Probabilistic image segmentation with closedness constraints. - Björn Andres; Jörg H. Kappes; Thorsten Beier; Ullrich Köthe; Fred A. Hamprecht (ICCV, 2011)

The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models. - Björn Andres; Jörg H. Kappes; Thorsten Beier; Ullrich Köthe; Fred A. Hamprecht (ECCV (7), 2012)

OpenGM: A C++ Library for Discrete Graphical Models - Björn Andres; Thorsten Beier; Jörg H. Kappes (CoRR, 2012)

Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning. - Thorsten Beier; Thorben Kröger; Jörg H. Kappes; Ullrich Köthe; Fred A. Hamprecht (CVPR, 2014)

Asymmetric Cuts: Joint Image Labeling and Partitioning. - Thorben Kröger; Jörg H. Kappes; Thorsten Beier; Ullrich Köthe; Fred A. Hamprecht (GCPR, 2014)

MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. - Jörg Hendrik Kappes; Thorsten Beier; Christoph Schnörr (ECCV Workshops (2), 2014)

Parallel Multicut Segmentation via Dual Decomposition. - Julian Yarkony; Thorsten Beier; Pierre Baldi; Fred A. Hamprecht (NFMCP, 2014)

Fusion moves for correlation clustering. - Thorsten Beier; Fred A. Hamprecht; Jörg H. Kappes (CVPR, 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 (ISBI, 2015)

An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem. - Thorsten Beier; Björn Andres; Ullrich Köthe; Fred A. Hamprecht (ECCV (2), 2016)

Solving Large Multicut Problems for Connectomics via Domain Decomposition. - Constantin Pape; Thorsten Beier; Peter Li; Viren Jain; Davi D. Bock; Anna Kreshuk (ICCV Workshops, 2017)

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)

Multicut algorithms for neurite segmentation. - Thorsten Beier (2018)

A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation. - Alberto Bailoni; Constantin Pape; Steffen Wolf 001; Thorsten Beier; Anna Kreshuk; Fred A. Hamprecht (CoRR, 2019)

GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation. - Alberto Bailoni; Constantin Pape; Nathan Hütsch; Steffen Wolf 001; Thorsten Beier; Anna Kreshuk; Fred A. Hamprecht (CVPR, 2022)

ROS2WASM: Bringing the Robot Operating System to the Web. - Tobias Fischer 001; Isabel Paredes; Michael Batchelor; Thorsten Beier; Jesse Haviland; Silvio Traversaro; Wolf Vollprecht; Markus Schmitz; Michael Milford (CoRR, 2024)