Search Results for author: Jorg H. Kappes

Found 2 papers, 1 papers with code

Fusion Moves for Correlation Clustering

1 code implementation CVPR 2015 Thorsten Beier, Fred A. Hamprecht, Jorg H. Kappes

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.

Clustering Image Segmentation +2

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

no code implementations CVPR 2014 Thorsten Beier, Thorben Kroeger, Jorg H. Kappes, Ullrich Kothe, Fred A. Hamprecht

Since this problem is NP-hard, we propose a new approximate solver based on the move-making paradigm: first, the graph is recursively partitioned into small regions (cut phase).

Image Segmentation Semantic Segmentation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.