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ORCIDAndreas Morel-Forster
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- affiliation: University of Basel, Switzerland
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2020 – today
- 2024
[i9]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, Nicole Neis, Maria Pohle, Dominik Schreiber, Cathrina Sowa, Daniel Stadler, Janina Stompe, Michael Strobelt, David Unger, Jens R. Ziehn:
A Joint Approach Towards Data-Driven Virtual Testing for Automated Driving: The AVEAS Project. CoRR abs/2405.06286 (2024)- 2023
- [c15]Chunlu Li
, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski:
Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation. CVPR 2023: 372-381 - 2022
- [i8]Dennis Madsen, Jonathan Aellen, Andreas Morel-Forster, Thomas Vetter, Marcel Lüthi:
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression. CoRR abs/2203.09986 (2022) - 2021
- [c14]Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Jonathan Aellen, Thomas Vetter:
Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction. MICCAI (5) 2021: 429-438 - [i7]Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski:
To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision. CoRR abs/2106.09614 (2021) - 2020
- [c13]Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi:
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. ECCV (17) 2020: 281-296 - [c12]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:
Uncertainty Reduction in Contour-Based 3D/2D Registration of Bone Surfaces. ShapeMI@MICCAI 2020: 18-29 - [c11]Dennis Madsen, Jonathan Aellen, Andreas Morel-Forster, Thomas Vetter, Marcel Lüthi:
Learning Shape Priors from Pieces. ShapeMI@MICCAI 2020: 30-43
2010 – 2019
- 2019
- [c10]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. CVPR Workshops 2019: 2261-2268 - [c9]Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter:
Greedy Structure Learning of Hierarchical Compositional Models. CVPR 2019: 11612-11621 - [c8]Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Marcel Lüthi, Thomas Vetter:
Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 13-21 - [i6]Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi:
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. CoRR abs/1907.01414 (2019) - 2018
- [j3]Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer, Thomas Vetter:
Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis. Int. J. Comput. Vis. 126(12): 1269-1287 (2018) - [c7]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CVPR Workshops 2018: 2093-2102 - [c6]Thomas Gerig, Andreas Morel-Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, Thomas Vetter:
Morphable Face Models - An Open Framework. FG 2018: 75-82 - [c5]Andreas Morel-Forster, Thomas Gerig, Marcel Lüthi, Thomas Vetter:
Probabilistic Fitting of Active Shape Models. ShapeMI@MICCAI 2018: 137-146 - [i5]Adam Kortylewski, Andreas Schneider, Thomas Gerig, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter:
Training Deep Face Recognition Systems with Synthetic Data. CoRR abs/1802.05891 (2018) - [i4]Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter:
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. CoRR abs/1811.07969 (2018) - [i3]Adam Kortylewski, Andreas Schneider, Thomas Gerig, Clemens Blumer, Bernhard Egger, Corius Reyneke, Andreas Morel-Forster, Thomas Vetter:
Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance. CoRR abs/1811.08565 (2018) - 2017
- [j2]Sandro Schönborn, Bernhard Egger, Andreas Forster, Thomas Vetter:
Markov Chain Monte Carlo for Automated Face Image Analysis. Int. J. Comput. Vis. 123(2): 160-183 (2017) - [i2]Thomas Gerig, Andreas Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, Thomas Vetter:
Morphable Face Models - An Open Framework. CoRR abs/1709.08398 (2017) - [i1]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CoRR abs/1712.01619 (2017) - 2016
- [c4]Bernhard Egger, Andreas Schneider, Clemens Blumer, Andreas Forster, Sandro Schönborn, Thomas Vetter:
Occlusion-aware 3D Morphable Face Models. BMVC 2016 - 2015
- [j1]Sandro Schönborn, Bernhard Egger, Andreas Forster, Thomas Vetter:
Background modeling for generative image models. Comput. Vis. Image Underst. 136: 117-127 (2015) - 2014
- [c3]Bernhard Egger, Sandro Schönborn, Andreas Forster, Thomas Vetter:
Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images. GCPR 2014: 317-327 - 2013
- [c2]Sandro Schönborn, Andreas Forster, Bernhard Egger, Thomas Vetter:
A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis. GCPR 2013: 101-110 - [c1]Jasenko Zivanov, Andreas Forster, Sandro Schönborn, Thomas Vetter:
Human face shape analysis under spherical harmonics illumination considering self occlusion. ICB 2013: 1-8
Coauthor Index
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last updated on 2024-09-22 00:32 CEST by the dblp team
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