Skeleton-Based Action Recognition With Directed Graph Neural Networks
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Lei Shi | Yifan Zhang | Hanqing Lu | Jian Cheng | Hanqing Lu | Jian Cheng | Yifan Zhang | Lei Shi
[1] Tinne Tuytelaars,et al. Modeling video evolution for action recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[3] R. Zemel,et al. Neural Relational Inference for Interacting Systems , 2018, ICML.
[4] Hanqing Lu,et al. Skeleton-Based Action Recognition With Gated Convolutional Neural Networks , 2019, IEEE Transactions on Circuits and Systems for Video Technology.
[5] Yi Lin,et al. Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep CNN , 2017, 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).
[6] Fabio Viola,et al. The Kinetics Human Action Video Dataset , 2017, ArXiv.
[7] Lin Li,et al. Skeleton-Based Relational Modeling for Action Recognition , 2018, ArXiv.
[8] Nanning Zheng,et al. View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[9] Gang Wang,et al. Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition , 2016, ECCV.
[10] 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.
[11] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Hong Liu,et al. Enhanced skeleton visualization for view invariant human action recognition , 2017, Pattern Recognit..
[13] Beiji Zou,et al. Automatic reconstruction of 3D human motion pose from uncalibrated monocular video sequences based on markerless human motion tracking , 2009, Pattern Recognition.
[14] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Luc Van Gool,et al. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition , 2016, ECCV.
[16] 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).
[17] Hanqing Lu,et al. EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition , 2018, IEEE Transactions on Multimedia.
[18] Shuai Li,et al. Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Dahua Lin,et al. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition , 2018, AAAI.
[20] Kaiming He,et al. Mask R-CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[21] Hanqing Lu,et al. Non-Local Graph Convolutional Networks for Skeleton-Based Action Recognition , 2018, 1805.07694.
[22] Tao Mei,et al. Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[23] Razvan Pascanu,et al. Interaction Networks for Learning about Objects, Relations and Physics , 2016, NIPS.
[24] Yansong Tang,et al. Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[25] Abhinav Gupta,et al. Videos as Space-Time Region Graphs , 2018, ECCV.
[26] Samuel S. Schoenholz,et al. Neural Message Passing for Quantum Chemistry , 2017, ICML.
[27] Matthew J. Hausknecht,et al. Beyond short snippets: Deep networks for video classification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Razvan Pascanu,et al. A simple neural network module for relational reasoning , 2017, NIPS.
[29] Yi Yang,et al. Articulated pose estimation with flexible mixtures-of-parts , 2011, CVPR 2011.
[30] Yong Du,et al. Hierarchical recurrent neural network for skeleton based action recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Wenjun Zeng,et al. An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data , 2016, AAAI.
[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] Razvan Pascanu,et al. Relational inductive biases, deep learning, and graph networks , 2018, ArXiv.
[34] Yichen Wei,et al. Relation Networks for Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[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] Yong Du,et al. Skeleton based action recognition with convolutional neural network , 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).
[38] Chao Li,et al. Skeleton-based action recognition with convolutional neural networks , 2017, 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).
[39] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .