Learning to parse images of articulated bodies, NIPS, 2006. ,
Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.10, pp.1775-1789, 2009. ,
DOI : 10.1109/TPAMI.2009.83
Pose search: Retrieving people using their pose, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/CVPR.2009.5206495
Recognizing human actions from still images with latent poses, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2030-2037 ,
DOI : 10.1109/CVPR.2010.5539879
Modeling mutual context of object and human pose in human-object interaction activities, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540235
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.11, pp.1958-1970, 2008. ,
DOI : 10.1109/TPAMI.2008.128
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.5995
IM2GPS: estimating geographic information from a single image, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587784
Scene completion using millions of photographs, Proc. ACM Transactions on Graphics, 2007. ,
Recognizing actions from still images, 2008 19th International Conference on Pattern Recognition, 2008. ,
DOI : 10.1109/ICPR.2008.4761663
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.265
Learning actions from the Web, 2009 IEEE 12th International Conference on Computer Vision, pp.995-1002, 2009. ,
DOI : 10.1109/ICCV.2009.5459368
Recognizing human actions in still images: a study of bag-of-features and part-based representations, Procedings of the British Machine Vision Conference 2010, 2010. ,
DOI : 10.5244/C.24.97
URL : https://hal.archives-ouvertes.fr/hal-01060885
Pictorial structures for object recognition, International Journal of Computer Vision, vol.61, pp.55-79, 2005. ,
A discriminatively trained, multiscale, deformable part model, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
DOI : 10.1109/CVPR.2008.4587597
Making large-Scale SVM Learning Practical, 1999. ,