Federico Raue

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 50

Top Venues

CoRR

IJCNN

ICPR

ICANN (2)

Kaiserslautern University of Technology, Germany (PHD)

Education History

Kaiserslautern University of Technology, Germany

PHD

Publications

Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel
Federated Learning for Blind Image Super-Resolution. CoRR (2024)
Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel
Latent Dataset Distillation with Diffusion Models. CoRR (2024)
Christiano Couto Gava, Yunmin Cho, Federico Raue, Sebastian Palacio, Alain Pagani, Andreas Dengel
SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation. WACV (2024)
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
Diffusion Models, Image Super-Resolution And Everything: A Survey. CoRR (2024)
Brian B. Moser, Federico Raue, Andreas Dengel
A Study in Dataset Pruning for Image Super-Resolution. CoRR (2024)
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
DWA: Differential Wavelet Amplifier for Image Super-Resolution. CoRR (2023)
Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel
Cross-Domain Transformation for Outlier Detection on Tabular Datasets. IJCNN (2023)
David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel
Sequential Spatial Transformer Networks for Salient Object Classification. ICPRAM (2023)
Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution. CoRR (2023)
Christiano Couto Gava, Vishal Mukunda, Tewodros Habtegebrial, Federico Raue, Sebastian Palacio, Andreas Dengel
SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images. CVPR Workshops (2023)
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. CoRR (2023)
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
DartsReNet: Exploring new RNN cells in ReNet architectures. CoRR (2023)
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
Audioclip: Extending Clip to Image, Text and Audio. ICASSP (2022)
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
Less is More: Proxy Datasets in NAS approaches. CVPR Workshops (2022)
Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel
Self-supervised Test-time Adaptation on Video Data. WACV (2022)
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
Less is More: Proxy Datasets in NAS approaches. CoRR (2022)
Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. CoRR (2022)
Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. CoRR (2021)
Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jörn Hees, Andreas Dengel
ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. IJCNN (2021)
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. IJCNN (2021)
Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. GCPR (2021)
Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. CoRR (2021)
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
AudioCLIP: Extending CLIP to Image, Text and Audio. CoRR (2021)
Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
Spatial Transformer Networks for Curriculum Learning. CoRR (2021)
Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel
Rethinking RNN-Based Video Object Segmentation. VISIGRAPP (Revised Selected Papers) (2021)
Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper
Combining Transformer Generators with Convolutional Discriminators. KI (2021)
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. CoRR (2021)
Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching. VISIGRAPP (4: VISAPP) (2021)
Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
Adversarial Text-to-Image Synthesis: A Review. CoRR (2021)
Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
Adversarial text-to-image synthesis: A review. Neural Networks 144 (2021)
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
ESResNet: Environmental Sound Classification Based on Visual Domain Models. CoRR (2020)
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
DartsReNet: Exploring New RNN Cells in ReNet Architectures. ICANN (1) (2020)
Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
P ≈ NP, at least in Visual Question Answering. ICPR (2020)
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
ESResNet: Environmental Sound Classification Based on Visual Domain Models. ICPR (2020)
Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. CoRR (2020)
Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. ICPR (2020)
Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
Hybrid Sequence to Sequence Model for Video Object Segmentation. CoRR (2020)
Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
P ≈ NP, at least in Visual Question Answering. CoRR (2020)
Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. ICANN (1) (2019)
Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel
Fusion Strategies for Learning User Embeddings with Neural Networks. CoRR (2019)
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
Comparison Between U-Net and U-ReNet Models in OCR Tasks. ICANN (3) (2019)
Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel
Fusion Strategies for Learning User Embeddings with Neural Networks. IJCNN (2019)
Tushar Karayil, Asif Irfan, Federico Raue, Jörn Hees, Andreas Dengel
Conditional GANs for Image Captioning with Sentiments. ICANN (4) (2019)
Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
What do Deep Networks Like to See? CoRR (2018)
Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
What Do Deep Networks Like to See? CVPR (2018)
Seyyed Saleh Mozaffari Chanijani, Federico Raue, Saeid Dashti Hassanzadeh, Stefan Agne, Syed Saqib Bukhari, Andreas Dengel
Reading Type Classification based on Generative Models and Bidirectional Long Short-Term Memory. IUI Workshops (2018)
Federico Raue, Andreas Dengel, Thomas M. Breuel, Marcus Liwicki
Symbol Grounding Association in Multimodal Sequences with Missing Elements. J. Artif. Intell. Res. 61 (2018)
Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki
Classless Association Using Neural Networks. ICANN (2) (2017)
Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki
Symbolic Association Using Parallel Multilayer Perceptron. ICANN (2) (2016)
Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki
Scene labeling with LSTM recurrent neural networks. CVPR (2015)
Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki
Parallel sequence classification using recurrent neural networks and alignment. ICDAR (2015)
Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki
Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks. CoCo@NIPS (2015)
Federico Raue, Thomas M. Breuel, Andreas Dengel, Marcus Liwicki
Symbol Grounding Association in Multimodal Sequences with Missing Elements. CoRR (2015)

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Publication Activity (10 Years)

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Federico Raue