暂无分享,去创建一个
[1] Jitendra Malik,et al. Finding action tubes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[4] Richard P. Wildes,et al. Spatiotemporal Residual Networks for Video Action Recognition , 2016, NIPS.
[5] Partha Pratim Das,et al. Characterizations of Noise in Kinect Depth Images: A Review , 2014, IEEE Sensors Journal.
[6] Trevor Darrell,et al. Learning with Side Information through Modality Hallucination , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[8] Ying Wu,et al. Cross-View Action Modeling, Learning, and Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[10] Vladimir Vapnik,et al. A new learning paradigm: Learning using privileged information , 2009, Neural Networks.
[11] Andrew Zisserman,et al. Convolutional Two-Stream Network Fusion for Video Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Mohan M. Trivedi,et al. Joint Angles Similarities and HOG2 for Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[13] Bernhard Schölkopf,et al. Unifying distillation and privileged information , 2015, ICLR.
[14] Gang Wang,et al. Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Wolfram Burgard,et al. Multimodal deep learning for robust RGB-D object recognition , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[16] Jian Liu,et al. Viewpoint Invariant Action Recognition Using RGB-D Videos , 2017, IEEE Access.
[17] Juan Carlos Niebles,et al. Graph Distillation for Action Detection with Privileged Information , 2017, ArXiv.
[18] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[19] Juan Carlos Niebles,et al. Graph Distillation for Action Detection with Privileged Modalities , 2017, ECCV.
[20] Cordelia Schmid,et al. Action recognition by dense trajectories , 2011, CVPR 2011.
[21] Cordelia Schmid,et al. Action Recognition with Improved Trajectories , 2013, 2013 IEEE International Conference on Computer Vision.
[22] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[23] Naveed Akhtar,et al. Viewpoint Invariant RGB-D Human Action Recognition , 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
[24] 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).
[25] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[26] Rich Caruana,et al. Do Deep Nets Really Need to be Deep? , 2013, NIPS.
[27] Mubarak Shah,et al. Learning a Deep Model for Human Action Recognition from Novel Viewpoints , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Yann LeCun,et al. A Closer Look at Spatiotemporal Convolutions for Action Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Li Fei-Fei,et al. Unsupervised Learning of Long-Term Motion Dynamics for Videos , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Mohammed Bennamoun,et al. Learning Action Recognition Model from Depth and Skeleton Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Richard P. Wildes,et al. Spatiotemporal Multiplier Networks for Video Action Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Lin Sun,et al. Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[34] Arif Mahmood,et al. Histogram of Oriented Principal Components for Cross-View Action Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Austin Reiter,et al. Interpretable 3D Human Action Analysis with Temporal Convolutional Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[36] 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).
[37] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.