R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?, SIAM J. Imaging Science, vol. 11, pp. 1317?1362, 2018.

A.  Zern, Zisler, M., Aström, F., Petra, S., and Schnörr, C., ?Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment?, in GCPR, 2018.

F.  Aström and Schnörr, C., ?A Geometric Approach for Color Image Regularization?, Comp. Vision Image Understanding, vol. 165, pp. 43?59, 2017.

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?. 2017.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?Image Labeling by Assignment?, J. Math. Imag. Vision, vol. 58, pp. 211?238, 2017.

M.  Zisler, Aström, F., Petra, S., and Schnörr, C., ?Image Reconstruction by Multilabel Propagation?, in Proc. SSVM, 2017, vol. 10302.

F.  Aström, Hühnerbein, R., Savarino, F., Recknagel, J., and Schnörr, C., ?MAP Image Labeling Using Wasserstein Messages and Geometric Assignment?, in Proc. SSVM, 2017, vol. 10302.

F.  Savarino, Hühnerbein, R., Aström, F., Recknagel, J., and Schnörr, C., ?Numerical Integration of Riemannian Gradient Flows for Image Labeling?, in Proc. SSVM, 2017, vol. 10302.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?The Assignment Manifold: A Smooth Model for Image Labeling?, in Proc. 2nd Int. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16; oral presentation; Grenander best paper award), 2016.

F.  Aström and Schnörr, C., ?Double-Opponent Vectorial Total Variation?, in Proc. ECCV, 2016.

F.  Aström and Schnörr, C., ?A Geometric Approach to Color Image Regularization?. 2016.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?A Geometric Approach to Image Labeling?, in Proc. ECCV, 2016.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?Image Labeling by Assignment?. 2016.