A. Bosch, A. Zisserman, and X. Munoz, Representing shape with a spatial pyramid kernel, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, 2007.
DOI : 10.1145/1282280.1282340

L. Bourdev and J. Brandt, Robust Object Detection via Soft Cascade, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.310

S. Brubaker, J. Wu, J. Sun, M. Mullin, and J. Rehg, On the Design of Cascades of Boosted Ensembles for Face Detection, International Journal of Computer Vision, vol.57, issue.2, pp.1-365, 2008.
DOI : 10.1007/s11263-007-0060-1

P. Carbonetto, N. De-freitas, and K. Barnard, A Statistical Model for General Contextual Object Recognition, ECCV, 2004.
DOI : 10.1007/978-3-540-24670-1_27

O. Chum and A. Zisserman, An Exemplar Model for Learning Object Classes, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383050

D. Crandall and D. Huttenlocher, Composite Models of Objects and Scenes for Category Recognition, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383155

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

S. K. Divvala, D. Hoiem, J. H. Hays, A. A. Efros, and M. Hebert, An empirical study of context in object detection, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206532

M. Dundar and J. Bi, Joint Optimization of Cascaded Classifiers for Computer Aided Detection, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383093

M. Everingham, L. Van-gool, C. K. Williams, J. Winn, and A. Zisserman, The PASCAL Visual Object Classes Challenge Results

P. Felzenszwalb, D. Mcallester, and D. Ramanan, A discriminatively trained, multiscale, deformable part model, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587597

V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid, Groups of Adjacent Contour Segments for Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.1, pp.36-51, 2008.
DOI : 10.1109/TPAMI.2007.1144
URL : https://hal.archives-ouvertes.fr/inria-00096663

G. Heitz and D. Koller, Learning Spatial Context: Using Stuff to Find Things, ECCV, 2008.
DOI : 10.1007/978-3-540-88682-2_4

D. Hoiem, A. Efros, and M. Hebert, Putting objects in perspective, CVPR, 2006.

S. Kumar and M. Hebert, A hierarchical field framework for unified context-based classification, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.9

C. H. Lampert, M. B. Blaschko, and T. Hofmann, Beyond sliding windows: Object localization by efficient subwindow search, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587586

I. Laptev, Improvements of Object Detection Using Boosted Histograms, Procedings of the British Machine Vision Conference 2006, 2006.
DOI : 10.5244/C.20.97

S. Lazebnik, C. Schmid, and J. Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.68
URL : https://hal.archives-ouvertes.fr/inria-00548585

L. Li and L. Fei-fei, What, where and who? Classifying events by scene and object recognition, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408872

D. G. Lowe, 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

M. Marsza?ek, C. Schmid, H. Harzallah, and J. Van-de-weijer, Learning object representations for visual object class recognition [23] F. Perronnin. Universal and adapted vocabularies for generic visual categorization, Visual Recognition Challange workshop, in conjunction with ICCV, pp.301243-1256, 2007.

H. A. Rowley, S. Baluja, and T. Kanade, Human face detection in visual scenes, NIPS, 1995.

J. Shotton, M. Johnson, and R. Cipolla, 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

A. Torralba, Contextual priming for object detection, International Journal of Computer Vision, vol.53, issue.2, pp.169-191, 2003.
DOI : 10.1023/A:1023052124951

J. C. Van-gemert, J. M. Geusebroek, C. J. Veenman, and A. W. Smeulders, Kernel Codebooks for Scene Categorization, ECCV, 2008.
DOI : 10.1007/978-3-540-88690-7_52

P. Viola and M. J. Jones, Robust Real-Time Face Detection, International Journal of Computer Vision, vol.57, issue.2, pp.137-154, 2004.
DOI : 10.1023/B:VISI.0000013087.49260.fb
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.9805

L. Wolf and S. Bileschi, A Critical View of Context, International Journal of Computer Vision, vol.13, issue.2, pp.251-261, 2006.
DOI : 10.1007/s11263-006-7538-0

J. Zhang, M. Marsza?ek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.213-238, 2007.
DOI : 10.1007/s11263-006-9794-4
URL : https://hal.archives-ouvertes.fr/inria-00548574

Q. Zhu, S. Avidan, M. C. Yeh, and K. T. Cheng, Fast human detection using a cascade of histograms of oriented gradients, CVPR, 2006.