Prof. Dr. Bernhard Egger

Juniorprofessur für Cognitive Computer Vision (Stiftungsprofessur)

MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation (2022) Medin SC, Egger B, Cherian A, Wang Y, Tenenbaum JB, Liu X, Marks TK Conference contribution A Lightweight Machine Learning Pipeline for LiDAR-simulation (2022) Marcus R, Knoop N, Egger B, Stamminger M Conference contribution Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans (2022) Weiherer M, Eigenberger A, Egger B, Brébant V, Prantl L, Palm C Journal article Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior (2022) Gardner JA, Egger B, Smith WA Conference contribution Explaining face representation in the primate brain using different computational models (2021) Chang L, Egger B, Vetter T, Tsao DY Journal article Identity-Expression Ambiguity in 3D Morphable Face Models (2021) Egger B, Sutherland S, Medin SC, Tenenbaum J Conference contribution Deep Learning Compatible Differentiable X-ray Projections for Inverse Rendering (2021) Shetty K, Birkhold A, Strobel N, Egger B, Jaganathan S, Kowarschik M, Maier A Conference contribution 3D Morphable Face Modelsa-Past, Present, and Future (2020) Egger B, Smith WAP, Tewari A, Wuhrer S, Zollhoefer M, Beeler T, Bernard F, et al. Journal article A morphable face Albedo model (2020) Smith WAP, Seck A, Dee H, Tiddeman B, Tenenbaum JB, Egger B Conference contribution 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