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Ricard Durall
Ricard Durall
The Tean
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Title
Cited by
Cited by
Year
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
3692020
Unmasking deepfakes with simple features
R Durall, M Keuper, FJ Pfreundt, J Keuper
arXiv preprint arXiv:1911.00686, 2019
2792019
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
562020
Deep diffusion models for seismic processing
R Durall, A Ghanim, MR Fernandez, N Ettrich, J Keuper
Computers & Geosciences 177, 105377, 2023
372023
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
312023
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
192018
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
162021
Asset allocation: From markowitz to deep reinforcement learning
R Durall
arXiv preprint arXiv:2208.07158, 2022
122022
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
92021
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
82021
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
72020
Local facial attribute transfer through inpainting
R Durall, FJ Pfreundt, J Keuper
2020 25th International Conference on Pattern Recognition (ICPR), 2020
42020
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
32022
Semi few-shot attribute translation
R Durall, FJ Pfreundt, J Keuper
2019 International Conference on Image and Vision Computing New Zealand …, 2019
32019
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
22019
Adversarial Examples are Misaligned in Diffusion Model Manifolds
P Lorenz, R Durall, J Keuper
2024 International Joint Conference on Neural Networks (IJCNN) Proceedings, 2024
12024
U-net based primary alignment
R Durall, A Ghanim, N Ettrich
Third International Meeting for Applied Geoscience & Energy, 1500-1504, 2023
12023
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
12020
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