Image segmentation refers to the process to divide an image into meaningful non-
overlapping regions according to human perception, which has become a classic topic since …

We present a framework for segmenting unknown objects in RGB-D images suitable for
robotics tasks such as object search, grasping and manipulation. While handling single …

We study convex relaxations of the image labeling problem on a continuous domain with
regularizers based on metric interaction potentials. The generic framework ensures …

In this paper, we propose a new fast variational approach to dehaze and denoise
simultaneously. The proposed method first estimates a transmission map using a windows …

Automatic segmentation of 3D vertebrae is a challenging task in medical imaging. In this
paper, we introduce a total variation (TV) based framework that incorporates an a priori …

We present a novel method for on-line, joint object tracking and segmentation in a
monocular video captured by a possibly moving camera. Our goal is to integrate tracking …

Image segmentation with one shape prior is an important problem in computer vision. Most
algorithms not only share a similar energy definition, but also follow a similar optimization …

In this contribution, a semi-automatic segmentation algorithm for (medical) image analysis is
presented. More precise, the approach belongs to the category of interactive contouring …

Efficient and quick extraction of unknown objects in cluttered 3D scenes plays a significant
role in robotics tasks such as object search, grasping, and manipulation. This paper …

Tracking is usually interpreted as finding an object in single consecutive frames.
Regularization is done by enforcing temporal smoothness of appearance, shape and …