Items where Author is "Gerig, Thomas"

2021

Gerig, Thomas. Gaussian Process Morphable Models for Spatially-Varying Multi-Scale Registration. 2021, Doctoral Thesis, University of Basel, Faculty of Science.

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).

Dölz, Jürgen and Gerig, Thomas and Lüthi, Marcel and Harbrecht, Helmut and Vetter, Thomas. (2019) Error-Controlled Model Approximation for Gaussian Process Morphable Models. Journal of Mathematical Imaging and Vision, 61 (4). pp. 443-457.

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.

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.

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

Dölz, Jürgen and Gerig, Thomas and Harbrecht , Helmut and Lüthi, Marcel and Vetter, Thomas. (2017) Efficient computation of low-rank Gaussian process models for surface and image registration. Preprints Fachbereich Mathematik, 2017 (01).

Lüthi, Marcel and Gerig, Thomas and Jud, Christoph and Vetter, Thomas. (2017) Gaussian Process Morphable Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP (99).

2014

Gerig, Thomas and Shahim, Kamal and Reyes, Mauricio and Vetter, Thomas and Lüthi, Marcel.. (2014) Spatially varying registration using Gaussian processes. In: Medical image computing and computer-assisted intervention – MICCAI 2014 : 17th International Conference, Boston, MA, USA, September 14-18, 2014 ; Proceedings, Part 2. Cham, pp. 414-420.

2013

Albrecht, Thomas and Lüthi, Marcel and Gerig, Thomas and Vetter, Thomas. (2013) Posterior shape models. Medical Image Analysis, 17 (8). pp. 959-973.