Prof. Dr. Bernhard Egger

Juniorprofessur für Cognitive Computer Vision (Stiftungsprofessur)

Analyzing and reducing the damage of dataset bias to face recognition with synthetic data (2019) Kortylewski A, Egger B, Schneider A, Gerig T, Morel-Forster A, Vetter T Conference contribution Patient-specific conditional joint models of shape, image features and clinical indicators (2019) Egger B, Schirmer MD, Dubost F, Nardin MJ, Rost NS, Golland P Conference contribution Empirically analyzing the effect of dataset biases on deep face recognition systems (2018) Kortylewski A, Egger B, Schneider A, Gerig T, Morel-Forster A, Vetter T Conference contribution Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis (2018) Egger B, Schonborn S, Schneider A, Kortylewski A, Morel-Forster A, Blumer C, Vetter T Journal article Morphable face models - An open framework (2018) Gerig T, Morel-Forster A, Blumer C, Egger B, Luthi M, Schonborn S, Vetter T Conference contribution, Conference Contribution A parametric freckle model for faces (2018) Schneider A, Egger B, Vetter T Conference contribution Efficient Global Illumination for Morphable Models (2017) Schneider A, Schonborn S, Egger B, Frobeen L, Vetter T Conference contribution Markov Chain Monte Carlo for Automated Face Image Analysis (2017) Schonborn S, Egger B, Morel-Forster A, Vetter T Journal article Probabilistic Morphable Models (2017) Egger B, Schönborn S, Blumer C, Vetter T Book chapter / Article in edited volumes Copula eigenfaces with attributes: Semiparametric principal component analysis for a combined color, shape and attribute model (2017) Egger B, Kaufmann D, Schonborn S, Roth V, Vetter T Conference contribution