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Harcnn: A Union of 3d Convolutional Neural and Recurrent Neural Network for Human Action Recognition

https://doi.org/10.2139/ssrn.4654397
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ImageNet Large Scale Visual Recognition Challenge
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Human Action Recognition using 3D Convolutional Neural Networks with 3D Motion Cuboids in Surveillance Videos
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Human Action Recognition by Learning Spatio-Temporal Features with Deep Neural Networks
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Gradient-based learning applied to document recognition
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Human Action Recognition by Learning Spatio-Temporal Features With Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.1992.223161openalex-extracted
Recognizing human action in time-sequential images using hidden Markov model
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Learning methods for generic object recognition with invariance to pose and lighting
inferredcites →https://doi.org/10.1109/cvpr.2009.5206577openalex-extracted
Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning
inferredcites →https://doi.org/10.1109/cvpr.2016.213openalex-extracted
Convolutional Two-Stream Network Fusion for Video Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-extracted
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
inferredcites →https://doi.org/10.1109/cvprw.2009.5206577openalex-extracted
Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning
inferredcites →https://doi.org/10.1109/iccv.2003.1238420openalex-extracted
Recognizing action at a distance
inferredcites →https://doi.org/10.1109/iccv.2005.85openalex-extracted
Efficient visual event detection using volumetric features
inferredcites →https://doi.org/10.1109/iccv.2007.4408988openalex-extracted
A Biologically Inspired System for Action Recognition
inferredcites →https://doi.org/10.1109/iccv.2007.4409105openalex-extracted
Retrieving actions in movies
inferredcites →https://doi.org/10.1109/ichci54629.2021.00048openalex-extracted
Human action recognition based on convolutional neural network
inferredcites →https://doi.org/10.1109/icpr.2004.1334462openalex-extracted
Recognizing human actions: a local SVM approach
inferredcites →https://doi.org/10.1109/iscas.2010.5537907openalex-extracted
Convolutional networks and applications in vision
inferredcites →https://doi.org/10.1109/la-cci.2017.8285700openalex-extracted
Human action recognition with 3D convolutional neural network
inferredcites →https://doi.org/10.1109/siprocess.2018.8600485openalex-extracted
Towards 3D Human Action Recognition Using a Distilled CNN Model
inferredcites →https://doi.org/10.1109/tip.2005.852470openalex-extracted
Toward automatic phenotyping of developing embryos from videos
inferredcites →https://doi.org/10.1109/tpami.2004.97openalex-extracted
Convolutional face finder: a neural architecture for fast and robust face detection
inferredcites →https://doi.org/10.1109/tpami.2008.284openalex-extracted
Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning
inferredcites →https://doi.org/10.1109/tpami.2012.59openalex-extracted
3D Convolutional Neural Networks for Human Action Recognition
inferredcites →https://doi.org/10.1109/vspets.2005.1570899openalex-extracted
Behavior Recognition via Sparse Spatio-Temporal Features
inferredcites →https://doi.org/10.1126/science.1127647openalex-extracted
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1145/1553374.1553469openalex-extracted
Deep learning from temporal coherence in video
inferredcites →https://doi.org/10.1145/2072572.2072588openalex-extracted
Human action recognition using multiple views
inferredcites →https://doi.org/10.1145/2522848.2531745openalex-extracted
Combining modality specific deep neural networks for emotion recognition in video
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A Fast Learning Algorithm for Deep Belief Nets
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Learning Deep Architectures for AI
inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-extracted
Two-Stream Convolutional Networks for Action Recognition in Videos
inferredcites →https://doi.org/10.48550/arxiv.1607.06416openalex-extracted
Hierarchical Attention Network for Action Recognition in Videos
inferredcites →https://doi.org/10.5220/0006525002650272openalex-extracted
Local and Global Feature Descriptors Combination from RGB-Depth Videos for Human Action Recognition
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