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 Schmitzer, B and Schn\'f6rr, C (2015). Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes. J.~Math.~Imag.~Vision. 52 436--458. http://link.springer.com/article/10.1007/s10851-014-0546-8\par \par  Schmitzer, B and Schn\'f6rr, C (2014). Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes\par \par  Schmitzer, B and Schn\'f6rr, C (2014). Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes\par \par  Schmitzer, B and Schn\'f6rr, C (2013). Contour Manifolds and Optimal Transport\par \par  Schmitzer, B and Schn\'f6rr, C (2013). A Hierarchical Approach to Optimal Transport. Scale Space and Variational Methods (SSVM 2013). 452-464\par \par  Schmitzer, B and Schn\'f6rr, C (2013). Modelling convex shape priors and matching based on the Gromov-Wasserstein distance. Journal of Mathematical Imaging and Vision. 46 143-159\par \par  Schmitzer, B and Schn\'f6rr, C (2013). Modelling convex shape priors and matching based on the Gromov-Wasserstein distance. Journal of Mathematical Imaging and Vision. 46 143-159\par \par  Schmitzer, B and Schn\'f6rr, C (2013). Object Segmentation by Shape Matching with Wasserstein Modes. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2013). 123-136\par \par  Schmitzer, B and Schn\'f6rr, C (2012). Weakly Convex Coupling Continuous Cuts and Shape Priors. Scale Space and Variational Methods (SSVM 2011). 423-434\par \par }