Prof. Dr. Bernhard Egger

Juniorprofessur für Cognitive Computer Vision (Stiftungsprofessur)

Deep Learning Compatible Differentiable X-ray Projections for Inverse Rendering () Shetty K, Birkhold A, Strobel N, Egger B, Jaganathan S, Kowarschik M, Maier A Conference contribution iRBSM: A Deep Implicit 3D Breast Shape Model (2025) Weiherer M, von Riedheim A, Brébant V, Egger B, Palm C Conference contribution Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View (2025) Dogaru A, Özer M, Egger B Conference contribution, Conference Contribution Capturing Complexity of the Foot Arch Bones: Evaluation of a Statistical Modelling Framework for Learning Shape, Pose and Intensity Features in a Continuous Domain (2025) Namayega C, Borotikar B, Menten M, Gibbon V, Thusini X, Egger B, Burssens A, et al. Conference contribution The Sky’s the Limit: Relightable Outdoor Scenes via a Sky-Pixel Constrained Illumination Prior and Outside-In Visibility (2025) Gardner JA, Kashin E, Egger B, Smith WA Conference contribution RANRAC: Robust Neural Scene Representations via Random Ray Consensus (2025) Buschmann B, Dogaru A, Eisemann E, Weinmann M, Egger B Conference contribution MATÉRN KERNELS FOR TUNABLE IMPLICIT SURFACE RECONSTRUCTION (2025) Weiherer M, Egger B Conference contribution Harnessing multimodal approaches for depression detection using large language models and facial expressions (2024) Sadeghi M, Richer R, Egger B, Schindler-Gmelch L, Rupp L, Rahimi F, Berking M, Eskofier B Journal article, Original article Facing depression: evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions – protocol of a randomized controlled trial (2024) Keinert EM, Schindler-Gmelch L, Rupp L, Sadeghi M, Capito K, Hager M, Rahimi F, et al. Journal article NeRFtrinsic Four: An end-to-end trainable NeRF jointly optimizing diverse intrinsic and extrinsic camera parameters (2024) Schieber H, Deuser F, Egger B, Oswald N, Roth D Journal article