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Ricard Durall
Ricard Durall
Verified email at itwm.fraunhofer.de - Homepage
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
1252020
Unmasking deepfakes with simple features
R Durall, M Keuper, FJ Pfreundt, J Keuper
arXiv preprint arXiv:1911.00686, 2019
1052019
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
152020
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
112018
Stabilizing gans with octave convolutions
R Durall, FJ Pfreundt, J Keuper
Proceedings of the 16th International Joint Conference on Computer Vision …, 2019
62019
Local facial attribute transfer through inpainting
R Durall, FJ Pfreundt, J Keuper
2020 25th International Conference on Pattern Recognition (ICPR), 2020
42020
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
32021
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
32020
Object segmentation using pixel-wise adversarial loss
R Durall, FJ Pfreundt, U Köthe, J Keuper
German Conference on Pattern Recognition, 303-316, 2019
32019
Semi few-shot attribute translation
R Durall, FJ Pfreundt, J Keuper
2019 International Conference on Image and Vision Computing New Zealand …, 2019
22019
Dissecting u-net for seismic application: An in-depth study on deep learning multiple removal
R Durall, A Ghanim, N Ettrich, J Keuper
arXiv preprint arXiv:2206.12112, 2022
12022
A comparison of deep learning paradigms for seismic data interpolation
M Fernandez, R Durall, N Ettrich, M Delescluse, A Rabaute, J Keuper
Second EAGE Digitalization Conference and Exhibition 2022 (1), 1-5, 2022
12022
Deep Diffusion Models for Seismic Processing
R Durall, A Ghanim, M Fernandez, N Ettrich, J Keuper
arXiv preprint arXiv:2207.10451, 2022
2022
Asset Allocation: From Markowitz to Deep Reinforcement Learning
R Durall
Available at SSRN 4148379, 2022
2022
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
2022
Investigating Shifts in GAN Output-Distributions
R Durall, J Keuper
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
2021
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
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
2021
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
2020
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