Pathological brain lesions exhibit diverse appearance in brain images, i...
As the costs of sensors and associated IT infrastructure decreases - as
...
Deep neural network approaches have demonstrated high performance in obj...
For geospatial modelling and mapping tasks, variants of kriging - the sp...
Human emotions analysis has been the focus of many studies, especially i...
Forecasting the weather is an increasingly data intensive exercise. Nume...
Automatic captioning of images is a task that combines the challenges of...
Contextual information, such as the co-occurrence of objects and the spa...
Recently, data-driven deep saliency models have achieved high performanc...
In this work, we present a novel multi-modal dataset consisting of eye
m...
Building upon the recent success of deep reinforcement learning methods,...
In this paper, we apply the attention mechanism to autonomous driving fo...
Saliency prediction is a well studied problem in computer vision. Early
...
Deep convolutional neural networks have demonstrated high performances f...
Deep convolutional neural networks have achieved impressive performance ...
How does a person work out their location using a floorplan? It is proba...