Action Recognition

Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks CVPR 2017 Multi-Task Clustering of Human Actions by Sharing Information CVPR 2017 On Human Motion Prediction Using Recurrent Neural Networks CVPR 2017 Predicting Behaviors of Basketball Players From First Person Videos CVPR 2017 Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017 Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset CVPR 2017 Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization CVPR 2017 SCC: Semantic Context Cascade for Efficient Action Detection CVPR 2017 Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks CVPR 2017 Self-Supervised Video Representation Learning With Odd-One-Out Networks CVPR 2017 Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition CVPR 2017 Spatiotemporal Multiplier Networks for Video Action Recognition CVPR 2017 Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition CVPR 2017 Spatiotemporal Pyramid Network for Video Action Recognition CVPR 2017 Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos CVPR 2017 Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos CVPR 2017 Temporal Action Localization by Structured Maximal Sums CVPR 2017 Temporal Residual Networks for Dynamic Scene Recognition CVPR 2017 Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection CVPR 2017 Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions IJCAI 2017 UntrimmedNets for Weakly Supervised Action Recognition and Detection CVPR 2017 Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling CVPR 2017 Zero-Shot Action Recognition With Error-Correcting Output Codes CVPR 2017 3D Action Recognition From Novel Viewpoints CVPR 2016 Actionness Estimation Using Hybrid Fully Convolutional Networks CVPR 2016