Ricard Durall

According to our database, Ricard Durall authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

BOSC: A toolbox for aerial imagery mapping.

Ricard Durall, Laura Montilla, Esteban Durall

CoRR, 2024

Adversarial Examples are Misaligned in Diffusion Model Manifolds.

Peter Lorenz, Ricard Durall, Janis Keuper

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Deep diffusion models for seismic processing.

Ricard Durall, Ammar Ghanim, Mario Ruben Fernandez, Norman Ettrich, Janis Keuper

Comput. Geosci., August, 2023

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality.

Peter Lorenz, Ricard L. Durall, Janis Keuper

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep Generative Models for Image-to-Image Translation.

Ricard Durall

PhD thesis, 2022

Asset Allocation: From Markowitz to Deep Reinforcement Learning.

Ricard Durall

CoRR, 2022

Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal.

Ricard Durall, Ammar Ghanim, Norman Ettrich, Janis Keuper

CoRR, 2022

2021

Investigating Shifts in GAN Output-Distributions.

Ricard Durall, Janis Keuper

CoRR, 2021

Combining Transformer Generators with Convolutional Discriminators.

Ricard Durall, Stanislav Frolov, Andreas Dengel, Janis Keuper

CoRR, 2021

Stabilizing GANs with Soft Octave Convolutions.

Ricard Durall, Franz-Josef Pfreundt, Janis Keuper

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Latent Space Conditioning on Generative Adversarial Networks.

Ricard Durall, Kalun Ho, Franz-Josef Pfreundt, Janis Keuper

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Combating Mode Collapse in GAN Training: An Empirical Analysis using Hessian Eigenvalues.

Ricard Durall, Avraam Chatzimichailidis, Peter Labus, Janis Keuper

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Combining Transformer Generators with Convolutional Discriminators.

Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces.

Ricard Durall Lopez, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Local Facial Attribute Transfer through Inpainting.

Ricard Durall, Franz-Josef Pfreundt, Janis Keuper

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions.

Ricard Durall, Margret Keuper, Janis Keuper

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Unmasking DeepFakes with simple Features.

Ricard Durall, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper

CoRR, 2019

Stabilizing GANs with Octave Convolutions.

Ricard Durall, Franz-Josef Pfreundt, Janis Keuper

CoRR, 2019

Semi Few-Shot Attribute Translation.

Ricard Durall, Franz-Josef Pfreundt, Janis Keuper

Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Object Segmentation Using Pixel-Wise Adversarial Loss.

Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper

Proceedings of the Pattern Recognition, 2019

2018

Pyramid Pooling of Convolutional Feature Maps for Image Retrieval.

Abin Jose, Ricard Durall Lopez, Iris Heisterklaus, Mathias Wien

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018