Friedrich-Alexander-Universität Erlangen-Nürnberg
Chair of Visual Computing
Cognitive Computer Vision Lab
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I study how humans and machines can perceive faces and shapes in general. In particular, I choose to focus on statistical shape models and the 3D Morphable Models as generative representation since they naturally disentangle the underlying variables. In combination with computer graphics we simulate the image formation process and approach the inverse problem in an analysis-by-synthesis manner. I'm junior professor at the chair of visual computing at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Before joing FAU I was a postdoc in Josh Tenenbaum's Computational Cognitive Science Lab at the Departement of Brain and Cognitive Sciences at MIT and the Center for Brains, Minds and Machines (CBMM) and Polina Golland's group at MIT Computer Science & Artificial Intelligence Lab. I did my PhD on facial image annotation and interpretation in unconstrained images in the Graphics and Vision Research Group at the University of Basel. Before my doctorate I obtained my M.Sc. and B.Sc. in Computer Science at the University of Basel and an upper secondary school teaching Diploma at the University of Applied Sciences Northwestern Switzerland.
Publications
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior [pdf] [project page] [code] [data]
James AD Gardner, Bernhard Egger, William AP Smith
NeurIPS, 2022
A Lightweight Machine Learning Pipeline for LiDAR-simulation [pdf]
Richard Marcus, Niklas Knoop, Bernhard Egger and Marc Stamminger
In Proceedings of the 3rd International Conference on Deep Learning Theory and Applications - DeLTA, 176-183, Lisbon, Portugal, 2022
DOI: https://doi.org/10.5220/0011309100003277
Survey and Systematization of 3D Object Detection Models and Methods [pdf]
Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech
arXiv, 2022
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation [pdf] [video]
Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks
36th AAAI Conference on Artificial Intelligence 2022
DOI: https://doi.org/10.1609/aaai.v36i2.20091
Building 3D Generative Models from Minimal Data [pdf]
Skylar Sutherland, Bernhard Egger, Joshua Tenenbaum
arXiv, 2022
Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans [pdf]
Maximilian Weiherer, Andreas Eigenberger, Bernhard Egger, Vanessa Brébant, Lukas Prantl, Christoph Palm
The Visual Computer, 2022
DOI: https://doi.org/10.1007/s00371-022-02431-3
Identity-Expression Ambiguity in 3D Morphable Face Models [pdf] [video]
Bernhard Egger, Skylar Sutherland, Safa C. Medin, Josh Tenenbaum
Conference on Automatic Face and Gesture Recognition, December 2021
Round 1 accept, oral presentation, best poster award
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias [pdf] [talk]
Shubhaankar Gupta, Thomas P O'Connell, Bernhard Egger
Preregistration Workshop at NeurIPS'21.
To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision [pdf] [code]
Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski
arXiv, 2021
Improving the reconstruction of disentangled representation learners via multi-stage modelling [pdf]
Akash Srivastava, Yamini Bansal, Yukun Ding, Cole Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D Cox, Dan Gutfreund
arXiv, 2021
Building 3D Morphable Models from a Single Scan [pdf] [code]
Skylar Sutherland, Bernhard Egger, Josh Tenenbaum
International Conference on Computer Vision (ICCV) Workshops, October 2021
Seeing in the dark: Testing deep neural network and analysis-by-synthesis accounts of 3D shape perception with highly degraded images [pdf]
Hakan Yilmaz, Gargi Singh, Bernhard Egger, Joshua B Tenenbaum, Ilker Yildirim
43nd Annual Virtual Meeting of the Cognitive Science Society (CogSci), July 2021
Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering [pdf]
Karthik Shetty, Annette Birkhold, Norbert Strobel, Bernhard Egger, Srikrishna Jaganathan, Markus Kowarschik, Andreas Maier
Bildverarbeitung für die Medizin (BVM) 2021
What computational model provides the best explanation of face representations in the primate brain? [pdf]
Le Chang, Bernhard Egger, Thomas Vetter, Doris Y. Tsao
Current Biology, 2021
DOI: https://doi.org/10.1101/2020.06.07.111930
Inverse Rendering Best Explains Face Perception Under Extreme Illuminations
Bernhard Egger, Max Siegel, Riya Arora, Amir Arsalan Soltani, Ilker Yildirim, Josh Tenenbaum
42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci), July 2020
A Morphable Face Albedo Model [pdf] [code] [model]
William A.P Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Josh Tenenbaum, Bernhard Egger
Conference on Computer Vision and Pattern Recognition (CVPR), June 2020
oral presentation
https://openaccess.thecvf.com/content_CVPR_2020/papers/Smith_A_Morphable_Face_Albedo_Model_CVPR_2020_paper.pdf
3D Morphable Face Models - Past, Present and Future [pdf] [video]
Bernhard Egger, William A.P Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhoefer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter
ACM Transactions on Graphics, 2020
DOI: https://doi.org/10.1145/3395208
3D Morphable Models (Dagstuhl Seminar 19102) [pdf]
Editors: Bernhard Egger and William Smith and Christian Theobalt and Thomas Vetter
Dagstuhl Reports, Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 2019
DOI: http://doi.org/10.4230/DagRep.9.3.16
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators [pdf] [video]
Bernhard Egger, Markus Schirmer, Florian Dubost, Marco Nardin, Natalia Rost, Polina Golland
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019, Shenzhen, China, October 2019
Early Accept
DOI: https://doi.org/10.1007/978-3-030-32251-9_11
Analyzing and Reducing the Damage of Dataset Bias to Face Recognition with Synthetic Data [pdf] [code]
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter
Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2019
Best Paper Award
https://openaccess.thecvf.com/.../Kortylewski_Analyzing_and_Reducing_the_Damage_of_Dataset_Bias_to_Face_CVPRW_2019_paper.pdf
Shape in Medical Imaging [webpage]
Editors: Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Marcel Lüthi, Bernhard Egger
International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
DOI: https://doi.org/10.1007/978-3-030-04747-4
Occlusion-aware 3D Morphable Models and an Illumination Prior for Face Image Analysis [pdf] [tutorial] [code]
Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer and Thomas Vetter
International Journal of Computer Vision (IJCV), 2018
DOI: https://doi.org/10.1007/s11263-018-1064-8
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems [pdf] [code]
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter
Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2018
http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Kortylewski_Empirically_Analyzing_the_CVPR_2018_paper.pdf
Morphable Face Models - An Open Framework [pdf] [code]
Thomas Gerig, Andreas Morel-Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, Thomas Vetter
Conference on Automatic Face and Gesture Recognition, May 2018
DOI: https://doi.org/10.1109/FG.2018.00021
A Parametric Freckle Model for Faces [pdf]
Andreas Schneider, Bernhard Egger, Thomas Vetter
Conference on Automatic Face and Gesture Recognition, May 2018
DOI: https://doi.org/10.1109/FG.2018.00069
Efficient Global Illumination for Morphable Models [pdf] [tutorial]
Andreas Schneider, Sandro Schönborn, Bernhard Egger, Lavrenti Frobeen, Thomas Vetter
International Conference on Computer Vision (ICCV), October 2017
DOI: https://doi.org/10.1109/ICCV.2017.417
Copula Eigenfaces with Attributes: Semiparametric Principal Component Analysis for a Combined Color, Shape and Attribute Model [pdf]
Bernhard Egger*, Dinu Kaufmann*, Sandro Schönborn, Volker Roth and Thomas Vetter
Communications in Computer and Information Science book series (CCIS, volume 693), 2017
DOI: https://doi.org/10.1007/978-3-319-64870-5_5
Semantic Morphable Models [pdf] [code]
Bernhard Egger
PhD Thesis, University of Basel, 2017
DOI: https://doi.org/10.5451/unibas-006722192
Probabilistic Morphable Models [pdf] [code]
Bernhard Egger, Sandro Schönborn, Clemens Blumer, Thomas Vetter
Bookchapter in: Statistical Shape and Deformation Analysis - Methods, Implementation and Applications, Elsevier 2017
DOI: https://doi.org/10.1016/B978-0-12-810493-4.00006-7
Markov Chain Monte Carlo for Automated Face Image Analysis [pdf] [tutorial] [code]
Sandro Schönborn, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter
International Journal of Computer Vision (IJCV), 2017
DOI: http://dx.doi.org/10.1007/s11263-016-0967-5
Occlusion-aware 3D Morphable Face Models [data] [pdf] [press] [code]
Bernhard Egger, Andreas Schneider, Clemens Blumer, Andreas Morel-Forster, Sandro Schönborn, Thomas Vetter
British Machine Vision Conference (BMVC), September 2016
DOI: https://dx.doi.org/10.5244/C.30.64
Copula Eigenfaces - Semiparametric Principal Component Analysis for Facial Appearance Modeling [pdf]
Bernhard Egger*, Dinu Kaufmann*, Sandro Schönborn, Volker Roth and Thomas Vetter
11th International Conference on Computer Graphics Theory and Applications (GRAPP), February 27-29, 2016
DOI: http://dx.doi.org/10.5220/0005718800480056
Background Modeling for Generative Image Models [pdf] [code]
Sandro Schönborn, Bernhard Egger, Andreas Forster, and Thomas Vetter
Computer Vision and Image Understanding (CVIU), 2015
DOI: http://dx.doi.org/10.1016/j.cviu.2015.01.008
Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images [pdf]
Bernhard Egger, Sandro Schönborn, Andreas Forster and Thomas Vetter
IN: 36th German Conference of Pattern Recognition, GCPR 2014,
Münster, Germany, September 2-5, 2014
DOI: http://dx.doi.org/10.1007/978-3-319-11752-2_25
A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis [pdf] [code]
Sandro Schönborn, Andreas Forster, Bernhard Egger and Thomas Vetter
IN: 35th German Conference of Pattern Recognition, GCPR 2013,
Saarbrücken, Germany, September 3-6, 2013
DOI: http://dx.doi.org/10.1007/978-3-642-40602-7_11
Videos
Identity-Expression Ambiguity in 3D Morphable Face Models - AFC Lab Talk Series
Identity-Expression Ambiguity in 3D Morphable Face Models
3D Morphable Face Models - Past, Present and Future - Presentation - SIGGRAPH oral
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
My presentation at the IPAM Workshop I: Geometric Processing
Varia
Curated List of 3D Morphable Model Software and Data [list]
one result from Dagstuhl seminar on 3D Morphable Models in March 2019
Semantic Morphable Model Tutorial [resources]
Bernhard Egger and Thomas Vetter
Probabilistic Fitting Tutorial [resources]
Sandro Schönborn, Andreas Morel-Forster, Bernhard Egger and Thomas Vetter
Teaching Shape Modelling at High Schools [resources]
Bernhard Egger, Sandro Schönborn and Thomas Vetter
IN: Proceedings of the 2nd Shape Symposium, 2015, Delémont, Switzerland, September 30 - October 2, p 19.
Proceedings: http://shapesymposium.org
SIGBOVIK
A Free Computer Vision Lesson for Car Manufacturers or It is Time to Retire the Erlkonig [pdf]
Maximilian Weiherer and Bernhard Egger
SIGBOVIK (Special Interest Group on Harry Quechua Bovik), April 8st 2022
ACTION: A Catchy Title Is all yOu Need! [pdf]
Bernhard Egger, Kevin Smith*, Thomas O’Connell*, Max Siegel (*Co-middle Authors)
SIGBOVIK (Special Interest Group on Harry Quechua Bovik), April 8st 2022
(Un)helper functions [pdf]
Kevin Smith and Bernhard Egger
SIGBOVIK (Special Interest Group on Harry Quechua Bovik), April 8st 2022
openCHEAT: Computationally Helped Error bar Approximation Tool-Kickstarting Science 4.0 [pdf]
Bernhard Egger, Kevin Smith, David Cox, Max Siegel (Co-First and Co-Last Authors)
SIGBOVIK (Special Interest Group on Harry Quechua Bovik), April 1st 2021
HonkFast, PreHonk, HonkBack, PreHonkBack, HERS, AdHonk and AHC: the Missing Keys for Autonomous Driving [pdf]
Bernhard Egger, Max Siegel (Co-First and Co-Last Authors)
SIGBOVIK (Special Interest Group on Harry Quechua Bovik), April 1st 2020
Honk award
* These authors contributed equally to this work