33985 articles – 26811 Notices  [english version]
.:. Consultation > Par auteur > Agarwal .:.
13 documents classés par :
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fulltext access Multilevel Image Coding with Hyperfeatures
Agarwal A., Triggs W.
International Journal of Computer Vision 78, 1 (2008) 15-27 [hal-00192599 - version 1]
fulltext access Machine Learning for Image Based Motion Capture
Agarwal A.
Institut National Polytechnique de Grenoble - INPG (2006-04-26), William Triggs (Dir.) [tel-00390301 - version 1]
fulltext access Recovering 3D human pose from monocular images
Agarwal A., Triggs B.
IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 1 (2006) 44--58 [inria-00548619 - version 1]
fulltext access A local basis representation for estimating human pose from cluttered images
Agarwal A., Triggs B.
In Asian Conference on Computer Vision (ACCV '06) 3851 (2006) 50--59 [inria-00548593 - version 1]
fulltext access Hyperfeatures - multilevel local coding for visual recognition
Agarwal A., Triggs B.
In European Conference on Computer Vision (ECCV '06) 3951 (2006) 30--43 [inria-00548592 - version 1]
fulltext access Hyperfeatures - Multilevel Local Coding for Visual Recognition
Agarwal A., Triggs B.
N° RR-5655 (2005) [inria-00070355 - version 1]
fulltext access Monocular Human Motion Capture with a Mixture of Regressors
Agarwal A., Triggs B.
In IEEE Workshop on Vision for Human Computer Interaction at Computer Vision and Pattern Recognition (CVPR '05) (2005) 72 [inria-00548522 - version 1]
fulltext access 3D Human Pose from Silhouettes by Relevance Vector Regression
Agarwal A., Triggs B.
In International Conference on Computer Vision & Pattern Recognition (CVPR '04) II (2004) 882--888 [inria-00548551 - version 1]
fulltext access Tracking Articulated Motion using a Mixture of Autoregressive Models
Agarwal A., Triggs B.
In European Conference on Computer Vision (ECCV '04) III (2004) 54--65 [inria-00548550 - version 1]
fulltext access Learning to Track 3D Human Motion from Silhouettes
Agarwal A., Triggs B.
In 21st International Conference on Machine Learning (ICML '04) 69 (2004) 9--16 [inria-00548549 - version 1]