Thorsten Beier

According to our database, Thorsten Beier authored at least 16 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ROS2WASM: Bringing the Robot Operating System to the Web.

Tobias Fischer, Isabel Paredes, Michael Batchelor, Thorsten Beier, Jesse Haviland, Silvio Traversaro, Wolf Vollprecht, Markus Schmitz, Michael Milford

CoRR, 2024

2022

GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation.

Alberto Bailoni, Constantin Pape, Nathan Hütsch, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2019

A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation.

Alberto Bailoni, Constantin Pape, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht

CoRR, 2019

2018

Multicut algorithms for neurite segmentation.

Thorsten Beier

PhD thesis, 2018

Neuron Segmentation With High-Level Biological Priors.

Nikola Krasowski, Thorsten Beier, Graham Knott, Ullrich Köthe, Fred A. Hamprecht, Anna Kreshuk

IEEE Trans. Medical Imaging, 2018

2017

Solving Large Multicut Problems for Connectomics via Domain Decomposition.

Constantin Pape, Thorsten Beier, Peter Li, Viren Jain, Davi D. Bock, Anna Kreshuk

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem.

Thorsten Beier, Björn Andres, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Improving 3D EM data segmentation by joint optimization over boundary evidence and biological priors.

Nikola Krasowski, Thorsten Beier, Graham W. Knott, Ullrich Köthe, Fred A. Hamprecht, Anna Kreshuk

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Fusion moves for correlation clustering.

Thorsten Beier, Fred A. Hamprecht, Jörg H. Kappes

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Parallel Multicut Segmentation via Dual Decomposition.

Julian Yarkony, Thorsten Beier, Pierre Baldi, Fred A. Hamprecht

Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves.

Jörg Hendrik Kappes, Thorsten Beier, Christoph Schnörr

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Asymmetric Cuts: Joint Image Labeling and Partitioning.

Thorben Kröger, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the Pattern Recognition - 36th German Conference, 2014

Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning.

Thorsten Beier, Thorben Kröger, Jörg H. Kappes, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

OpenGM: A C++ Library for Discrete Graphical Models

Björn Andres, Thorsten Beier, Jörg H. Kappes

CoRR, 2012

The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models.

Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Probabilistic image segmentation with closedness constraints.

Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the IEEE International Conference on Computer Vision, 2011