Keuper, Janis
Prof. Dr.-Ing.
Raum: C108
Badstraße 24, 77652 Offenburg
Funktionen
- Professor
Prof. Dr.-Ing.
Raum: C108
Badstraße 24, 77652 Offenburg
Reviewer bei top KI und Computer Vision Konferenzen/Journalen wie NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, TPAMI
2026 | |||
Konferenzveröffentlichung | |||
Henrik Pichler, Janis Keuper, Matthew Copping | Assessing Foundation Models for Mold Colony Detection with Limited Training Data | Pattern Recognition : 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23–26, 2025, Proceedings, Margret Keuper, Francesco Locatello (Eds.), pp. 337-352, 2026 | |
2025 | |||
Dissertation / Habilitation | |||
Julia Grabinski | Multifaceted Analysis of Deep Convolutional Neural Networks and Novel Fourier Modules | Doctoral thesis, Universität Mannheim, 2025 | |
Konferenzveröffentlichung | |||
Bianca Lamm, Janis Keuper | A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification | Proceedings : 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops : CVPRW 2025, pp. 2080-2089, 2025 | |
Martin Spitznagel, Daniel Ladwig, Jan Vaillant, Klaus Dorer, Janis Keuper | pp. 1-3, 2025 | ||
Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper | The Thirteenth International Conference on Learning Representations, pp. 1-32, 2025 | ||
Mario Ruben Fernandez, Norman Ettrich, Matthias Delescluse, Janis Keuper | Encoding Spatio-Temporal Coordinates in Convolutional Neural Networks for Seismic Data Processing | Second EAGE Data Processing Workshop, pp. 1-3, 2025 | |
Mario Ruben Fernandez, Norman Ettrich, Matthias Delescluse, Janis Keuper | Encoding Spatio-Temporal Coordinates in Seismic Demultiple with Convolutional Neural Networks | 86th EAGE Annual Conference & Exhibition, pp. 1-5, 2025 | |
Martin Spitznagel, Jan Vaillant, Janis Keuper | PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations? | Proceedings : 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition : CVPR 2025, pp. 11125-11134, 2025 | |
Achim Eckerle, Martin Spitznagel, Janis Keuper | Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows | UrbanAI: Harnessing Artificial Intelligence for Smart Cities, pp. 1-6, 2025 | |
Mario Ruben Fernandez, Norman Ettrich, Matthias Delescluse, Janis Keuper | Fifth EAGE Digitalization Conference & Exhibition, pp. 1-5, 2025 | ||
Mario Ruben Fernandez, Matthias Delescluse, Norman Ettrich, Janis Keuper | 86th EAGE Annual Conference & Exhibition, pp. 1-5, 2025 | ||
Zeitschriftenartikel, wissenschaftlich | |||
Lars Nieradzik, Henrike Stephani, Janis Keuper | Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach | International Journal of Computer Vision, 133(5), pp. 2392-2409, 2025 | |
Mario Ruben Fernandez, Norman Ettrich, Matthias Delescluse, Alain Rabaute, Janis Keuper | Geophysical Prospecting, 73(4), pp. 1185-1203, 2025 | ||
2024 | |||
Forschungsbericht | |||
Dominik Straßel, Ralph Isenmann, Janis Keuper | 2024 | ||
Janis Keuper | Hochschule Offenburg, 2024 | ||
Konferenzveröffentlichung | |||
Daniel Ladwig, Martin Spitznagel, Jan Vaillant, Klaus Dorer, Janis Keuper | Proceedings of the Upper-Rhine Artificial Intelligence Symposium 2024, Janis Keuper, Klaus Dorer (Eds.), pp. 85-94, 2024 | ||
Peter Lorenz, Ricard Durall Lopez, Janis Keuper | Adversarial Examples are Misaligned in Diffusion Model Manifolds | IJCNN 2024 : Conference Proceedings, pp. 1-8, 2024 | |
Luisa Schwirten, Jannes Scholz, Daniel Kondermann, Janis Keuper | Ambiguous Annotations: When is a Pedestrian not a Pedestrian? | pp. 1-9, 2024 | |
Paul Gavrikov, Jovita Lukasik, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper | Are Vision Language Models Texture or Shape Biased and Can We Steer Them? | pp. 1-27, 2024 | |
Paul Gavrikov, Janis Keuper | Proceedings : 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition : CVPR 2024, pp. 22184-22194, 2024 | ||
Bianca Lamm, Janis Keuper | pp. 1-5, 2024 | ||
Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Janis Keuper | Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 483-492, 2024 | ||
Daniel Ladwig, Bianca Lamm, Janis Keuper | Fine-Grained Product Classification on Leaflet Advertisements | UR-AI2023 : The Upper-Rhine Artificial Intelligence Symposium : Artificial Intelligence for Time Series, Robotics and Beyond, Jean-Philippe Lauffenburger, Jonathan Weber (Eds.), pp. 144-151, 2024 | |
Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper | How Do Training Methods Influence the Utilization of Vision Models? | pp. 1-13, 2024 | |
Klaus Dorer, Janis Keuper (Eds.), 166 S., 2024 | |||
Bianca Lamm, Janis Keuper | Retail-786k: a Large-Scale Dataset for Visual Entity Matching | Data-centric Machine Learning Research (DMLR) Workshop at ICLR 2024, pp. 1-61, 2024 | |
Henrik Pichler, Janis Keuper, Matthew Copping | Semi-supervised mold differentiation using typical laboratory results as label data | Proceedings of the Upper-Rhine Artificial Intelligence Symposium 2024, Janis Keuper, Klaus Dorer (Eds.), pp. 31-40, 2024 | |
Lars Nieradzik, Henrike Stephani, Janis Keuper | Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation | pp. 1-24, 2024 | |
Mario Ruben Fernandez, Norman Ettrich, Matthias Delescluse, Alain Rabaute, Janis Keuper | Fourth International Meeting for Applied Geoscience & Energy, pp. 1958-1962, 2024 | ||
Martin Spitznagel, Janis Keuper | Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of Complex Physical Systems | Data-centric Machine Learning Research (DMLR) Workshop at ICLR 2024, pp. 1-22, 2024 | |
Preprint | |||
Patrick Grommelt, Louis Weiss, Franz-Josef Pfreundt, Janis Keuper | Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets | pp. 1-17, 2024 | |
Zeitschriftenartikel, wissenschaftlich | |||
Ricard Durall Lopez, Ammar Ghanim, Norman Ettrich, Janis Keuper | An in-depth study of U-net for seismic data conditioning: Multiple removal by moveout discrimination | Geophysics, 89(1), pp. WA233-WA246, 2024 | |
Julia Grabinski, Janis Keuper, Margret Keuper | Transactions on Machine Learning Research, pp. 1 [1]-16 [26], 2024 | ||
Lars Nieradzik, Jördis Sieburg-Rockel, Stephanie Helmling, Janis Keuper, Thomas Weibel, Andrea Olbrich, Henrike Stephani | Microscopy and Microanalysis, 30(3), pp. 508-520, 2024 | ||
Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Stephanie Wrage, Janis Keuper | WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images | Forests, 15(11), pp. 1-14, 2024 | |
2023 | |||
Dissertation / Habilitation | |||
Avraam Chatzimichailidis | Alternative optimization methods for training of large deep neural networks | Doctoral thesis, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU), 2023 | |
Konferenzveröffentlichung | |||
Paul Gavrikov, Janis Keuper, Margret Keuper | An Extended Study of Human-like Behavior under Adversarial Training | Proceedings : 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops : CVPRW 2023, pp. 2361-2368, 2023 | |
Ricard Durall Lopez, Ammar Ghanim, Mario Ruben Fernandez, Norman Ettrich, Janis Keuper | 84th EAGE Annual Conference & Exhibition, pp. 1-5, 2023 | ||
Mario Ruben Fernandez, Norman Ettrich, Matthias Delescluse, Alain Rabaute, Janis Keuper | Third EAGE Digitalization Conference and Exhibition, pp. 1-5, 2023 | ||
Daniel Ladwig, Bianca Lamm, Janis Keuper | Fine-Grained Product Classification on Leaflet Advertisements | pp. 1-5, 2023 | |
Paul Gavrikov, Janis Keuper | On the Interplay of Convolutional Padding and Adversarial Robustness | Proceedings : 2023 IEEE/CVF International Conference on Computer Vision Workshops : ICCVW 2023, pp. 3981-3990, 2023 | |
Ralph Isenmann, Janis Keuper | 2 S., 2023 | ||
Mario Ruben Fernandez, Norman Ettrich, Matthias Delescluse, Alain Rabaute, Janis Keuper | 84th EAGE Annual Conference & Exhibition, pp. 1-5, 2023 | ||
Peter Lorenz, Margret Keuper, Janis Keuper | Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection | Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, p. 38, 2023 | |
Preprint | |||
Lars Nieradzik, Jördis Sieburg-Rockel, Stephanie Helmling, Janis Keuper, Thomas Weibel, Andrea Olbrich, Henrike Stephani | pp. 1-17, 2023 | ||
Bianca Lamm, Janis Keuper | Retail-786k: a Large-Scale Dataset for Visual Entity Matching | pp. 1-22, 2023 | |
Paul Gavrikov, Janis Keuper | Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters? | pp. 1-17, 2023 | |
Paul Gavrikov, Janis Keuper | The Power of Linear Combinations: Learning with Random Convolutions | 14, 6 S., 2023 | |
Zeitschriftenartikel, wissenschaftlich | |||
Julia Grabinski, Janis Keuper, Margret Keuper | pp. 1-16, 2023 | ||
Ricard Durall Lopez, Ammar Ghanim, Mario Ruben Fernandez, Norman Ettrich, Janis Keuper | Computers & Geosciences, Vol. 177, pp. 1-11, 2023 | ||
Paul Gavrikov, Janis Keuper | Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers | pp. 1-5, 2023 | |
Julia Grabinski, Janis Keuper, Margret Keuper | Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling | pp. 1-10, 2023 | |
Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper | Improving Native CNN Robustness with Filter Frequency Regularization | Transactions on Machine Learning Research, pp. 1-36, 2023 | |
Janis Keuper | pp. 1-105, 2023 | ||
2022 | |||
Konferenzveröffentlichung | |||
Mario Fernadez, Ricard Durall Lopez, Norman Ettrich, Matthias Delescluse, Alain Rabaute, Janis Keuper | A comparison of deep learning paradigms for seismic data interpolation | Second EAGE Digitalization Conference and Exhibition, pp. 1-5, 2022 | |
Paul Gavrikov, Janis Keuper | Adversarial Robustness through the Lens of Convolutional Filters | Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2022), pp. 138-146, 2022 | |
Julia Grabinski, Janis Keuper, Margret Keuper | Aliasing coincides with CNNs vulnerability towards adversarial attacks | The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, pp. 1-5, 2022 | |
Paul Gavrikov, Janis Keuper | CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters | Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), pp. 19044-19054, 2022 | |
Paul Gavrikov, Janis Keuper | Medical Imaging meets NeurIPS Workshop at NeurIPs 2022, pp. 1-5, 2022 | ||
Kalun Ho, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper | Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space | The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, pp. 1-10, 2022 | |
Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper | FrequencyLowCut Pooling – Plug & Play against Catastrophic Overfitting | ECCV 2022 Papers, pp. 1-23, 2022 | |
Avraam Chatzimichailidis, Arber Zela, Janis Keuper, Yang Yang | GSparsity: Unifying Network Pruning and Neural Architecture Search by Group Sparsity | AutoML Conference 2022 Workshop Track, pp. 1-24, 2022 | |
Mario Fernadez, Ricard Durall Lopez, Norman Ettrich, Matthias Delescluse, Alain Rabaute, Janis Keuper | 83rd EAGE Annual Conference & Exhibition Workshop Programme, pp. 1-5, 2022 | ||
Peter Lorenz, Dominik Strassel, Margret Keuper, Janis Keuper | Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? | The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, pp. 1-7, 2022 | |
Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper | Proceedings of Conference on Neural Information Processing Systems 2022, 17, 11 S., 2022 | ||
Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper | ICML 2022 Workshop on Adversarial Machine Learning, pp. 1-17, 2022 | ||
Alexander Melde, Manav Madan, Paul Gavrikov, David Hoof, Astrid Laubenheimer, Janis Keuper, Christoph Reich | Tackling Key Challenges of AI Development – Insights from an Industry-Academia Collaboration | The Upper-Rhine Artificial Intelligence Symposium (UR-AI 2022) : AI Applications in Medicine and Manufacturing, Christoph Reich, Ulrich Mescheder (Eds.), pp. 112-121, 2022 | |
Preprint | |||
Peter Lorenz, Margret Keuper, Janis Keuper | Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection | 12 S., 2022 | |
Zeitschriftenartikel, wissenschaftlich | |||
Julia Grabinski, Janis Keuper, Margret Keuper | Machine Learning, 111(11), pp. 3925-3951, 2022 | ||
Paula Harder, Duncan Watson-Paris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper | Environmental Data Science, Vol. 1, pp. 1-8, 2022 | ||
2021 | |||
Forschungsbericht | |||
Febin Sebastian Elayanithottathil, Janis Keuper | 2021 | ||
Janis Keuper | 2021 | ||
Konferenzveröffentlichung | |||
Kalun Ho, Amirhossein Kardoost, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper | A Two-Stage Minimum Cost Multicut Approach to Self-Supervised Multiple Person Tracking | ACCV 2020: Computer Vision – ACCV 2020, pp. 539-557, 2021 | |
Paul Gavrikov, Janis Keuper | An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters | Workshop on Distribution Shifts: Connecting Methods and Applications, pp. 1-11, 2021 | |
Ricard Durall Lopez, Avraam Chatzimichailidis, Peter Labus, Janis Keuper | Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues | Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Giovanni Maria Farinella, Petia Radeva, Jose Braz, Kadi Bouatouch (Eds.), pp. 211-218, 2021 | |
Ricard Durall Lopez, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper | Combining Transformer Generators with Convolutional Discriminators | KI 2021: Advances in Artificial Intelligence, Stefan Edelkamp, Ralf Möller, Elmar Rueckert (Eds.), pp. 67-79, 2021 | |
Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper | [ICML 2021 Workshop], pp. 1-7, 2021 | ||
Ricard Durall Lopez, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper | FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces | [32nd British Machine Vision Conference], pp. 1-14, 2021 | |
Avraam Chatzimichailidis, Arber Zela, Shalini Shalini, Peter Labus, Janis Keuper, Frank Hutter, Yang Yang | Group Sparsity: A Unified Framework for Network Pruning and Neural Architecture Search | CVPR2021-NAS: Computer Society Conference on Computer Vision and Pattern Recognition : Workshop on Neural Architecture Search, pp. 1-4, 2021 | |
Ricard Durall Lopez, Janis Keuper | [35th Conference on Neural Information Processing Systems], pp. 1-8, 2021 | ||
Ricard Durall Lopez, Kalun Ho, Franz-Josef Pfreundt, Janis Keuper | Latent Space Conditioning on Generative Adversarial Networks | Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Giovanni Maria Farinella, Petia Radeva, Jose Braz, Kadi Bouatouch (Eds.), pp. 24-34, 2021 | |
Kalun Ho, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper | Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches | Proceedings of ICPR 2020 : 25th International Conference on Pattern Recognition, pp. 87-94, 2021 | |
Ricard Durall Lopez, Franz-Josef Pfreundt, Janis Keuper | Proceedings of ICPR 2020 : 25th International Conference on Pattern Recognition : Milan, 10 – 15 January 2021, pp. 95-102, 2021 | ||
Kalun Ho, Avraam Chatzimichailidis, Margret Keuper, Janis Keuper | High Performance Computing, Heike Jagode, Hartwig Anzt, Hatem Ltaief, Piotr Luszczek (Eds.), pp. 267-284, 2021 | ||
Sebastian Hoch, Sascha Lange, Janis Keuper | Sample efficient localization and stage prediction with autoencoders | ESANN 2021 proceedings, pp. 71-76, 2021 | |
Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper | SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain | IJCNN 2021. The International Joint Conference on Neural Networks : 2021 Conference Proceedings, pp. 1-8, 2021 | |
Ricard Durall Lopez, Franz-Josef Pfreundt, Janis Keuper | Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Giovanni Maria Farinella, Petia Radeva, Jose Braz, Kadi Bouatouch (Eds.), pp. 15-23, 2021 | ||
Preprint | |||
Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper | pp. 1-7, 2021 | ||
Zeitschriftenartikel, wissenschaftlich | |||
Ricard Durall Lopez, Valentin Tschannen, Norman Ettrich, Janis Keuper | Generative models for the transfer of knowledge in seismic interpretation with deep learning | The Leading Edge, 40(7), pp. 534-542, 2021 | |
2020 | |||
Konferenzveröffentlichung | |||
Janis Keuper, Dominik Straßel, Philipp Reusch | Proceedings of PYHPC 2020: 9th Workshop on Python for High-Performance and Scientific Computing, pp. 32-40, 2020 | ||
Janis Keuper, Philipp Rombach | High Performance Computing, Heike Jagode, Hartwig Anzt, Guido Juckeland, Hatem Ltaief (Eds.), pp. 235-246, 2020 | ||
Janis Keuper, Valentin Tschannen, Ricard Durall Lopez, Franz-Josef Pfreundt | Synthesizing seismic diffractions using a generative adversarial network | SEG Technical Program Expanded Abstracts 2020, pp. 1491-1495, 2020 | |
Ricard Durall Lopez, Margret Keuper, Janis Keuper | Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7887-7896, 2020 | ||
Preprint | |||
Ricard Durall Lopez, Avraam Chatzimichailidis, Peter Labus, Janis Keuper | Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues | 9 S., 2020 | |
Ricard Durall Lopez, Kalun Ho, Franz-Josef Pfreundt, Janis Keuper | Latent Space Conditioning on Generative Adversarial Networks | 12 S., 2020 | |
Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper | Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches | 8 S., 2020 | |
Ricard Durall Lopez, Franz-Josef Pfreundt, Janis Keuper | 8 S., 2020 | ||
Zeitschriftenartikel, wissenschaftlich | |||
Janis Keuper, Valentin Tschannen, Norman Ettrich, Matthias Delescluse | Detection of point scatterers using diffraction imaging and deep learning | Geophysical Prospecting, 68(3), pp. 830-844, 2020 | |
Janis Keuper, Valentin Tschannen, Norman Ettrich, Matthias Delescluse | Extracting horizon surfaces from 3D seismic data using deep learning | Geophysics, 85(3), pp. 17-26, 2020 | |
Peter Michael Habelitz, Janis Keuper | 5 S., 2020 | ||
Janis Keuper, Kalun Ho, Margret Keuper | Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts | 9 S., 2020 | |
2019 | |||
Konferenzveröffentlichung | |||
Avraam Chatzimichailidis, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper | Proceedings of MLHPC 2019: 5th Workshop on Machine Learning in HPC Environments, pp. 66-74, 2019 | ||
Ricard Durall Lopez, Franz-Josef Pfreundt, Janis Keuper | DAGM GCPR 2019: Pattern Recognition, pp. 303-316, 2019 | ||
Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper | Scalable Hyperparameter Optimization with Lazy Gaussian Processes | Proceedings of MLHPC 2019: 5th Workshop on Machine Learning in HPC Environments, pp. 56-65, 2019 | |
Preprint | |||
Ricard Durall Lopez, Franz-Josef Pfreundt, Janis Keuper | 8 S., 2019 | ||
Zeitschriftenartikel, wissenschaftlich | |||
Ricard Durall Lopez, Franz-Josef Pfreundt, Janis Keuper | 9 S., 2019 | ||
Ricard Durall Lopez, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper | 8 S., 2019 | ||