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Found 6 papers, 0 papers with code
Predictive Coding Networks Meet Action Recognition
In this way, the model only relies on the video frames, and does not need pre-processed optical flows as input.
Efficient Convolutional Neural Network with Binary Quantization Layer
We use binary encoding of CNN features to overcome the difficulty of the clustering on the high-dimensional CNN feature space.
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection
In this paper, we show that keeping track of the changes in the CNN feature across time can facilitate capturing the local abnormality.
CNN-aware Binary Map for General Semantic Segmentation
To the best of our knowledge our method is the first attempt on general semantic image segmentation using CNN.
Emotion-Based Crowd Representation for Abnormality Detection
We aim at publishing the dataset with the article, to be used as a benchmark for the communities.
Action Recognition with Image Based CNN Features
Action recognition tasks usually relies on complex handcrafted structures as features to represent the human action model.
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