Federico Raue

According to our database, Federico Raue authored at least 43 papers between 2015 and 2024.

Collaborative distances:

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

2024

FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data.

Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel

CoRR, 2024

Federated Learning for Blind Image Super-Resolution.

Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel

CoRR, 2024

Latent Dataset Distillation with Diffusion Models.

Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel

CoRR, 2024

Diffusion Models, Image Super-Resolution And Everything: A Survey.

Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel

CoRR, 2024

SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation.

Christiano Couto Gava, Yunmin Cho, Federico Raue, Sebastian Palacio, Alain Pagani, Andreas Dengel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2024

A Study in Dataset Pruning for Image Super-Resolution.

Brian B. Moser, Federico Raue, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection.

Dayananda Herurkar, Federico Raue, Andreas Dengel

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.

Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

CoRR, 2023

Cross-Domain Transformation for Outlier Detection on Tabular Datasets.

Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2023

Sequential Spatial Transformer Networks for Salient Object Classification.

David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

DWA: Differential Wavelet Amplifier for Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images.

Christiano Couto Gava, Vishal Mukunda, Tewodros Habtegebrial, Federico Raue, Sebastian Palacio, Andreas Dengel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self-supervised Test-time Adaptation on Video Data.

Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Audioclip: Extending Clip to Image, Text and Audio.

Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the IEEE International Conference on Acoustics, 2022

Less is More: Proxy Datasets in NAS approaches.

Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Adversarial text-to-image synthesis: A review.

Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel

Neural Networks, 2021

Spatial Transformer Networks for Curriculum Learning.

Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel

CoRR, 2021

Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching.

Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel

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

ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs.

Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2021

ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio.

Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2021

Rethinking RNN-Based Video Object Segmentation.

Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021

AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style.

Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

Hybrid Sequence to Sequence Model for Video Object Segmentation.

Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel

CoRR, 2020

P ≈ NP, at least in Visual Question Answering.

Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel

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

ESResNet: Environmental Sound Classification Based on Visual Domain Models.

Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel

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

Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory.

Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel

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

DartsReNet: Exploring New RNN Cells in ReNet Architectures.

Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Fusion Strategies for Learning User Embeddings with Neural Networks.

Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2019

Comparison Between U-Net and U-ReNet Models in OCR Tasks.

Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Conditional GANs for Image Captioning with Sentiments.

Tushar Karayil, Asif Irfan, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

A Reinforcement Learning Approach for Sequential Spatial Transformer Networks.

Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

Association Learning inspired by the Symbol Grounding Problem.

Federico Raue

PhD thesis, 2018

Symbol Grounding Association in Multimodal Sequences with Missing Elements.

Federico Raue, Andreas Dengel, Thomas M. Breuel, Marcus Liwicki

J. Artif. Intell. Res., 2018

Reading Type Classification based on Generative Models and Bidirectional Long Short-Term Memory.

Seyyed Saleh Mozaffari Chanijani, Federico Raue, Saeid Dashti Hassanzadeh, Stefan Agne, Syed Saqib Bukhari, Andreas Dengel

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

What Do Deep Networks Like to See?

Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Classless Association Using Neural Networks.

Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Symbolic Association Using Parallel Multilayer Perceptron.

Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks.

Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki

Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

Parallel sequence classification using recurrent neural networks and alignment.

Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Scene labeling with LSTM recurrent neural networks.

Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015