Discriminative Hierarchical Modeling of Spatio-temporally Composable Human Activities
暂无分享,去创建一个
[1] Alan L. Yuille,et al. An Approach to Pose-Based Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Yi Yang,et al. Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor , 2011, IEEE Transactions on Visualization and Computer Graphics.
[3] Thorsten Joachims,et al. Learning structural SVMs with latent variables , 2009, ICML '09.
[4] Mohamed R. Amer,et al. Sum-product networks for modeling activities with stochastic structure , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Nanning Zheng,et al. Concurrent Action Detection with Structural Prediction , 2013, 2013 IEEE International Conference on Computer Vision.
[6] Jake K. Aggarwal,et al. View invariant human action recognition using histograms of 3D joints , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[7] Guillermo Sapiro,et al. Sparse Modeling of Human Actions from Motion Imagery , 2012, International Journal of Computer Vision.
[8] David A. Forsyth,et al. Discriminative hierarchical part-based models for human parsing and action recognition , 2012, J. Mach. Learn. Res..
[9] James W. Davis,et al. The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Jean Ponce,et al. Learning mid-level features for recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] William Brendel,et al. Learning spatiotemporal graphs of human activities , 2011, 2011 International Conference on Computer Vision.
[12] Alan L. Yuille,et al. The Concave-Convex Procedure , 2003, Neural Computation.
[13] J.K. Aggarwal,et al. Human activity analysis , 2011, ACM Comput. Surv..
[14] Hema Swetha Koppula,et al. Learning human activities and object affordances from RGB-D videos , 2012, Int. J. Robotics Res..
[15] Thomas Hofmann,et al. Support vector machine learning for interdependent and structured output spaces , 2004, ICML.
[16] Silvio Savarese,et al. Discriminative Object Class Models of Appearance and Shape by Correlatons , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[17] Wanqing Li,et al. Action recognition based on a bag of 3D points , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[18] Yang Wang,et al. Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] William Brendel,et al. Activities as Time Series of Human Postures , 2010, ECCV.
[20] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[21] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[22] David A. Forsyth,et al. Searching for Complex Human Activities with No Visual Examples , 2008, International Journal of Computer Vision.
[23] Juan Carlos Niebles,et al. Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification , 2010, ECCV.
[24] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[26] David A. Forsyth,et al. Automatic Annotation of Everyday Movements , 2003, NIPS.
[27] Toby Sharp,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR.
[28] Serge J. Belongie,et al. Behavior recognition via sparse spatio-temporal features , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
[29] Bart Selman,et al. Unstructured human activity detection from RGBD images , 2011, 2012 IEEE International Conference on Robotics and Automation.
[30] Frédéric Jurie,et al. Creating efficient codebooks for visual recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[31] Jake K. Aggarwal,et al. Spatio-temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Václav Hlavác,et al. Pose primitive based human action recognition in videos or still images , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[34] Guillermo Sapiro,et al. Discriminative learned dictionaries for local image analysis , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Ivan Laptev,et al. On Space-Time Interest Points , 2005, International Journal of Computer Vision.
[36] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[37] Zicheng Liu,et al. HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.