no code implementations • CVPR 2016 • Stefan Mathe, Aleksis Pirinen, Cristian Sminchisescu
One of the most widely used strategies for visual object detection is based on exhaustive spatial hypothesis search.
no code implementations • 29 Nov 2014 • Stefan Mathe, Cristian Sminchisescu
State-of-the-art visual recognition and detection systems increasingly rely on large amounts of training data and complex classifiers.
no code implementations • 29 Dec 2013 • Stefan Mathe, Cristian Sminchisescu
Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks.
no code implementations • NeurIPS 2013 • Stefan Mathe, Cristian Sminchisescu
Finally, we leverage our large scale dataset in conjunction with powerful machine learning techniques and computer vision features, to introduce novel dynamic eye movement prediction methods which learn task-sensitive reward functions from eye movement data and efficiently integrate these rewards to plan future saccades based on inverse optimal control.