Action Recognition by Hierarchical Mid-Level Action Elements
暂无分享,去创建一个
Silvio Savarese | Yuke Zhu | Amir Roshan Zamir | Tian Lan | S. Savarese | A. Zamir | Tian Lan | Yuke Zhu
[1] William Brendel,et al. Learning spatiotemporal graphs of human activities , 2011, 2011 International Conference on Computer Vision.
[2] Deva Ramanan,et al. Parsing Videos of Actions with Segmental Grammars , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] J.K. Aggarwal,et al. Human activity analysis , 2011, ACM Comput. Surv..
[4] Yang Wang,et al. Discriminative figure-centric models for joint action localization and recognition , 2011, 2011 International Conference on Computer Vision.
[5] Cordelia Schmid,et al. Efficient Action Localization with Approximately Normalized Fisher Vectors , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Thierry Artières,et al. Large margin training for hidden Markov models with partially observed states , 2009, ICML '09.
[7] Mubarak Shah,et al. Spatiotemporal Deformable Part Models for Action Detection , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Silvio Savarese,et al. A Hierarchical Representation for Future Action Prediction , 2014, ECCV.
[9] Iasonas Kokkinos,et al. Discovering discriminative action parts from mid-level video representations , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Yong Jae Lee,et al. Key-segments for video object segmentation , 2011, 2011 International Conference on Computer Vision.
[11] Nazli Ikizler-Cinbis,et al. Action Recognition and Localization by Hierarchical Space-Time Segments , 2013, 2013 IEEE International Conference on Computer Vision.
[12] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[13] Leonid Sigal,et al. Poselet Key-Framing: A Model for Human Activity Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Cordelia Schmid,et al. Weakly Supervised Action Labeling in Videos under Ordering Constraints , 2014, ECCV.
[15] Ronen Basri,et al. Actions as space-time shapes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[16] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[17] Gabriela Csurka,et al. Trans-Media Pseudo-Relevance Feedback Methods in Multimedia Retrieval , 2008, CLEF.
[18] Adriana Kovashka,et al. Learning a hierarchy of discriminative space-time neighborhood features for human action recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[19] Fernando De la Torre,et al. Joint segmentation and classification of human actions in video , 2011, CVPR 2011.
[20] Cordelia Schmid,et al. Action and Event Recognition with Fisher Vectors on a Compact Feature Set , 2013, 2013 IEEE International Conference on Computer Vision.
[21] Fei-Fei Li,et al. Learning latent temporal structure for complex event detection , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Derek Hoiem,et al. Category Independent Object Proposals , 2010, ECCV.
[23] Cordelia Schmid,et al. A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.
[24] Jean Ponce,et al. Automatic annotation of human actions in video , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[25] Patrick Pérez,et al. Retrieving actions in movies , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[26] Cordelia Schmid,et al. Activity representation with motion hierarchies , 2013, International Journal of Computer Vision.
[27] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[28] Fei-Fei Li,et al. Modeling mutual context of object and human pose in human-object interaction activities , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[29] Cordelia Schmid,et al. Actions in context , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Alexei A. Efros,et al. Unsupervised Discovery of Mid-Level Discriminative Patches , 2012, ECCV.
[31] Lei Chen,et al. Learning Action Primitives for Multi-level Video Event Understanding , 2014, ECCV Workshops.
[32] Patrick Bouthemy,et al. Better Exploiting Motion for Better Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Juan Carlos Niebles,et al. Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification , 2010, ECCV.
[34] Mubarak Shah,et al. Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Eli Shechtman,et al. Space-time behavior based correlation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[36] Larry S. Davis,et al. Representing Videos Using Mid-level Discriminative Patches , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Jake K. Aggarwal,et al. Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[38] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Cordelia Schmid,et al. Action Recognition with Improved Trajectories , 2013, 2013 IEEE International Conference on Computer Vision.
[40] Cordelia Schmid,et al. The LEAR submission at Thumos 2014 , 2014 .
[41] Bernt Schiele,et al. A database for fine grained activity detection of cooking activities , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[42] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.