Prof. Dr. Bernhard Egger

Juniorprofessur für Cognitive Computer Vision (Stiftungsprofessur)

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 Copula eigenfaces: Semiparametric principal component analysis for facial appearance modeling (2016) Kaufmann D, Schönborn S, Roth V, Vetter T, Egger B Conference contribution