Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods.

•A convolutional neural network approach for head pose estimation is proposed.•The performance of different network architectures has been measured.•The use of adaptive gradient methods leads to the state-of-the-art in wild datasets.•We release a library based on our work which is available under open source licence.