Detecting pedestrians and predicting future trajectories for them are
cr...
In this paper, we focus on training and evaluating effective word embedd...
Attention mechanisms have recently been introduced in deep learning for
...
While deep convolutional neural networks (CNNs) have shown a great succe...
We propose a method that can generate an unambiguous description (known ...
In this paper, we address the task of learning novel visual concepts, an...
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) ...
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) ...