A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation (2016) Mayer N, Ilg E, Hausser P, Fischer P, Cremers D, Dosovitskiy A, Brox T Conference contribution Sublabel-Accurate Relaxation of Nonconvex Energies (2016) Moellenhoff T, Laude E, Moeller M, Lellmann J, Cremers D Conference contribution Toward user-specific tracking by detection of human shapes in multi-cameras (2015) Huang CH, Boyer E, Angonese BDC, Navab N, Ilic S Conference contribution Image segmentation in Twenty Questions (2015) Rupprecht C, Peter L, Navab N Conference contribution Total variation regularization of shape signals (2015) Baust M, Demaret L, Storath M, Navab N, Weinmann A Conference contribution Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction (2015) Bergamasco F, Albarelli A, Cosmo L, Torsello A, Rodolà E, Cremers D Conference contribution Human shape and pose tracking using keyframes (2014) Huang CH, Boyer E, Navab N, Ilic S Conference contribution Sequential convex relaxation for mutual information-based unsupervised figure-ground segmentation (2014) Kee Y, Souiai M, Cremers D, Kim J Conference contribution Dense non-rigid shape correspondence using random forests (2014) Rodola E, Bulo SR, Windheuser T, Vestner M, Cremers D Conference contribution Patch-based evaluation of image segmentation (2014) Ledig C, Shi W, Bai W, Rueckert D Conference contribution