Federico Raue

76 papers A* 2A 5B 9C 1Misc 2Journal 40Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors.
Trans. Mach. Learn. Res.
Brian Bernhard Moser, Shalini Sarode, Federico Raue, Stanislav Frolov, Krzysztof Adamkiewicz, Arundhati S. Shanbhag, Joachim Folz, Tobias Christian Nauen, Andreas Dengel
2026 J jnl
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators.
CoRR
Krzysztof Adamkiewicz, Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel
2025 J jnl
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances.
CoRR
Brian B. Moser, Arundhati S. Shanbhag, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel
2025 J jnl
A Study in Dataset Distillation for Image Super-Resolution.
CoRR
Tobias Dietz, Brian B. Moser, Tobias Christian Nauen, Federico Raue, Stanislav Frolov, Andreas Dengel
2025 J jnl
Diffusion Models, Image Super-Resolution, and Everything: A Survey.
IEEE Trans. Neural Networks Learn. Syst.
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
2025 B conf
Distill the Best, Ignore the Rest: A Study in Latent Dataset Distillation on Core-Sets.
IJCNN
Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel
2025 A conf
Dynamic Attention-Guided Diffusion for Image Super-Resolution.
WACV
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2025 J jnl
ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation.
CoRR
Tobias Christian Nauen, Brian B. Moser, Federico Raue, Stanislav Frolov, Andreas Dengel
2025 J jnl
HyperCore: Coreset Selection under Noise via Hypersphere Models.
CoRR
Brian B. Moser, Arundhati S. Shanbhag, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel
2025 J jnl
PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors.
CoRR
Brian B. Moser, Shalini Sarode, Federico Raue, Stanislav Frolov, Krzysztof Adamkiewicz, Arundhati S. Shanbhag, Joachim Folz, Tobias Christian Nauen, Andreas Dengel
2025 J jnl
SubZeroCore: A Submodular Approach with Zero Training for Coreset Selection.
CoRR
Brian B. Moser, Tobias Christian Nauen, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Joachim Folz, Andreas Dengel
2025 A conf
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers.
WACV
Tobias Christian Nauen, Sebastian Palacio, Federico Raue, Andreas Dengel
2024 J jnl
A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift.
CoRR
Sanath Budakegowdanadoddi Nagaraju, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel
2024 — conf
A Study in Dataset Pruning for Image Super-Resolution.
ICANN (2)
Brian B. Moser, Federico Raue, Andreas Dengel
2024 J jnl
A Study in Dataset Pruning for Image Super-Resolution.
CoRR
Brian B. Moser, Federico Raue, Andreas Dengel
2024 J jnl
Diffusion Models, Image Super-Resolution And Everything: A Survey.
CoRR
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
2024 J jnl
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning.
CoRR
Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel
2024 J jnl
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data.
CoRR
Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel
2024 J jnl
Federated Learning for Blind Image Super-Resolution.
CoRR
Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel
2024 J jnl
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning.
CoRR
Arundhati S. Shanbhag, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel
2024 J jnl
Latent Dataset Distillation with Diffusion Models.
CoRR
Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel
2024 A conf
SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation.
WACV
Christiano Couto Gava, Yunmin Cho, Federico Raue, Sebastian Palacio, Alain Pagani, Andreas Dengel
2024 — conf
Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection.
ICAIF
Dayananda Herurkar, Federico Raue, Andreas Dengel
2024 B conf
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.
IJCNN
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2024 J jnl
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel
2023 B conf
Cross-Domain Transformation for Outlier Detection on Tabular Datasets.
IJCNN
Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel
2023 — conf
DWA: Differential Wavelet Amplifier for Image Super-Resolution.
ICANN (2)
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
DWA: Differential Wavelet Amplifier for Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
DartsReNet: Exploring new RNN cells in ReNet architectures.
CoRR
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2023 J jnl
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.
IEEE Trans. Pattern Anal. Mach. Intell.
Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel
2023 C conf
Sequential Spatial Transformer Networks for Salient Object Classification.
ICPRAM
David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel
2023 — conf
SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images.
CVPR Workshops
Christiano Couto Gava, Vishal Mukunda, Tewodros Habtegebrial, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2022 Misc conf
Audioclip: Extending Clip to Image, Text and Audio.
ICASSP
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2022 J jnl
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.
CoRR
Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel
2022 — conf
Less is More: Proxy Datasets in NAS approaches.
CVPR Workshops
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2022 J jnl
Less is More: Proxy Datasets in NAS approaches.
CoRR
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2022 A conf
Self-supervised Test-time Adaptation on Video Data.
WACV
Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel
2021 J jnl
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks.
CoRR
Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel
2021 B conf
ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs.
IJCNN
Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jörn Hees, Andreas Dengel
2021 J jnl
Adversarial Text-to-Image Synthesis: A Review.
CoRR
Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
2021 J jnl
Adversarial text-to-image synthesis: A review.
Neural Networks
Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
2021 — conf
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style.
GCPR
Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
2021 J jnl
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style.
CoRR
Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
2021 J jnl
AudioCLIP: Extending CLIP to Image, Text and Audio.
CoRR
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2021 Misc conf
Combining Transformer Generators with Convolutional Discriminators.
KI
Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper
2021 B conf
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio.
IJCNN
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2021 J jnl
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio.
CoRR
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2021 — conf
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching.
VISIGRAPP (4: VISAPP)
Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
2021 — conf
Rethinking RNN-Based Video Object Segmentation.
VISIGRAPP (Revised Selected Papers)
Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel
2021 J jnl
Spatial Transformer Networks for Curriculum Learning.
CoRR
Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2020 — conf
DartsReNet: Exploring New RNN Cells in ReNet Architectures.
ICANN (1)
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2020 B conf
ESResNet: Environmental Sound Classification Based on Visual Domain Models.
ICPR
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2020 J jnl
ESResNet: Environmental Sound Classification Based on Visual Domain Models.
CoRR
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2020 J jnl
Hybrid Sequence to Sequence Model for Video Object Segmentation.
CoRR
Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
2020 B conf
P ≈ NP, at least in Visual Question Answering.
ICPR
Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
2020 J jnl
P ≈ NP, at least in Visual Question Answering.
CoRR
Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
2020 B conf
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory.
ICPR
Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2020 J jnl
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory.
CoRR
Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2019 — conf
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks.
ICANN (1)
Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel
2019 — conf
Comparison Between U-Net and U-ReNet Models in OCR Tasks.
ICANN (3)
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2019 — conf
Conditional GANs for Image Captioning with Sentiments.
ICANN (4)
Tushar Karayil, Asif Irfan, Federico Raue, Jörn Hees, Andreas Dengel
2019 B conf
Fusion Strategies for Learning User Embeddings with Neural Networks.
IJCNN
Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel
2019 J jnl
Fusion Strategies for Learning User Embeddings with Neural Networks.
CoRR
Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel
2018 — —
Association Learning inspired by the Symbol Grounding Problem.
Federico Raue
2018 — conf
Reading Type Classification based on Generative Models and Bidirectional Long Short-Term Memory.
IUI Workshops
Seyyed Saleh Mozaffari Chanijani, Federico Raue, Saeid Dashti Hassanzadeh, Stefan Agne, Syed Saqib Bukhari, Andreas Dengel
2018 J jnl
Symbol Grounding Association in Multimodal Sequences with Missing Elements.
J. Artif. Intell. Res.
Federico Raue, Andreas Dengel, Thomas M. Breuel, Marcus Liwicki
2018 A* conf
What Do Deep Networks Like to See?
CVPR
Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
2018 J jnl
What do Deep Networks Like to See?
CoRR
Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
2017 — conf
Classless Association Using Neural Networks.
ICANN (2)
Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki
2016 — conf
Symbolic Association Using Parallel Multilayer Perceptron.
ICANN (2)
Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki
2015 A conf
Parallel sequence classification using recurrent neural networks and alignment.
ICDAR
Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki
2015 A* conf
Scene labeling with LSTM recurrent neural networks.
CVPR
Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki
2015 J jnl
Symbol Grounding Association in Multimodal Sequences with Missing Elements.
CoRR
Federico Raue, Thomas M. Breuel, Andreas Dengel, Marcus Liwicki
2015 — conf
Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks.
CoCo@NIPS
Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki