Federico Raue
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
11
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | A Study in Dataset Distillation for Image Super-Resolution. | Tobias Dietz, Brian B. Moser, Tobias Christian Nauen, Federico Raue, Stanislav Frolov, Andreas Dengel |
| 2026 | ICPR | HyperCore: Coreset Selection Under Noise via Hypersphere Models. | Brian B. Moser, Arundhati S. Shanbhag, Tobias Nauen, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel |
| 2026 | ICPR | A Low-Resolution Image is Worth 1 ˟ 1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift. | Sanath Budakegowdanadoddi Nagaraju, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel |
| 2025 | ICIP | When 512512 is Not Enough: Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution. | Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel |
| 2025 | IJCNN | Distill the Best, Ignore the Rest: A Study in Latent Dataset Distillation on Core-Sets. | Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel |
| 2025 | WACV | Dynamic Attention-Guided Diffusion for Image Super-Resolution. | Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel |
| 2025 | WACV | Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers. | Tobias Christian Nauen, Sebastian Palacio, Federico Raue, Andreas Dengel |
| 2024 | ICANN | A Study in Dataset Pruning for Image Super-Resolution. | Brian B. Moser, Federico Raue, Andreas Dengel |
| 2024 | IJCNN | Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. | Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel |
| 2024 | WACV | 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 |
| 2023 | CVPR | SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images. | Christiano Couto Gava, Vishal Mukunda, Tewodros Habtegebrial, Federico Raue, Sebastian Palacio, Andreas Dengel |
| 2023 | ICANN | DWA: Differential Wavelet Amplifier for Image Super-Resolution. | Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel |
| 2023 | IJCNN | Cross-Domain Transformation for Outlier Detection on Tabular Datasets. | Dayananda Herurkar, Timur Sattarov, Jrn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel |
| 2023 | ICPRAM | Sequential Spatial Transformer Networks for Salient Object Classification. | David Dembinsky, Fatemeh Azimi, Federico Raue, Jrn Hees, Sebastian Palacio, Andreas Dengel |
| 2022 | CVPR | Less is More: Proxy Datasets in NAS approaches. | Brian B. Moser, Federico Raue, Jrn Hees, Andreas Dengel |
| 2022 | ICASSP | Audioclip: Extending Clip to Image, Text and Audio. | Andrey Guzhov, Federico Raue, Jrn Hees, Andreas Dengel |
| 2022 | WACV | Self-supervised Test-time Adaptation on Video Data. | Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jrn Hees, Luca Bertinetto, Andreas Dengel |
| 2021 | IJCNN | ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. | Andrey Guzhov, Federico Raue, Jrn Hees, Andreas Dengel |
| 2021 | IJCNN | ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. | Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jrn Hees, Andreas Dengel |
| 2021 | KI | Combining Transformer Generators with Convolutional Discriminators. | Ricard Durall, Stanislav Frolov, Jrn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper |
| 2020 | ICANN | DartsReNet: Exploring New RNN Cells in ReNet Architectures. | Brian B. Moser, Federico Raue, Jrn Hees, Andreas Dengel |
| 2020 | ICPR | Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. | Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jrn Hees, Andreas Dengel |
| 2020 | ICPR | ESResNet: Environmental Sound Classification Based on Visual Domain Models. | Andrey Guzhov, Federico Raue, Jrn Hees, Andreas Dengel |
| 2020 | ICPR | P ≈ NP, at least in Visual Question Answering. | Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jrn Hees, Andreas Dengel |
| 2019 | ICANN | A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. | Fatemeh Azimi, Federico Raue, Jrn Hees, Andreas Dengel |
| 2019 | ICANN | Conditional GANs for Image Captioning with Sentiments. | Tushar Karayil, Asif Irfan, Federico Raue, Jrn Hees, Andreas Dengel |
| 2019 | ICANN | Comparison Between U-Net and U-ReNet Models in OCR Tasks. | Brian B. Moser, Federico Raue, Jrn Hees, Andreas Dengel |
| 2019 | IJCNN | Fusion Strategies for Learning User Embeddings with Neural Networks. | Philipp Blandfort, Tushar Karayil, Federico Raue, Jrn Hees, Andreas Dengel |
| 2018 | CVPR | What Do Deep Networks Like to See? | Sebastian Palacio, Joachim Folz, Jrn Hees, Federico Raue, Damian Borth, Andreas Dengel |
| 2018 | IUI | 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 |
| 2017 | ICANN | Classless Association Using Neural Networks. | Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki |
| 2016 | ICANN | Symbolic Association Using Parallel Multilayer Perceptron. | Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki |
| 2015 | CVPR | Scene labeling with LSTM recurrent neural networks. | Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki |
| 2015 | ICDAR | Parallel sequence classification using recurrent neural networks and alignment. | Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki |