Latent Dirichlet allocation, Journal of Machine Learning Research, vol.3, pp.993-1022, 2003. ,
Shape Guided Object Segmentation, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), 2006. ,
DOI : 10.1109/CVPR.2006.276
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.7183
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001. ,
DOI : 10.1109/ICCV.2001.937505
Classification and Regression Trees, 1984. ,
Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes, 2007 IEEE 11th International Conference on Computer Vision, 2007. ,
DOI : 10.1109/ICCV.2007.4408965
Visual categorizationwith bags of keypoints, ECCV workshop on Statistical Learning in ComputerVision, 2004. ,
A Simple High Performance Approach to Semantic Segmentation, Procedings of the British Machine Vision Conference 2008, 2008. ,
DOI : 10.5244/C.22.22
Human Detection Using Oriented Histograms of Flow and Appearance, European Conference on Computer Vision, 2006. ,
DOI : 10.1023/A:1008162616689
URL : https://hal.archives-ouvertes.fr/inria-00548587
The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, 2007. ,
DOI : 10.1007/s11263-009-0275-4
Learning object categories from Google's image search, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005. ,
DOI : 10.1109/ICCV.2005.142
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.522.8976
Stochastic relaxation, gibbs distributions , and the bayesian restoration of images, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.6, issue.6, pp.721-741, 1984. ,
Extremely randomized trees, Machine Learning, pp.3-42, 2006. ,
DOI : 10.1007/s10994-006-6226-1
URL : https://hal.archives-ouvertes.fr/hal-00341932
Unsupervised learning by probabilistic latent semantic analysis, Machine Learning, pp.177-196, 2001. ,
Creating efficient codebooks for visual recognition, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005. ,
DOI : 10.1109/ICCV.2005.66
URL : https://hal.archives-ouvertes.fr/inria-00548511
Discriminative Random Fields, International Journal of Computer Vision, vol.21, issue.1, pp.179-201, 2006. ,
DOI : 10.1007/s11263-006-7007-9
URL : http://repository.cmu.edu/cgi/viewcontent.cgi?article=1360&context=robotics
Conditional random fields: probabilistic models for segmenting and labeling sequence data, International Conference on Machine Learning, 2001. ,
Latent Mixture Vocabularies for Object Categorization, Procedings of the British Machine Vision Conference 2006, 2006. ,
DOI : 10.5244/C.20.98
URL : https://hal.archives-ouvertes.fr/hal-00203721
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
Interleaved Object Categorization and Segmentation, Procedings of the British Machine Vision Conference 2003, 2003. ,
DOI : 10.5244/C.17.78
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.3586
Learning to combine bottom-up and topdown segmentation, European Conference on Computer Vision, 2006. ,
DOI : 10.1007/s11263-008-0166-0
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.9160
Lazy snapping, ACM Transactions on Graphics, vol.23, issue.3, pp.303-308, 2004. ,
DOI : 10.1145/1015706.1015719
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931
Learning to detect natural image boundaries using local brightness, color, and texture cues, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.5, pp.530-549, 2004. ,
DOI : 10.1109/TPAMI.2004.1273918
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.2575
Randomized Clustering Forests for Image Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.9, pp.1632-1646, 2008. ,
DOI : 10.1109/TPAMI.2007.70822
URL : https://hal.archives-ouvertes.fr/inria-00548666
Markov chain sampling methods for dirichlet process mixture models, 1998. ,
DOI : 10.1080/10618600.2000.10474879
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.3668
Smooth Image Segmentation by Nonparametric Bayesian Inference, European Conference on Computer Vision, 2006. ,
DOI : 10.1007/11744023_35
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.2696
Object Recognition by Integrating Multiple Image Segmentations, European Conference on Computer Vision, 2008. ,
DOI : 10.1007/978-3-540-88690-7_36
URL : https://hal.archives-ouvertes.fr/inria-00548655
"GrabCut", ACM Transactions on Graphics, vol.23, issue.3, pp.309-314, 2004. ,
DOI : 10.1145/1015706.1015720
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation, European Conference on Computer Vision, 2006. ,
DOI : 10.1007/11744023_1
Semantic texton forests for image categorization and segmentation, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587503
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.3036
Image modeling with position-encoding dynamic trees, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.7, pp.859-871, 2003. ,
DOI : 10.1109/TPAMI.2003.1206515
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.9994
Describing Visual Scenes Using Transformed Objects and Parts, International Journal of Computer Vision, vol.57, issue.2, pp.291-330, 2008. ,
DOI : 10.1007/s11263-007-0069-5
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.4444
Coloring Local Feature Extraction, European Conference on Computer Vision, 2006. ,
DOI : 10.1002/col.10049
URL : https://hal.archives-ouvertes.fr/inria-00548576
Region Classification with Markov Field Aspect Models, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383098
URL : https://hal.archives-ouvertes.fr/inria-00321129
Scene segmentation with CRFs learned from partially labeled images, Advances in Neural Information Processing Systems, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00321051
LOCUS: learning object classes with unsupervised segmentation, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005. ,
DOI : 10.1109/ICCV.2005.148
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