Computational vision, Proceedings of the IEEE, vol.69, issue.5, pp.572-595, 1981. ,
DOI : 10.1109/PROC.1981.12026
Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1222-1239, 2001. ,
DOI : 10.1109/34.969114
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation, In: ECCV, 2006. ,
DOI : 10.1007/11744023_1
A discriminatively trained, multiscale, deformable part model, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587597
Closing the loop in scene interpretation, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587587
Region-based segmentation and object detection, In: NIPS, 2009. ,
Towards total scene understanding: Classification, annotation and segmentation in an automatic framework, 2009. ,
Segmentation and Recognition Using Structure from Motion Point Clouds, In: ECCV, vol.1, pp.44-57, 2008. ,
DOI : 10.1007/978-3-540-88682-2_5
On seeing stuff: the perception of materials by humans and machines, In: SPIE, vol.4299, pp.1-12, 2001. ,
Finding pictures of objects in large collections of images, In: ECCV Workshop on Object Representation in Computer Vision II, pp.335-360, 1996. ,
DOI : 10.1007/3-540-61750-7_36
Learning Spatial Context: Using Stuff to Find Things, In: ECCV, 2008. ,
DOI : 10.1007/978-3-540-88682-2_4
Objects in Context, 2007 IEEE 11th International Conference on Computer Vision, 2007. ,
DOI : 10.1109/ICCV.2007.4408986
Sharing features: efficient boosting procedures for multiclass object detection, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.762-769, 2004. ,
DOI : 10.1109/CVPR.2004.1315241
Image parsing: Unifying segmentation, detection, and recognition, IJCV, 2005. ,
Associative hierarchical CRFs for object class image segmentation, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459248
Multiple kernels for object detection, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459183
A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes, In: ECCV, 2008. ,
DOI : 10.1007/978-3-540-88693-8_54
Combining appearance models and Markov Random Fields for category level object segmentation, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587453
URL : https://hal.archives-ouvertes.fr/inria-00548660
Recognition using regions, In: CVPR, 2009. ,
The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), 2006. ,
DOI : 10.1109/CVPR.2006.305
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.105-112, 2001. ,
DOI : 10.1109/ICCV.2001.937505
Robust higher order potentials for enforcing label consistency, In: CVPR, 2008. ,
Learning and Incorporating Top-Down Cues in Image Segmentation, CVPR, pp.695-702, 2004. ,
DOI : 10.1007/11744023_27
Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383229
Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, 2002. ,
DOI : 10.1109/34.1000236
Normalized cuts and image segmentation, PAMI, vol.22, pp.888-905, 2000. ,
An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.9, pp.1124-1137, 2004. ,
DOI : 10.1109/TPAMI.2004.60
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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.5399
Convergent Tree-Reweighted Message Passing for Energy Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.1568-1583, 2006. ,
DOI : 10.1109/TPAMI.2006.200
Combining Appearance and Structure from Motion Features for Road Scene Understanding, Procedings of the British Machine Vision Conference 2009, 2009. ,
DOI : 10.5244/C.23.62
URL : https://hal.archives-ouvertes.fr/hal-01216879
Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005. ,
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512
Object recognition as ranking holistic figure-ground hypotheses, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5539839
Harmony potentials for joint classification and segmentation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540048