23 citations · 90 across the 22 of their papers we have counts for
24 papers
Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption
Johann-Friedrich Feiden, Tim Küchler, Denis Zavadski +2
Depth estimation from monocular video has become a key component of many real-world computer vision systems. Recently, Video Depth Anything (VDA) has demonstrated strong performanc…
Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C.Elegans
Christoph Karg, Sebastian Stricker, Lisa Hutschenreiter +2
In this work we present a novel approach for unsupervised multi-graph matching, which applies to problems for which a Gaussian distribution of keypoint features can be assumed. We…
Optimizing Incomplete, Large-Scale and Sparse Multi-Graph Matching in Bioimaging
Max Kahl, Sebastian Stricker, Lisa Hutschenreiter +3
Multi-graph matching is a fundamental problem in computer vision. Our work is motivated by a challenging application in bioimaging, where dozens or even hundreds of 3D microscopy i…
Relative-Interior Solution for the (Incomplete) Linear Assignment Problem with Applications to the Quadratic Assignment Problem
Tomáš Dlask, Bogdan Savchynskyy
We study the set of optimal solutions of the dual linear programming formulation of the linear assignment problem (LAP) to propose a method for computing a solution from the relati…
A Comparative Study of Graph Matching Algorithms in Computer Vision
Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter +5
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 wide ra…
Structured Prediction Problem Archive
Paul Swoboda, Bjoern Andres, Andrea Hornakova +6
Structured prediction problems are one of the fundamental tools in machine learning. In order to facilitate algorithm development for their numerical solution, we collect in one pl…