Beier, Thorsten

8 publications

CVPR 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

ICCVW 2017 Solving Large Multicut Problems for Connectomics via Domain Decomposition Constantin Pape, Thorsten Beier, Peter Li, Viren Jain, Davi D. Bock, Anna Kreshuk

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

CVPR 2015 Fusion Moves for Correlation Clustering Thorsten Beier, Fred A. Hamprecht, Jorg H. Kappes

CVPR 2014 Cut, GLUE & Cut: A Fast, Approximate Solver for Multicut Partitioning Thorsten Beier, Thorben Kroeger, Jorg H. Kappes, Ullrich Kothe, Fred A. Hamprecht

ECCVW 2014 MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves Jörg Hendrik Kappes, Thorsten Beier, Christoph Schnörr

ECCV 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

ICCV 2011 Probabilistic Image Segmentation with Closedness Constraints Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht