We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Given an arbitrary image, our goal is to segment all distinct
texture subimages. This is done by discovering distinct,
cohesive groups of spatially repeating patterns, called tex...
— This paper introduces an incremental method for “Structure From Motion” of complex scenes from a video sequence. More precisely, we estimate the 3D positions of the viewed ...
E. Mouragnon, Maxime Lhuillier, Michel Dhome, Fabi...
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
This paper presents a fast method for detecting multi-view cars in real-world scenes. Cars are artificial objects with various appearance changes, but they have relatively consist...