Thorsten Beier — accepted AI-conference papers

2025

ROS2WASM: Bringing the Robot Operating System to the Web

Tobias Fischer, Isabel Paredes, Michael Batchelor, Thorsten Beier, Jesse Haviland, Silvio Traversaro +3

ICRA 2025

The Robot Operating System (ROS) has become the de facto standard middleware in robotics, widely adopted across domains ranging from education to industrial applications. The RoboStack distribution, a conda-based packaging system for ROS, has extended ROS's accessibility by facilitating installation

Cited by 1 Source ↗Scholar ↗

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 +1

CVPR 2022poster

We propose a theoretical framework that generalizes simple and fast algorithms for hierarchical agglomerative clustering to weighted graphs with both attractive and repulsive interactions between the nodes. This framework defines GASP, a Generalized Algorithm for Signed graph Partitioning, and allow…

Cited by 17 PDF ↗code ↗Scholar ↗

2015

Fusion Moves for Correlation Clustering

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

CVPR 2015poster

Correlation clustering, or multicut partitioning, is widely used in image segmentation for partitioning an undirected graph or image with positive and negative edge weights such that the sum of cut edge weights is minimized. Due to its NP-hardness, exact solvers do not scale and approximative solve…

Cited by 62 Source ↗PDF ↗code ↗Scholar ↗