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Action Recognition

1421 directly classified papers

Papers per year

Papers

Deep Sequential Context Networks for Action Prediction CVPR 2017
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks CVPR 2017
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks CVPR 2017
Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences CVPR 2017
Temporal Action Localization by Structured Maximal Sums CVPR 2017
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos CVPR 2017
Learning to Learn From Noisy Web Videos CVPR 2017
Lip Reading Sentences in the Wild CVPR 2017
Generalized Rank Pooling for Activity Recognition CVPR 2017
Binary Coding for Partial Action Analysis With Limited Observation Ratios CVPR 2017
Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection CVPR 2017
Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling CVPR 2017
Spatiotemporal Pyramid Network for Video Action Recognition CVPR 2017
Mining 3D Key-Pose-Motifs for Action Recognition CVPR 2016
Improving Human Action Recognition by Non-Action Classification CVPR 2016
Real-Time Action Recognition With Enhanced Motion Vector CNNs CVPR 2016
You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images CVPR 2016
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled CVPR 2016
Recognizing Car Fluents From Video CVPR 2016
Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation CVPR 2016
First Person Action Recognition Using Deep Learned Descriptors 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
Convolutional Two-Stream Network Fusion for Video Action Recognition CVPR 2016
Harnessing Object and Scene Semantics for Large-Scale Video Understanding CVPR 2016