604 citations · 667 across the 5 of their papers we have counts for
6 papers
Bayesian Inference of Bijective Non-Rigid Shape Correspondence
Matthias Vestner, Roee Litman, Alex Bronstein +2
Many algorithms for the computation of correspondences between deformable shapes rely on some variant of nearest neighbor matching in a descriptor space. Such are, for example, var…
The Homotopy Method Revisited: Computing Solution Paths of -Regularized Problems
Björn Bringmann, Daniel Cremers, Felix Krahmer +1
-regularized linear inverse problems are frequently used in signal processing, image analysis, and statistics. The correct choice of the regularization parameter $ t \in…
Point-wise Map Recovery and Refinement from Functional Correspondence
Emanuele Rodolà, Michael Moeller, Daniel Cremers
Since their introduction in the shape analysis community, functional maps have met with considerable success due to their ability to compactly represent dense correspondences betwe…
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg +6
Convolutional neural networks (CNNs) have recently been very successful in a variety of computer vision tasks, especially on those linked to recognition. Optical flow estimation ha…
A linear framework for region-based image segmentation and inpainting involving curvature penalization
Thomas Schoenemann, Fredrik Kahl, Simon Masnou +1
We present the first method to handle curvature regularity in region-based image segmentation and inpainting that is independent of initialization. To this end we start from a new…
On a linear programming approach to the discrete Willmore boundary value problem and generalizations
Thomas Schoenemann, Simon Masnou, Daniel Cremers
We consider the problem of finding (possibly non connected) discrete surfaces spanning a finite set of discrete boundary curves in the three-dimensional space and minimizing (globa…