Search Results for author: Gerhard Reinelt

Found 6 papers, 0 papers with code

Discrete Potts Model for Generating Superpixels on Noisy Images

no code implementations20 Mar 2018 Ruobing Shen, Xiaoyu Chen, Xiangrui Zheng, Gerhard Reinelt

Many computer vision applications, such as object recognition and segmentation, increasingly build on superpixels.

BSDS500 Denoising +2

An ILP Solver for Multi-label MRFs with Connectivity Constraints

no code implementations16 Dec 2017 Ruobing Shen, Eric Kendinibilir, Ismail Ben Ayed, Andrea Lodi, Andrea Tramontani, Gerhard Reinelt

The method enforces connectivity priors iteratively by a cutting plane method, and provides feasible solutions with a guarantee on sub-optimality even if we terminate it earlier.

BSDS500 Weakly supervised segmentation

Symmetry-free SDP Relaxations for Affine Subspace Clustering

no code implementations25 Jul 2016 Francesco Silvestri, Gerhard Reinelt, Christoph Schnörr

We consider clustering problems where the goal is to determine an optimal partition of a given point set in Euclidean space in terms of a collection of affine subspaces.

Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization

no code implementations CVPR 2013 Jorg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnorr

Discrete graphical models (also known as discrete Markov random fields) are a major conceptual tool to model the structure of optimization problems in computer vision.

Combinatorial Optimization

Higher-order Segmentation via Multicuts

no code implementations28 May 2013 Joerg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnoerr

Multicuts enable to conveniently represent discrete graphical models for unsupervised and supervised image segmentation, in the case of local energy functions that exhibit symmetries.

Semantic Segmentation

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