Skeleton Feature Fusion Based on Multi-Stream LSTM for Action Recognition
暂无分享,去创建一个
[1] Trevor Darrell,et al. Long-term recurrent convolutional networks for visual recognition and description , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Yong Du,et al. Hierarchical recurrent neural network for skeleton based action recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Yu Qiao,et al. RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Tinne Tuytelaars,et al. Modeling video evolution for action recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Gang Wang,et al. Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Abhinav Gupta,et al. What Actions are Needed for Understanding Human Actions in Videos? , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[7] Juan Carlos Niebles,et al. Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words , 2006, BMVC.
[8] Gang Wang,et al. Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks , 2017, IEEE Transactions on Image Processing.
[9] Dimitris Samaras,et al. Two-person interaction detection using body-pose features and multiple instance learning , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[10] Haroon Idrees,et al. The THUMOS challenge on action recognition for videos "in the wild" , 2016, Comput. Vis. Image Underst..
[11] Marwan Torki,et al. Human Action Recognition Using a Temporal Hierarchy of Covariance Descriptors on 3D Joint Locations , 2013, IJCAI.
[12] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[13] Ruslan Salakhutdinov,et al. Action Recognition using Visual Attention , 2015, NIPS 2015.
[14] Cristian Sminchisescu,et al. The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection , 2013, 2013 IEEE International Conference on Computer Vision.
[15] Andrew W. Senior,et al. Long short-term memory recurrent neural network architectures for large scale acoustic modeling , 2014, INTERSPEECH.
[16] 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.
[17] Jason Weston,et al. Memory Networks , 2014, ICLR.
[18] Stephen J. Maybank,et al. Activity recognition using a supervised non-parametric hierarchical HMM , 2016, Neurocomputing.
[19] Luc Van Gool,et al. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition , 2016, ECCV.
[20] Hairong Qi,et al. Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps , 2013, 2013 IEEE International Conference on Computer Vision.
[21] Cordelia Schmid,et al. Action Recognition with Improved Trajectories , 2013, 2013 IEEE International Conference on Computer Vision.
[22] Gang Wang,et al. NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Bing Li,et al. Graph Based Skeleton Motion Representation and Similarity Measurement for Action Recognition , 2016, ECCV.
[24] Sanghoon Lee,et al. Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[25] Mohammed Bennamoun,et al. Learning Action Recognition Model from Depth and Skeleton Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[26] Dahua Lin,et al. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition , 2018, AAAI.
[27] Nasser Kehtarnavaz,et al. Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition , 2017, IEEE Access.
[28] Andrew Zisserman,et al. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Ying Wu,et al. Mining actionlet ensemble for action recognition with depth cameras , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Marco La Cascia,et al. 3D skeleton-based human action classification: A survey , 2016, Pattern Recognit..
[31] Hong Liu,et al. Enhanced skeleton visualization for view invariant human action recognition , 2017, Pattern Recognit..
[32] Mohammed Bennamoun,et al. A New Representation of Skeleton Sequences for 3D Action Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Qiang Chen,et al. Network In Network , 2013, ICLR.
[34] Hong Liu,et al. 3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector , 2016, IJCAI.
[35] Gang Wang,et al. Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition , 2016, ECCV.
[36] Wenjun Zeng,et al. An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data , 2016, AAAI.
[37] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[38] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[39] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[40] Sung Wook Baik,et al. Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features , 2018, IEEE Access.
[41] Xiaohui Xie,et al. Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks , 2016, AAAI.
[42] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[43] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[44] Yueting Zhuang,et al. Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks , 2018, IEEE Transactions on Multimedia.
[45] Rama Chellappa,et al. Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[46] Samuel Berlemont,et al. BLSTM-RNN Based 3D Gesture Classification , 2013, ICANN.
[47] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[48] Chen Chen,et al. Memory Attention Networks for Skeleton-Based Action Recognition , 2018, IEEE Transactions on Neural Networks and Learning Systems.