Action Recognition

Action Recognition in Video Using Sparse Coding and Relative Features CVPR 2016 Actions ~ Transformations CVPR 2016 A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets CVPR 2016 A Key Volume Mining Deep Framework for Action Recognition CVPR 2016 A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection CVPR 2016 Anticipating Visual Representations From Unlabeled Video CVPR 2016 Challenges in multimodal gesture recognition JMLR 2016 Convolutional Two-Stream Network Fusion for Video Action Recognition CVPR 2016 Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition NeurIPS 2016 DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns CVPR 2016 Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled CVPR 2016 Dynamic Image Networks for Action Recognition CVPR 2016 Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold CVPR 2016 End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016 Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos CVPR 2016 First Person Action Recognition Using Deep Learned Descriptors CVPR 2016 Generating Videos with Scene Dynamics NeurIPS 2016 Going Deeper into First-Person Activity Recognition CVPR 2016 Harnessing Object and Scene Semantics for Large-Scale Video Understanding CVPR 2016 Improving Human Action Recognition by Non-Action Classification CVPR 2016 Inferring Forces and Learning Human Utilities From Videos CVPR 2016 Learning End-to-end Video Classification with Rank-Pooling ICML 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Mining 3D Key-Pose-Motifs for Action Recognition CVPR 2016 NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis CVPR 2016