Andreas Morel-Forster

18 papers A* 2B 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2023 A* conf
Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation.
CVPR
Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski
2022 J jnl
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression.
CoRR
Dennis Madsen, Jonathan Aellen, Andreas Morel-Forster, Thomas Vetter, Marcel Lüthi
2021 — conf
Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction.
MICCAI (5)
Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Jonathan Aellen, Thomas Vetter
2021 J jnl
To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision.
CoRR
Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski
2020 — conf
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration.
ECCV (17)
Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi
2020 — conf
Learning Shape Priors from Pieces.
ShapeMI@MICCAI
Dennis Madsen, Jonathan Aellen, Andreas Morel-Forster, Thomas Vetter, Marcel Lüthi
2019 J jnl
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration.
CoRR
Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi
2019 — conf
Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data.
CVPR Workshops
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter
2019 A* conf
Greedy Structure Learning of Hierarchical Compositional Models.
CVPR
Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter
2019 — conf
Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation.
LABELS/HAL-MICCAI/CuRIOUS@MICCAI
Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Marcel Lüthi, Thomas Vetter
2018 — conf
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems.
CVPR Workshops
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter
2018 J jnl
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis.
CoRR
Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter
2018 B conf
Morphable Face Models - An Open Framework.
FG
Thomas Gerig, Andreas Morel-Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, Thomas Vetter
2018 J jnl
Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis.
Int. J. Comput. Vis.
Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer, Thomas Vetter
2018 J jnl
Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance.
CoRR
Adam Kortylewski, Andreas Schneider, Thomas Gerig, Clemens Blumer, Bernhard Egger, Corius Reyneke, Andreas Morel-Forster, Thomas Vetter
2018 — conf
Probabilistic Fitting of Active Shape Models.
ShapeMI@MICCAI
Andreas Morel-Forster, Thomas Gerig, Marcel Lüthi, Thomas Vetter
2018 J jnl
Training Deep Face Recognition Systems with Synthetic Data.
CoRR
Adam Kortylewski, Andreas Schneider, Thomas Gerig, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter
2017 J jnl
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems.
CoRR
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter