| Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions R Durall, M Keuper, J Keuper Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 346 | 2020 |
| Unmasking deepfakes with simple features R Durall, M Keuper, FJ Pfreundt, J Keuper arXiv preprint arXiv:1911.00686, 2019 | 264 | 2019 |
| Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues R Durall, A Chatzimichailidis, P Labus, J Keuper Proceedings of the 16th International Joint Conference on Computer Vision …, 2020 | 55 | 2020 |
| Deep diffusion models for seismic processing R Durall, A Ghanim, MR Fernandez, N Ettrich, J Keuper Computers & Geosciences 177, 105377, 2023 | 34 | 2023 |
| Detecting images generated by deep diffusion models using their local intrinsic dimensionality P Lorenz, RL Durall, J Keuper Proceedings of the IEEE/CVF International Conference on Computer Vision, 448-459, 2023 | 25 | 2023 |
| Pyramid pooling of convolutional feature maps for image retrieval A Jose, RD Lopez, I Heisterklaus, M Wien 2018 25th IEEE International Conference on Image Processing (ICIP), 480-484, 2018 | 18 | 2018 |
| Combining Transformer Generators with Convolutional Discriminators R Durall, S Frolov, A Dengel, J Keuper Proceedings of the 44th German Conference on Artificial Intelligence‚ KI …, 2021 | 14 | 2021 |
| Asset allocation: From markowitz to deep reinforcement learning R Durall arXiv preprint arXiv:2208.07158, 2022 | 8 | 2022 |
| Generative models for the transfer of knowledge in seismic interpretation with deep learning R Durall, V Tschannen, N Ettrich, J Keuper The Leading Edge 40 (7), 534-542, 2021 | 8 | 2021 |
| FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces R Durall, J Jam, D Strassel, MH Yap, J Keuper British Machine Vision Conference (BMVC), 2021 | 8 | 2021 |
| Stabilizing GANs with Soft Octave Convolutions R Durall, FJ Pfreundt, J Keuper Proceedings of the 16th International Joint Conference on Computer Vision …, 2019 | 8* | 2019 |
| An in-depth study of U-net for seismic data conditioning: Multiple removal by moveout discrimination R Durall, A Ghanim, N Ettrich, J Keuper Geophysics 89 (1), WA233-WA246, 2024 | 7* | 2024 |
| Synthesizing seismic diffractions using a generative adversarial network R Durall, V Tschannen, FJ Pfreundt, J Keuper SEG technical program expanded abstracts 2020, 1491-1495, 2020 | 7 | 2020 |
| Local facial attribute transfer through inpainting R Durall, FJ Pfreundt, J Keuper 2020 25th International Conference on Pattern Recognition (ICPR), 2020 | 4 | 2020 |
| Image-to-image Seismic Interpolation M Fernandez, R Durall, N Ettrich, M Delescluse, A Rabaute, J Keuper 83rd EAGE Annual Conference & Exhibition Workshop Programme 2022 (1), 1-5, 2022 | 3 | 2022 |
| Semi few-shot attribute translation R Durall, FJ Pfreundt, J Keuper 2019 International Conference on Image and Vision Computing New Zealand …, 2019 | 3 | 2019 |
| Object segmentation using pixel-wise adversarial loss R Durall, FJ Pfreundt, U Köthe, J Keuper Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019 | 2 | 2019 |
| U-net based primary alignment R Durall, A Ghanim, N Ettrich Third International Meeting for Applied Geoscience & Energy, 1500-1504, 2023 | 1 | 2023 |
| Latent Space Conditioning on Generative Adversarial Networks R Durall, K Ho, FJ Pfreundt, J Keuper Proceedings of the 16th International Joint Conference on Computer Vision …, 2020 | 1 | 2020 |
| Introducing User-Control in Deep Learning Seismic Gather Conditioning for Quantitative Interpretation A Ghanim, R Durall, N Ettrich 85th EAGE Annual Conference & Exhibition (including the Workshop Programme …, 2024 | | 2024 |
Janis KeuperInstitute for Machine Learning and Analytics (IMLA), Offenburg University, GermanyVerified email at hs-offenburg.de
