no code implementations • 18 Apr 2019 • Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
A common approach is to learn an end-to-end policy that directly predicts controls from raw images by imitating an expert.
no code implementations • CVPR 2019 • Yazeed Alharbi, Neil Smith, Peter Wonka
In multimodal unsupervised image-to-image translation tasks, the goal is to translate an image from the source domain to many images in the target domain.
no code implementations • 3 Mar 2018 • Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
Recent work has explored the problem of autonomous navigation by imitating a teacher and learning an end-to-end policy, which directly predicts controls from raw images.
no code implementations • 19 Aug 2017 • Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
Automating the navigation of unmanned aerial vehicles (UAVs) in diverse scenarios has gained much attention in recent years.
no code implementations • 19 Aug 2017 • Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem
We present a photo-realistic training and evaluation simulator (Sim4CV) with extensive applications across various fields of computer vision.
no code implementations • CVPR 2017 • Matthias Mueller, Neil Smith, Bernard Ghanem
Correlation filter (CF) based trackers have recently gained a lot of popularity due to their impressive performance on benchmark datasets, while maintaining high frame rates.