no code implementations • CVPR 2018 • Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Timur Bagautdinov, Louis Lettry, Pascal Fua, Luc van Gool, François Fleuret
People detection methods are highly sensitive to occlusions between pedestrians, which are extremely frequent in many situations where cameras have to be mounted at a limited height.
no code implementations • 2 Mar 2018 • Louis Lettry, Kenneth Vanhoey, Luc van Gool
Machine learning based Single Image Intrinsic Decomposition (SIID) methods decompose a captured scene into its albedo and shading images by using the knowledge of a large set of known and realistic ground truth decompositions.
no code implementations • 28 Jul 2017 • Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Louis Lettry, Pascal Fua, Luc van Gool, François Fleuret
People detection methods are highly sensitive to the perpetual occlusions among the targets.
1 code implementation • IEEE Winter Conference on Applications of Computer Vision (WACV) 2017 • Louis Lettry, Michal Perdoch, Kenneth Vanhoey, Luc van Gool
We propose a new approach for detecting repeated patterns on a grid in a single image.
no code implementations • 23 Dec 2016 • Louis Lettry, Kenneth Vanhoey, Luc van Gool
We present a new deep supervised learning method for intrinsic decomposition of a single image into its albedo and shading components.