Spatiotemporal Multiplier Networks for Video Action Recognition
暂无分享,去创建一个
Richard P. Wildes | Axel Pinz | Christoph Feichtenhofer | A. Pinz | Christoph Feichtenhofer | R. Wildes
[1] Richard P. Wildes,et al. Spatiotemporal Residual Networks for Video Action Recognition , 2016, NIPS.
[2] Baoxin Li,et al. Hierarchical Attention Network for Action Recognition in Videos , 2016, ArXiv.
[3] Nitish Srivastava,et al. Unsupervised Learning of Video Representations using LSTMs , 2015, ICML.
[4] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[5] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[6] Cordelia Schmid,et al. Long-Term Temporal Convolutions for Action Recognition , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Geoffrey E. Hinton,et al. Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines , 2010, Neural Computation.
[10] Luc Van Gool,et al. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition , 2016, ECCV.
[11] Ying Zhang,et al. On Multiplicative Integration with Recurrent Neural Networks , 2016, NIPS.
[12] Ali Farhadi,et al. Actions ~ Transformations , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Gang Sun,et al. A Key Volume Mining Deep Framework for Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Quoc V. Le,et al. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis , 2011, CVPR 2011.
[16] Cordelia Schmid,et al. A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.
[17] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[19] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[20] Andrea Vedaldi,et al. Dynamic Image Networks for Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[22] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[23] Cordelia Schmid,et al. Action Recognition with Improved Trajectories , 2013, 2013 IEEE International Conference on Computer Vision.
[24] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Andrew Zisserman,et al. Convolutional Two-Stream Network Fusion for Video Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Geoffrey E. Hinton,et al. Factored conditional restricted Boltzmann Machines for modeling motion style , 2009, ICML '09.
[27] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Ruslan Salakhutdinov,et al. Action Recognition using Visual Attention , 2015, NIPS 2015.
[29] Christopher Joseph Pal,et al. Delving Deeper into Convolutional Networks for Learning Video Representations , 2015, ICLR.
[30] 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).
[31] Cees Snoek,et al. VideoLSTM convolves, attends and flows for action recognition , 2016, Comput. Vis. Image Underst..
[32] Honglak Lee,et al. Action-Conditional Video Prediction using Deep Networks in Atari Games , 2015, NIPS.
[33] Richard P. Wildes,et al. Dynamically encoded actions based on spacetime saliency , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Matthew J. Hausknecht,et al. Beyond short snippets: Deep networks for video classification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Richard P. Wildes,et al. Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Srimat T. Chakradhar,et al. First-order versus second-order single-layer recurrent neural networks , 1994, IEEE Trans. Neural Networks.
[37] Behrooz Mahasseni,et al. Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Yann LeCun,et al. Convolutional Learning of Spatio-temporal Features , 2010, ECCV.
[39] Horst Bischof,et al. A Duality Based Approach for Realtime TV-L1 Optical Flow , 2007, DAGM-Symposium.
[40] Lior Wolf,et al. RNN Fisher Vectors for Action Recognition and Image Annotation , 2015, ECCV.
[41] Cordelia Schmid,et al. Human Detection Using Oriented Histograms of Flow and Appearance , 2006, ECCV.
[42] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[43] 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.