A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis. - Sandro Schönborn; Andreas Forster; Bernhard Egger 001; Thomas Vetter (GCPR, 2013)

Human face shape analysis under spherical harmonics illumination considering self occlusion. - Jasenko Zivanov; Andreas Forster; Sandro Schönborn; Thomas Vetter (ICB, 2013)

Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images. - Bernhard Egger 001; Sandro Schönborn; Andreas Forster; Thomas Vetter (GCPR, 2014)

Background modeling for generative image models. - Sandro Schönborn; Bernhard Egger 001; Andreas Forster; Thomas Vetter (Comput. Vis. Image Underst., 2015)

Occlusion-aware 3D Morphable Face Models. - Bernhard Egger 001; Andreas Schneider; Clemens Blumer; Andreas Forster; Sandro Schönborn; Thomas Vetter (BMVC, 2016)

Markov Chain Monte Carlo for Automated Face Image Analysis. - Sandro Schönborn; Bernhard Egger 001; Andreas Forster; Thomas Vetter (Int. J. Comput. Vis., 2017)

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. - Adam Kortylewski; Bernhard Egger 001; Andreas Schneider; Thomas Gerig; Andreas Morel-Forster; Thomas Vetter (CVPR Workshops, 2018)

Morphable Face Models - An Open Framework. - Thomas Gerig; Andreas Morel-Forster; Clemens Blumer; Bernhard Egger 001; Marcel Lüthi; Sandro Schönborn; Thomas Vetter (FG, 2018)

Probabilistic Fitting of Active Shape Models. - Andreas Morel-Forster; Thomas Gerig; Marcel Lüthi; Thomas Vetter (ShapeMI@MICCAI, 2018)

Training Deep Face Recognition Systems with Synthetic Data. - Adam Kortylewski; Andreas Schneider; Thomas Gerig; Bernhard Egger 001; Andreas Morel-Forster; Thomas Vetter (CoRR, 2018)

Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. - Adam Kortylewski; Mario Wieser; Andreas Morel-Forster; Aleksander Wieczorek; Sonali Parbhoo; Volker Roth 001; Thomas Vetter (CoRR, 2018)

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance. - Adam Kortylewski; Andreas Schneider; Thomas Gerig; Clemens Blumer; Bernhard Egger 001; Corius Reyneke; Andreas Morel-Forster; Thomas Vetter (CoRR, 2018)

Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis. - Bernhard Egger 001; Sandro Schönborn; Andreas Schneider; Adam Kortylewski; Andreas Morel-Forster; Clemens Blumer; Thomas Vetter (Int. J. Comput. Vis., 2018)

Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. - Adam Kortylewski; Bernhard Egger 001; Andreas Schneider; Thomas Gerig; Andreas Morel-Forster; Thomas Vetter (CVPR Workshops, 2019)

Greedy Structure Learning of Hierarchical Compositional Models. - Adam Kortylewski; Aleksander Wieczorek; Mario Wieser; Clemens Blumer; Sonali Parbhoo; Andreas Morel-Forster; Volker Roth 001; Thomas Vetter (CVPR, 2019)

Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation. - Dana Rahbani; Andreas Morel-Forster; Dennis Madsen; Marcel Lüthi; Thomas Vetter (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. - Dennis Madsen; Andreas Morel-Forster; Patrick Kahr; Dana Rahbani; Thomas Vetter; Marcel Lüthi (ECCV (17), 2020)

Learning Shape Priors from Pieces. - Dennis Madsen; Jonathan Aellen; Andreas Morel-Forster; Thomas Vetter; Marcel Lüthi (ShapeMI@MICCAI, 2020)

Uncertainty Reduction in Contour-Based 3D/2D Registration of Bone Surfaces. - Xolisile O. Thusini; Cornelius J. F. Reyneke; Jonathan Aellen; Andreas Forster; Jean-Rassaire Fouefack; Nicolas H. Nbonsou Tegang; Thomas Vetter; Tania S. Douglas; Tinashe E. M. Mutsvangwa (ShapeMI@MICCAI, 2020)

Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction. - Dana Rahbani; Andreas Morel-Forster; Dennis Madsen; Jonathan Aellen; Thomas Vetter (MICCAI (5), 2021)

To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision. - Chunlu Li; Andreas Morel-Forster; Thomas Vetter; Bernhard Egger 001; Adam Kortylewski (CoRR, 2021)

GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression. - Dennis Madsen; Jonathan Aellen; Andreas Morel-Forster; Thomas Vetter; Marcel Lüthi (CoRR, 2022)

Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation. - Chunlu Li; Andreas Morel-Forster; Thomas Vetter; Bernhard Egger 001; Adam Kortylewski (CVPR, 2023)

A Joint Approach Towards Data-Driven Virtual Testing for Automated Driving: The AVEAS Project. - Leon Eisemann; Mirjam Fehling-Kaschek; Silke Forkert; Andreas Forster; Henrik Gommel; Susanne Guenther; Stephan Hammer; David Hermann; Marvin Klemp; Benjamin Lickert; Florian Lüttner; Robin Moss; et al. (CoRR, 2024)