Items where Author is "Morel-Forster, Andreas"

2020

Madsen, Dennis and Morel-Forster, Andreas and Kahr, Patrick and Rahbani, Dana and Vetter, Thomas and Lüthi, Marcel. (2020) A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. In: Computer Vision - ECCV 2020. 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVII. Cham, pp. 281-296.

Madsen, Dennis and Aellen, Jonathan and Morel-Forster, Andreas and Vetter, Thomas and Lüthi, Marcel. (2020) Learning Shape Priors from Pieces. In: Shape in Medical Imaging. Cham, pp. 30-43.

2019

Kortylewski, Adam and Egger, Bernhard and Schneider, Andreas and Gerig, Thomas and Morel-Forster, Andreas and Vetter, Thomas. (2019) Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. In: CVPR-2019-Workshop: Bias Estimation in Face Analytics (BEFA).

Kortylewski, Adam and Wieczorek, Aleksander and Wieser, Mario and Blumer, Clemens and Parbhoo, Sonali and Morel-Forster, Andreas and Roth, Volker and Vetter, Thomas. (2019) Greedy Structure Learning of Hierarchical Compositional Models. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 11612-11621.

Rahbani, Dana and Morel-Forster, Andreas and Madsen, Dennis and Lüthi, Marcel and Vetter, Thomas. (2019) Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation. In: LABELS 2019, HAL-MICCAI 2019, CuRIOUS 2019: Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 11851. pp. 13-21.

2018

Kortylewski, Adam and Egger, Bernhard and Schneider, Andreas and Gerig, Thomas and Morel-Forster, Andreas and Vetter, Thomas. (2018) Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR). pp. 2206-2215.

Kortylewski, Adam and Wieser, Mario and Morel-Forster, Andreas and Wieczorek, Aleksander and Parbhoo, Sonali and Roth, Volker and Vetter, Thomas. (2018) Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. In: NeurIPS 2018, Bayesian Deep Learning Workshop. pp. 1-4.

Gerig, Thomas and Morel-Forster, Andreas and Blumer, Clemens and Egger, Bernhard and Lüthi, Marcel and Schönborn, Sandro and Vetter, Thomas. (2018) Morphable Face Models - An Open Framework. In: 13th IEEE Conference on Automatic Face and Gesture Recognition (FG 2018). pp. 75-82.

Egger, Bernhard and Schönborn, Sandro and Schneider, Andreas and Kortylewski, Adam and Morel-Forster, Andreas and Blumer, Clemens and Vetter, Thomas. (2018) Occlusion-aware 3D Morphable Models and an Illumination Prior for Face Image Analysis. International Journal of Computer Vision, 126 (12). pp. 1269-1287.

Morel-Forster, Andreas and Gerig, Thomas and Lüthi, Marcel and Vetter, Thomas. (2018) Probabilistic Fitting of Active Shape Models. In: International Workshop on Shape in Medical Imaging, 11167. pp. 137-146.

2017

Schönborn, Sandro and Egger, Bernhard and Morel-Forster, Andreas and Vetter, Thomas. (2017) Markov Chain Monte Carlo for Automated Face Image Analysis. International Journal of Computer Vision, 123 (2). pp. 160-183.

2016

Morel-Forster, Andreas. Generative shape and image analysis by combining Gaussian processes and MCMC sampling. 2016, Doctoral Thesis, University of Basel, Faculty of Science.

Egger, Bernhard and Schneider, Andreas and Blumer, Clemens and Morel-Forster, Andreas and Schönborn, Sandro and Vetter, Thomas. (2016) Occlusion-aware 3D Morphable Face Models. In: British Machine Vision Conference (BMVC), September 2016. Guildford, 64.1-64.11.