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ORCIDBernhard Egger 0001
Person information
- affiliation: Friedrich-Alexander-University, Germany
Other persons with the same name
- Bernhard Egger — disambiguation page
- Bernhard Egger 0002
![[0000-0002-6645-6161]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6645-6161")
— Seoul National University, Seoul, Korea
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2020 – today
- 2024
[j10]Hannah Schieber, Fabian Deuser, Bernhard Egger, Norbert Oswald, Daniel Roth:
NeRFtrinsic Four: An end-to-end trainable NeRF jointly optimizing diverse intrinsic and extrinsic camera parameters. Comput. Vis. Image Underst. 249: 104206 (2024)- [j9]Skylar Sutherland, Bernhard Egger, Joshua B. Tenenbaum:
Building 3D Generative Models from Minimal Data. Int. J. Comput. Vis. 132(2): 555-580 (2024) - [j8]Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech:
Survey and systematization of 3D object detection models and methods. Vis. Comput. 40(3): 1867-1913 (2024) - [c41]Daon Park, Bernhard Egger:
Improving Throughput-oriented LLM Inference with CPU Computations. PACT 2024: 233-245 - [c40]Maximilian Hahn, Bernhard Egger:
Interactive Exploration of Conditional Statistical Shape Models in the Web-browser - exploreCOSMOS. Bildverarbeitung für die Medizin 2024: 108-113 - [c39]Rahul Dey, Bernhard Egger, Vishnu Naresh Boddeti, Ye Wang, Tim K. Marks:
CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation. CVPR Workshops 2024: 2852-2861 - [c38]Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X. Huang, Tim K. Marks:
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models. CVPR 2024: 9015-9025 - [c37]Benno Buschmann, Andreea Dogaru, Elmar Eisemann, Michael Weinmann, Bernhard Egger:
RANRAC: Robust Neural Scene Representations via Random Ray Consensus. ECCV (76) 2024: 126-143 - [c36]James A. D. Gardner, Evgenii Kashin, Bernhard Egger, William A. P. Smith:
The Sky's the Limit: Relightable Outdoor Scenes via a Sky-Pixel Constrained Illumination Prior and Outside-In Visibility. ECCV (54) 2024: 126-143 - [c35]Daniel Zieger, Florian Güthlein, Jann-Ole Henningson, Verena Jakob, Heiko Gaßner, Julian Shanbhag, Sophie Fleischmann, Jörg Miehling, Sandro Wartzack, Björn M. Eskofier, Jürgen Winkler, Bernhard Egger, Marc Stamminger:
3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars. ShapeMI@MICCAI 2024: 70-83 - [c34]Dominik Penk, Maik Horn, Christoph Strohmeyer, Bernhard Egger, Marc Stamminger, Frank Bauer:
AbSynth: Using Abstract Image Synthesis for Synthetic Training. VISIGRAPP (2): VISAPP 2024: 718-729 - [c33]Shiyu Li, Hannah Schieber, Niklas Corell, Bernhard Egger, Julian Kreimeier, Daniel Roth:
GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance. VR 2024: 513-523 - [c32]Maximilian Weiherer, Finn Klein, Bernhard Egger:
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo. WACV 2024: 6352-6361 - [i35]Shiyu Li, Hannah Schieber, Niklas Corell, Bernhard Egger, Julian Kreimeier, Daniel Roth:
GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance. CoRR abs/2402.07677 (2024) - [i34]Mert Özer, Maximilian Weiherer, Martin Hundhausen, Bernhard Egger:
Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging. CoRR abs/2403.11865 (2024) - [i33]Maximilian Weiherer, Andreea Dogaru, Shreya Kapoor, Hannah Schieber, Bernhard Egger:
AMOR: Ambiguous Authorship Order. CoRR abs/2404.00994 (2024) - [i32]Andreea Dogaru, Mert Özer, Bernhard Egger:
Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View. CoRR abs/2404.03421 (2024) - [i31]Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X. Huang, Tim K. Marks:
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models. CoRR abs/2404.16306 (2024) - [i30]Maximilian Weiherer, Bernhard Egger:
Matérn Kernels for Tunable Implicit Surface Reconstruction. CoRR abs/2409.15466 (2024) - 2023
- [j7]Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Bernhard Egger, Markus Kowarschik, Andreas K. Maier:
BOSS: Bones, organs and skin shape model. Comput. Biol. Medicine 165: 107383 (2023) - [j6]Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik:
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. Comput. Graph. Forum 42(2): 485-520 (2023) - [j5]Maximilian Weiherer, Andreas Eigenberger, Bernhard Egger, Vanessa Brébant, Lukas Prantl, Christoph Palm:
Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans. Vis. Comput. 39(4): 1597-1616 (2023) - [c31]Misha Sadeghi, Bernhard Egger, Reza Agahi, Robert Richer, Klara Capito, Lydia Helene Rupp, Lena Schindler-Gmelch, Matthias Berking, Bjoern M. Eskofier:
Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data. BHI 2023: 1-5 - [c30]Shreya Kapoor, Maximilian Weiherer, Max H. Siegel, Amir Arsalan Soltani, Ilker Yildirim, Josh Tenenbaum, Bernhard Egger:
Perception of Mooney Faces: Extreme Generalization through Inverse Rendering? CogSci 2023 - [c29]Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski:
Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation. CVPR 2023: 372-381 - [c28]Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas K. Maier, Bernhard Egger:
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation. CVPR 2023: 574-584 - [c27]Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou:
VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. ICCV (Workshops) 2023: 1113-1120 - [c26]Vanessa Wirth, Anna-Maria Liphardt, Birte Coppers, Johanna Bräunig, Simon Heinrich, Sigrid Leyendecker, Arnd Kleyer, Georg Schett, Martin Vossiek, Bernhard Egger, Marc Stamminger:
ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty. ICCV (Workshops) 2023: 2617-2625 - [c25]Mohit Choithwani, Sneha Almeida, Bernhard Egger:
PoseBias: On Dataset Bias and Task Difficulty - Is there an Optimal Camera Position for Facial Image Analysis? ICCV (Workshops) 2023: 3088-3096 - [c24]Karthik Shetty, Annette Birkhold, Bernhard Egger, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas K. Maier:
HOOREX: Higher Order Optimizers for 3D Recovery from X-Ray Images. ML4MHD 2023: 115-124 - [c23]Benjamin Cappell, Andreas Stoll, Williams Chukwudi Umah, Bernhard Egger:
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development. UniReps 2023: 76-86 - [d1]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN Pre-trained Model. Zenodo, 2023
- [i29]Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Bernhard Egger, Markus Kowarschik, Andreas K. Maier:
BOSS: Bones, Organs and Skin Shape Model. CoRR abs/2303.04923 (2023) - [i28]Hannah Schieber, Fabian Deuser, Bernhard Egger, Norbert Oswald, Daniel Roth:
NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters. CoRR abs/2303.09412 (2023) - [i27]Vanessa Wirth, Anna-Maria Liphardt, Birte Coppers, Johanna Bräunig, Simon Heinrich, Arnd Kleyer, Georg Schett, Martin Vossiek, Bernhard Egger, Marc Stamminger:
ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty. CoRR abs/2303.10042 (2023) - [i26]Maximilian Weiherer, Bernhard Egger:
From Zero to Hero: Convincing with Extremely Complicated Math. CoRR abs/2304.00399 (2023) - [i25]James A. D. Gardner, Bernhard Egger, William A. P. Smith:
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior. CoRR abs/2311.09361 (2023) - [i24]James A. D. Gardner, Evgenii Kashin, Bernhard Egger, William A. P. Smith:
The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility. CoRR abs/2311.16937 (2023) - [i23]Benjamin Cappell, Andreas Stoll, Williams Chukwudi Umah, Bernhard Egger:
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development. CoRR abs/2311.17232 (2023) - [i22]Benno Buschmann, Andreea Dogaru, Elmar Eisemann, Michael Weinmann, Bernhard Egger:
RANRAC: Robust Neural Scene Representations via Random Ray Consensus. CoRR abs/2312.09780 (2023) - 2022
- [c22]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. AAAI 2022: 1962-1971 - [c21]Yoni Friedman, Thomas P. O'Connell, Max H. Siegel, Daniel M. Bear, Tuan Anh Le, Bernhard Egger, Josh Tenenbaum:
Benchmarking mid-level vision with texture-defined 3D objects. CogSci 2022 - [c20]Richard Marcus, Niklas Knoop, Bernhard Egger, Marc Stamminger:
A Lightweight Machine Learning Pipeline for LiDAR-simulation. DeLTA 2022: 176-183 - [c19]James A. D. Gardner, Bernhard Egger, William Smith:
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior. NeurIPS 2022 - [i21]Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech:
Survey and Systematization of 3D Object Detection Models and Methods. CoRR abs/2201.09354 (2022) - [i20]Skylar Sutherland, Bernhard Egger, Joshua B. Tenenbaum:
Building 3D Generative Models from Minimal Data. CoRR abs/2203.02554 (2022) - [i19]James A. D. Gardner, Bernhard Egger, William A. P. Smith:
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior. CoRR abs/2206.03858 (2022) - [i18]Richard Marcus, Niklas Knoop, Bernhard Egger, Marc Stamminger:
A Lightweight Machine Learning Pipeline for LiDAR-simulation. CoRR abs/2208.03130 (2022) - [i17]Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik:
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. CoRR abs/2210.15664 (2022) - [i16]Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas K. Maier, Bernhard Egger:
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation. CoRR abs/2211.11734 (2022) - [i15]Maximilian Weiherer, Finn Klein, Bernhard Egger:
Approximating Intersections and Differences Between Statistical Shape Models. CoRR abs/2211.16314 (2022) - [i14]James A. D. Gardner, Bernhard Egger, William Smith, Christian Theobalt, Stefanie Wuhrer:
3D Morphable Models and Beyond (Dagstuhl Seminar 22121). Dagstuhl Reports 12(3): 97-116 (2022) - 2021
- [c18]Karthik Shetty, Annette Birkhold, Norbert Strobel, Bernhard Egger, Srikrishna Jaganathan, Markus Kowarschik, Andreas Maier:
Deep Learning Compatible Differentiable X-ray Projections for Inverse Rendering. Bildverarbeitung für die Medizin 2021: 290-295 - [c17]Yoni Friedman, Tuan Anh Le, Bernhard Egger, Max H. Siegel, Josh Tenenbaum:
Explaining the Gestalt principle of common fate as amortized inference. CogSci 2021 - [c16]Hakan Yilmaz, Gargi Singh, Bernhard Egger, Josh Tenenbaum, Ilker Yildirim:
Seeing in the dark: Testing deep neural network and analysis-by-synthesis accounts of 3D shape perception with highly degraded images. CogSci 2021 - [c15]Bernhard Egger, Skylar Sutherland, Safa C. Medin, Joshua B. Tenenbaum:
Identity-Expression Ambiguity in 3D Morphable Face Models. FG 2021: 1-7 - [c14]Skylar Sutherland, Bernhard Egger, Josh Tenenbaum:
Building 3D Morphable Models from a Single Scan. ICCVW 2021: 1-11 - [i13]Karthik Shetty, Annette Birkhold, Norbert Strobel, Bernhard Egger, Srikrishna Jaganathan, Markus Kowarschik, Andreas Maier:
Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering. CoRR abs/2102.02912 (2021) - [i12]Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski:
To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision. CoRR abs/2106.09614 (2021) - [i11]Bernhard Egger, Skylar Sutherland, Safa C. Medin, Joshua B. Tenenbaum:
Identity-Expression Ambiguity in 3D Morphable Face Models. CoRR abs/2109.14203 (2021) - [i10]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. CoRR abs/2111.01048 (2021) - 2020
- [j4]Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhöfer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter:
3D Morphable Face Models - Past, Present, and Future. ACM Trans. Graph. 39(5): 157:1-157:38 (2020) - [c13]Bernhard Egger, Max H. Siegel, Riya Arora, Amir Arsalan Soltani, Ilker Yildirim, Josh Tenenbaum:
Inverse Rendering Best Explains Face Perception Under Extreme Illuminations. CogSci 2020 - [c12]Skylar Sutherland, Bernhard Egger, Josh Tenenbaum:
Learning a Generative Model of Human Faces Through Inverse Rendering. CogSci 2020 - [c11]William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger:
A Morphable Face Albedo Model. CVPR 2020: 5010-5019 - [i9]William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger:
A Morphable Face Albedo Model. CoRR abs/2004.02711 (2020) - [i8]Akash Srivastava, Yamini Bansal, Yukun Ding, Cole L. Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund:
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling. CoRR abs/2010.13187 (2020) - [i7]Skylar Sutherland, Bernhard Egger, Joshua B. Tenenbaum:
Building 3D Morphable Models from a Single Scan. CoRR abs/2011.12440 (2020)
2010 – 2019
- 2019
- [c10]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. CVPR Workshops 2019: 2261-2268 - [i6]Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhöfer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter:
3D Morphable Face Models - Past, Present and Future. CoRR abs/1909.01815 (2019) - [i5]Bernhard Egger, William A. P. Smith, Christian Theobalt, Thomas Vetter:
3D Morphable Models (Dagstuhl Seminar 19102). Dagstuhl Reports 9(3): 16-38 (2019) - 2018
- [j3]Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer, Thomas Vetter:
Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis. Int. J. Comput. Vis. 126(12): 1269-1287 (2018) - [c9]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CVPR Workshops 2018: 2093-2102 - [c8]Thomas Gerig, Andreas Morel-Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, Thomas Vetter:
Morphable Face Models - An Open Framework. FG 2018: 75-82 - [c7]Andreas Schneider, Bernhard Egger, Thomas Vetter:
A Parametric Freckle Model for Faces. FG 2018: 431-435 - [i4]Adam Kortylewski, Andreas Schneider, Thomas Gerig, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter:
Training Deep Face Recognition Systems with Synthetic Data. CoRR abs/1802.05891 (2018) - [i3]Adam Kortylewski, Andreas Schneider, Thomas Gerig, Clemens Blumer, Bernhard Egger, Corius Reyneke, Andreas Morel-Forster, Thomas Vetter:
Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance. CoRR abs/1811.08565 (2018) - 2017
- [j2]Sandro Schönborn, Bernhard Egger, Andreas Forster, Thomas Vetter:
Markov Chain Monte Carlo for Automated Face Image Analysis. Int. J. Comput. Vis. 123(2): 160-183 (2017) - [c6]Andreas Schneider, Sandro Schönborn, Bernhard Egger, Lavrenti Frobeen, Thomas Vetter:
Efficient Global Illumination for Morphable Models. ICCV 2017: 3885-3893 - [i2]Thomas Gerig, Andreas Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, Thomas Vetter:
Morphable Face Models - An Open Framework. CoRR abs/1709.08398 (2017) - [i1]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CoRR abs/1712.01619 (2017) - 2016
- [c5]Bernhard Egger, Andreas Schneider, Clemens Blumer, Andreas Forster, Sandro Schönborn, Thomas Vetter:
Occlusion-aware 3D Morphable Face Models. BMVC 2016 - [c4]Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter:
Copula Eigenfaces - Semiparametric Principal Component Analysis for Facial Appearance Modeling. VISIGRAPP (1: GRAPP) 2016: 50-58 - [c3]Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter:
Copula Eigenfaces with Attributes: Semiparametric Principal Component Analysis for a Combined Color, Shape and Attribute Model. VISIGRAPP (Revised Selected Papers) 2016: 95-112 - 2015
- [j1]Sandro Schönborn, Bernhard Egger, Andreas Forster, Thomas Vetter:
Background modeling for generative image models. Comput. Vis. Image Underst. 136: 117-127 (2015) - 2014
- [c2]Bernhard Egger, Sandro Schönborn, Andreas Forster, Thomas Vetter:
Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images. GCPR 2014: 317-327 - 2013
- [c1]Sandro Schönborn, Andreas Forster, Bernhard Egger, Thomas Vetter:
A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis. GCPR 2013: 101-110
Coauthor Index
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