A stable graph-based representation for object recognition through high-order matching, International Conference on Pattern Recognition, pp.3341-3344, 2012. ,
Spatio-Temporal Convolutional Sparse Auto-Encoder for Sequence Classification, Procedings of the British Machine Vision Conference 2012, pp.124-125, 2012. ,
DOI : 10.5244/C.26.124
URL : https://hal.archives-ouvertes.fr/hal-01353046
Matching shapes, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.454-461, 2001. ,
DOI : 10.1109/ICCV.2001.937552
Shape Matching and Object Recognition Using Low Distortion Correspondences, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.26-33, 2005. ,
DOI : 10.1109/CVPR.2005.320
A Study of Parts-Based Object Class Detection Using Complete Graphs, International Journal of Computer Vision, vol.73, issue.2, pp.93-117, 2010. ,
DOI : 10.1007/s11263-009-0209-1
Statistics of Pairwise Co-occurring Local Spatio-temporal Features for Human Action Recognition, Proceedings of the 4th International Workshop on Video Event Categorization, Tagging and Retrieval, in conjunction with 12th European Conference on Computer Vision, pp.311-320, 2012. ,
DOI : 10.1007/978-3-642-33863-2_31
URL : https://hal.archives-ouvertes.fr/hal-00760963
A discriminative prototype selection approach for graph embedding in human action recognition, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp.1295-1301, 2011. ,
DOI : 10.1109/ICCVW.2011.6130401
Poselets: Body part detectors trained using 3D human pose annotations, 2009 IEEE 12th International Conference on Computer Vision, pp.1365-1372, 2009. ,
DOI : 10.1109/ICCV.2009.5459303
Recognising action as clouds of space-time interest points, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.1948-1955, 2009. ,
DOI : 10.1109/CVPR.2009.5206779
Learning spatiotemporal graphs of human activities, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126316
Graphical Models and Point Pattern Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.1646-1663, 2006. ,
DOI : 10.1109/TPAMI.2006.207
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.7197
Graph- Based Analysis of Physical Exercise Actions, ACM Multimedia Workshop on Multimedia Indexing and Information Retrieval for Healthcare, pp.23-32, 2013. ,
Behavior Recognition via Sparse Spatio-Temporal Features, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005. ,
DOI : 10.1109/VSPETS.2005.1570899
A tensorbased algorithm for high-order graph matching, IEEE Conference on Computer Vision and Pattern Recognition, pp.1980-1987, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-01063322
A graph-matching kernel for object categorization, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126445
URL : https://hal.archives-ouvertes.fr/hal-00650345
Comparing Evaluation Protocols on the KTH Dataset, Human Behavior Understanding , volume LNCS 6219, pp.88-100, 2010. ,
DOI : 10.1109/TPAMI.2007.70711
Computers and Intractability: A Guide to the Theory of NP-Completeness, 1979. ,
A “string of feature graphs” model for recognition of complex activities in natural videos, 2011 International Conference on Computer Vision, pp.2595-2602, 2011. ,
DOI : 10.1109/ICCV.2011.6126548
A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, 1988. ,
DOI : 10.5244/C.2.23
Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.3, pp.533-547, 2012. ,
DOI : 10.1109/TPAMI.2011.147
The Sinkhorn???Knopp Algorithm: Convergence and Applications, SIAM Journal on Matrix Analysis and Applications, vol.30, issue.1, pp.261-275, 2008. ,
DOI : 10.1137/060659624
On Space-Time Interest Points, International Journal of Computer Vision, vol.17, issue.8, pp.107-123, 2005. ,
DOI : 10.1007/s11263-005-1838-7
Learning realistic human actions from movies, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
DOI : 10.1109/CVPR.2008.4587756
URL : https://hal.archives-ouvertes.fr/inria-00548659
Local computations with probabilities on graphical structures and their application to expert systems, Journal of the Royal Statistical Society. Series B (Methodological), vol.50, issue.2, pp.157-224, 1988. ,
Hyper-graph matching via reweighted random walks, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995387
Clustering of video objects by graph matching, IEEE International Conference on Multimedia and Expo, pp.394-397, 2005. ,
A spectral technique for correspondence problems using pairwise constraints, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.1482-1489, 2005. ,
DOI : 10.1109/ICCV.2005.20
Semi-supervised learning and optimization for hypergraph matching, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126507
Action recognition based on a bag of 3D points, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Workshops, pp.9-14, 2010. ,
DOI : 10.1109/CVPRW.2010.5543273
Layered graph matching by composite cluster sampling with collaborative and competitive interactions, IEEE Conference on Computer Vision and Pattern Recognition, pp.1351-1358, 2009. ,
Recognizing human actions using multiple features, IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
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
Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383131
Introducing kinect for xbox 360, 2013. ,
Action recognition with appearance???motion features and fast search trees, Image Analysis and Recognition, pp.426-438, 2011. ,
DOI : 10.1016/j.cviu.2010.11.002
Floating search methods for feature selection with nonmonotonic criterion functions, Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), pp.279-283, 1994. ,
DOI : 10.1109/ICPR.1994.576920
Joint pose estimation and action recognition in image graphs, 2011 18th IEEE International Conference on Image Processing, pp.25-28, 2011. ,
DOI : 10.1109/ICIP.2011.6116197
URL : https://hal.archives-ouvertes.fr/hal-01063329
Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities, 2009 IEEE 12th International Conference on Computer Vision, pp.1593-1600, 2009. ,
DOI : 10.1109/ICCV.2009.5459361
Spatialtemporal correlatons for unsupervised action classification, IEEE Workshop on Motion and Video Computing, 2008. ,
Recognizing human actions: a local SVM approach, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.32-36, 2004. ,
DOI : 10.1109/ICPR.2004.1334462
A 3d sift descriptor and its application to action recognition, International Conference on ACM Multimedia, pp.357-360, 2007. ,
Topologically-robust 3D shape matching based on diffusion geometry and seed growing, CVPR 2011, pp.2481-2488, 2011. ,
DOI : 10.1109/CVPR.2011.5995455
URL : https://hal.archives-ouvertes.fr/inria-00590280
Real-time human pose recognition in parts from single depth images, IEEE Conference on Computer Vision and Pattern Recognition, pp.1297-1304, 2011. ,
Recognizing and Localizing Individual Activities through Graph Matching, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.196-203, 2010. ,
DOI : 10.1109/AVSS.2010.81
URL : https://hal.archives-ouvertes.fr/hal-01381516
Pairwise Features for Human Action Recognition, 2010 20th International Conference on Pattern Recognition, pp.3224-3227, 2010. ,
DOI : 10.1109/ICPR.2010.788
URL : https://hal.archives-ouvertes.fr/hal-01381471
Reconstruction of articulated objects from point correspondences in a single uncalibrated image, IEEE Conference on Computer Vision and Pattern Recognition, pp.677-684, 2000. ,
Human Body Part Labeling and Tracking Using Graph Matching Theory, 2006 IEEE International Conference on Video and Signal Based Surveillance, 2006. ,
DOI : 10.1109/AVSS.2006.59
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.5742
Feature Correspondence Via Graph Matching: Models and Global Optimization, Proceedings of the European Conference of Computer Vision, pp.596-609, 2008. ,
DOI : 10.1007/978-3-540-88688-4_44
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.4872
Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013. ,
DOI : 10.1109/CVPRW.2013.82
Mining actionlet ensemble for action recognition with depth cameras, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.1290-1297, 2012. ,
DOI : 10.1109/CVPR.2012.6247813
Action Recognition with Exemplar Based 2.5D Graph Matching, Proceedings of the European Conference on Computer Vision, 2012. ,
DOI : 10.1007/978-3-642-33765-9_13
Sparse granger causality graphs for human action classification, International Conference on Pattern Recognition, pp.3374-3377, 2012. ,
Video action recognition with spatio-temporal graph embedding and spline modeling, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2422-2425, 2010. ,
DOI : 10.1109/ICASSP.2010.5496275
A Path Following Algorithm for the Graph Matching Problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.12, pp.312227-2242, 2009. ,
DOI : 10.1109/TPAMI.2008.245
URL : https://hal.archives-ouvertes.fr/hal-00232851
Probabilistic graph and hypergraph matching, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587500
A structured learning-based graph matching for dynamic multiple object tracking, 2011 18th IEEE International Conference on Image Processing, pp.2333-2336, 2011. ,
DOI : 10.1109/ICIP.2011.6116107