7298899
URL : https://hal.archives-ouvertes.fr/hal-01232598

M. Mathias, A. Martinovi´cmartinovi´c, and L. Van-gool, ATLAS: A Three-Layered Approach to Facade Parsing, International Journal of Computer Vision, vol.32, issue.4, 2015.
DOI : 10.1109/CVPR.2010.5540192

H. Riemenschneider, A. Bódis-szomorú, J. Weissenberg, and L. Van-gool, Learning Where to Classify in Multi-view Semantic Segmentation, ECCV, 2014.
DOI : 10.1007/978-3-319-10602-1_34

A. Martinovic, J. Knopp, H. Riemenschneider, and L. Van-gool, 3D all the way: Semantic segmentation of urban scenes from start to end in 3D, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
DOI : 10.1109/CVPR.2015.7299075

L. Ladick-`-ladick-`-y, P. Sturgess, K. Alahari, C. Russell, and P. H. Torr, What, where and how many? combining object detectors and crfs, ECCV, 2010.

J. Tighe and S. Lazebnik, Superparsing, ECCV, 2010.
DOI : 10.1109/TPAMI.2008.128

B. Fröhlich, E. Rodner, and J. Denzler, Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach, ACCV, 2012.
DOI : 10.1007/978-3-642-37331-2_17

]. C. Gatta and F. Ciompi, Stacked sequential scale-space taylor context, 2014.
DOI : 10.1109/tpami.2013.2297706

V. Jampani, R. Gadde, and P. V. Gehler, Efficient Facade Segmentation Using Auto-context, 2015 IEEE Winter Conference on Applications of Computer Vision, 2015.
DOI : 10.1109/WACV.2015.143
URL : https://hal.archives-ouvertes.fr/hal-01743579

J. Shotton, J. Winn, C. Rother, and A. Criminisi, TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation, ECCV, 2006.
DOI : 10.1109/ICCV.2005.9

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512

T. Ojala, M. Pietikäinen, and T. Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, 2002.
DOI : 10.1109/TPAMI.2002.1017623
URL : http://www.ee.oulu.fi/research/imag/texture/publications/show_pdf.php?ID=94

S. Gould, DARWIN: A framework for machine learning and computer vision research and development, p.2012

D. Ok, M. Kozinski, R. Marlet, and N. Paragios, High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, 2012.
DOI : 10.1109/3DIMPVT.2012.25
URL : https://hal.archives-ouvertes.fr/hal-00743043

M. Kozinski and R. Marlet, Image parsing with graph grammars and markov random fields, WACV, 2014.
DOI : 10.1109/wacv.2014.6836030
URL : https://hal.archives-ouvertes.fr/hal-01095284

P. Dollár, Z. Tu, P. Perona, and S. Belongie, Integral Channel Features, Procedings of the British Machine Vision Conference 2009, 2009.
DOI : 10.5244/C.23.91

P. Dollár, Piotr's Computer Vision Matlab Toolbox (PMT), 2014.

A. E. Johnson and M. Hebert, Using spin images for efficient object recognition in cluttered 3D scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.5, 1999.
DOI : 10.1109/34.765655

P. Gehler and S. Nowozin, On feature combination for multiclass object classification, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459169

B. Frohlich, E. Rodner, and J. Denzler, A Fast Approach for Pixelwise Labeling of Facade Images, 2010 20th International Conference on Pattern Recognition, 2010.
DOI : 10.1109/ICPR.2010.742

M. Everingham, L. Van-gool, C. K. Williams, J. Winn, and A. Zisserman, The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, 2010.
DOI : 10.1371/journal.pcbi.0040027

F. Korc and W. Forstner, eTRIMS Image Database for interpreting images of man-made scenes, 2009.

B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman, LabelMe: A Database and Web-Based Tool for Image Annotation, International Journal of Computer Vision, vol.3, issue.1, 2008.
DOI : 10.1007/s11263-007-0090-8

R. Gadde, R. Marlet, and N. Paragios, Learning Grammars for Architecture-Specific Facade Parsing, International Journal of Computer Vision, vol.22, issue.3, 2016.
DOI : 10.1145/775047.775058
URL : https://hal.archives-ouvertes.fr/hal-01069379

S. Nowozin, Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.77

N. Ripperda and C. Brenner, Reconstruction of Fa??ade Structures Using a Formal Grammar and RjMCMC, DAGM, 2006.
DOI : 10.1007/11861898_75