Items where Author is "Morel-Forster, Andreas"

Yes

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.

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.

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.

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.

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.