Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks

9 April 2017

Papers citing "Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks"

9 / 9 papers shown

Title
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition Hongda Liu Yunlong Wang Min Ren Junxing Hu Zhengquan Luo Guangqi Hou Zhe Sun 97 1 0 24 Feb 2025
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition Jun Liu Amir Shahroudy Dong Xu Gang Wang 164 1,106 0 24 Jul 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 193 2,340 0 09 May 2016
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis Amir Shahroudy Jun Liu T. Ng G. Wang 240 2,489 0 11 Apr 2016
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks Wentao Zhu Cuiling Lan Junliang Xing Wenjun Zeng Yanghao Li Li Shen Xiaohui Xie 159 873 0 24 Mar 2016
Differential Recurrent Neural Networks for Action Recognition Vivek Veeriah Naifan Zhuang Guo-Jun Qi 98 464 0 25 Apr 2015
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 130 2,591 0 16 Feb 2015
Long-term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue Lisa Anne Hendricks Marcus Rohrbach Subhashini Venugopalan S. Guadarrama Kate Saenko Trevor Darrell VLM 162 6,052 0 17 Nov 2014
Two-Stream Convolutional Networks for Action Recognition in Videos Karen Simonyan Andrew Zisserman 242 7,535 0 09 Jun 2014