Andreas Schneider

Efficient Global Illumination for Morphable Models

Bernhard Egger, Thomas Vetter, Andreas Schneider, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis

T. Vetter, B. Egger, C. Blumer, 2018, International Journal of Computer Vision.

Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018 .

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance pdf

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018, ArXiv.

Occlusion-aware 3D Morphable Face Models

Bernhard Egger, Thomas Vetter, Andreas Schneider, 2016, BMVC.

Training Deep Face Recognition Systems with Synthetic Data pdf

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018, ArXiv.

Probabilistic Joint Face-Skull Modelling for Facial Reconstruction

Thomas Vetter, Andreas Schneider, Marcel Lüthi, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.