Ricard Durall

Orcid: 0000-0002-1471-7980

According to our database1, Ricard Durall authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds.
CoRR, 2024

2023
Deep diffusion models for seismic processing.
Comput. Geosci., August, 2023

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep Generative Models for Image-to-Image Translation.
PhD thesis, 2022

Asset Allocation: From Markowitz to Deep Reinforcement Learning.
CoRR, 2022

Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal.
CoRR, 2022

2021
Investigating Shifts in GAN Output-Distributions.
CoRR, 2021

Combining Transformer Generators with Convolutional Discriminators.
CoRR, 2021

Stabilizing GANs with Soft Octave Convolutions.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Latent Space Conditioning on Generative Adversarial Networks.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Combating Mode Collapse in GAN Training: An Empirical Analysis using Hessian Eigenvalues.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Combining Transformer Generators with Convolutional Discriminators.
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.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Local Facial Attribute Transfer through Inpainting.
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.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Unmasking DeepFakes with simple Features.
CoRR, 2019

Stabilizing GANs with Octave Convolutions.
CoRR, 2019

Semi Few-Shot Attribute Translation.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Object Segmentation Using Pixel-Wise Adversarial Loss.
Proceedings of the Pattern Recognition, 2019

2018
Pyramid Pooling of Convolutional Feature Maps for Image Retrieval.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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