Describing Videos by Exploiting Temporal Structure
Posted on01/12/2015
Recent progress in using recurrent neural networks (RNNs) for image description has motivated the exploration of their application for video description. However,... Read More
Recurrent Neural Networks for Emotion Recognition in Video
Posted on09/11/2015
Deep learning based approaches to facial analysis and video analysis have recently demonstrated high performance on a variety of key tasks such... Read More
Delving Deeper into Convolutional Networks for Learning Video Representations
Posted on04/11/2015
We propose an approach to learn spatio-temporal features in videos from intermediate visual representations we call “percepts” using Gated-Recurrent-Unit Recurrent Networks (GRUs).Our... Read More
Describing Multimedia Content using Attention-based Encoder–Decoder Networks
Posted on23/09/2015
Whereas deep neural networks were first mostly used for classification tasks, they are rapidly expanding in the realm of structured output problems, where the... Read More
Modeling Deep Temporal Dependencies with Recurrent “Grammar Cells”
Posted on23/12/2014
We propose modeling time series by representing the transformations that take a frame at time t to a frame at time t+1.... Read More