Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
- 16 September 2016
- book chapter
- Published by Springer Nature
- p. 697-716
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This publication has 45 references indexed in Scilit:
- Improving Human Action Recognition Using Score Distribution and Ranking2015
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015
- Activity representation with motion hierarchiesInternational Journal of Computer Vision, 2013
- Dense Trajectories and Motion Boundary Descriptors for Action RecognitionInternational Journal of Computer Vision, 2013
- Modeling the spatial layout of images beyond spatial pyramidsPattern Recognition Letters, 2012
- Improving the Fisher Kernel for Large-Scale Image Classification2010
- Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification2010
- Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks2010
- Human Detection Using Oriented Histograms of Flow and Appearance2006
- Ensembling neural networks: Many could be better than allArtificial Intelligence, 2002