no code implementations • 1 Mar 2016 • Mattis Paulin, Julien Mairal, Matthijs Douze, Zaid Harchaoui, Florent Perronnin, Cordelia Schmid
Convolutional neural networks (CNNs) have recently received a lot of attention due to their ability to model local stationary structures in natural images in a multi-scale fashion, when learning all model parameters with supervision.
no code implementations • ICCV 2015 • Mattis Paulin, Matthijs Douze, Zaid Harchaoui, Julien Mairal, Florent Perronin, Cordelia Schmid
Patch-level descriptors underlie several important computer vision tasks, such as stereo-matching or content-based image retrieval.
no code implementations • CVPR 2014 • Mattis Paulin, Jerome Revaud, Zaid Harchaoui, Florent Perronnin, Cordelia Schmid
We propose a principled algorithm Image Transformation Pursuit (ITP) for the automatic selection of a compact set of transformations.