Andreas Morel-Forster

According to our database, Andreas Morel-Forster authored at least 23 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation.

Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

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, Adam Kortylewski

CoRR, 2021

Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction.

Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Jonathan Aellen, Thomas Vetter

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the Shape in Medical Imaging - International Workshop, 2020

Learning Shape Priors from Pieces.

Dennis Madsen, Jonathan Aellen, Andreas Morel-Forster, Thomas Vetter, Marcel Lüthi

Proceedings of the Shape in Medical Imaging - International Workshop, 2020

A Closest Point Proposal for MCMC-based Probabilistic Surface Registration.

Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation.

Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Marcel Lüthi, Thomas Vetter

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Greedy Structure Learning of Hierarchical Compositional Models.

Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data.

Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis.

Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer, Thomas Vetter

Int. J. Comput. Vis., 2018

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance.

Adam Kortylewski, Andreas Schneider, Thomas Gerig, Clemens Blumer, Bernhard Egger, Corius Reyneke, 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, Thomas Vetter

CoRR, 2018

Training Deep Face Recognition Systems with Synthetic Data.

Adam Kortylewski, Andreas Schneider, Thomas Gerig, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter

CoRR, 2018

Probabilistic Fitting of Active Shape Models.

Andreas Morel-Forster, Thomas Gerig, Marcel Lüthi, Thomas Vetter

Proceedings of the Shape in Medical Imaging, 2018

Morphable Face Models - An Open Framework.

Thomas Gerig, Andreas Morel-Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, Thomas Vetter

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems.

Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Markov Chain Monte Carlo for Automated Face Image Analysis.

Sandro Schönborn, Bernhard Egger, Andreas Forster, Thomas Vetter

Int. J. Comput. Vis., 2017

2016

Occlusion-aware 3D Morphable Face Models.

Bernhard Egger, Andreas Schneider, Clemens Blumer, Andreas Forster, Sandro Schönborn, Thomas Vetter

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Background modeling for generative image models.

Sandro Schönborn, Bernhard Egger, Andreas Forster, Thomas Vetter

Comput. Vis. Image Underst., 2015

2014

Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images.

Bernhard Egger, Sandro Schönborn, Andreas Forster, Thomas Vetter

Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013

Human face shape analysis under spherical harmonics illumination considering self occlusion.

Jasenko Zivanov, Andreas Forster, Sandro Schönborn, Thomas Vetter

Proceedings of the International Conference on Biometrics, 2013

A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis.

Sandro Schönborn, Andreas Forster, Bernhard Egger, Thomas Vetter

Proceedings of the Pattern Recognition - 35th German Conference, 2013