Semantic segmentation, also called scene labeling, refers to the process of assigning a
semantic label (eg car, people, and road) to each pixel of an image. It is an essential data …

This work addresses the task of instance-aware semantic segmentation. Our key motivation
is to design a simple method with a new modelling-paradigm, which therefore has a different …

Semantic segmentation is the task of labeling every pixel in an image with a predefined
object category. It has numerous applications in scenarios where the detailed understanding …

End-to-end congestion control mechanisms such as those in TCP are not enough to prevent
congestion collapse in the Internet, and they must be supplemented by control mechanisms …

This paper addresses the task of estimating the 6D-pose of a known 3D object from a single
RGB-D image. Most modern approaches solve this task in three steps: i) compute local …

Perceptual aliasing is one of the main causes of the failure for simultaneous localization and
mapping (SLAM) systems operating in the wild. Perceptual aliasing is a phenomenon where …

Abstract Formulations of the Image Decomposition Problem as a Multicut Problem (MP) wrt a
superpixel graph have received considerable attention. In contrast, instances of the MP wrt a …

We state a combinatorial optimization problem whose feasible solutions define both a
decomposition and a node labeling of a given graph. This problem offers a common …

We present an approach to nonrigid registration of 3D surfaces. We cast isometric
embedding as MRF optimization and apply efficient global optimization algorithms based on …

The graph matching optimization problem is an essential component for many tasks in
computer vision, such as bringing two deformable objects in correspondence. Naturally, a …