Given a set of calibrated images of a scene, we present an approach that...
We introduce a method that simultaneously learns to explore new large
en...
We present a generative document-specific approach to character analysis...
Recent advances in visual representation learning allowed to build an
ab...
Approaches for single-view reconstruction typically rely on viewpoint
an...
In this paper, we revisit the classical representation of 3D point cloud...
We present an unsupervised learning framework for decomposing images int...
We present docExtractor, a generic approach for extracting visual elemen...
Recent advances in image clustering typically focus on learning better d...