Moller, Michael

4 publications

WACV 2022 Deep Optimization Prior for THz Model Parameter Estimation Tak Ming Wong, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, Andreas Kolb

WACV 2018 Segmentation and Shape Extraction from Convolutional Neural Networks Mai Lan Ha, Gianni Franchi, Michael Möller, Andreas Kolb, Volker Blanz

ICCV 2017 Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems Tim Meinhardt, Michael Moller, Caner Hazirbas, Daniel Cremers

ECCV 2016 Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers