Scene labeling with LSTM recurrent neural networks. - Wonmin Byeon; Thomas M. Breuel; Federico Raue; Marcus Liwicki (CVPR, 2015)

Parallel sequence classification using recurrent neural networks and alignment. - Federico Raue; Wonmin Byeon; Thomas M. Breuel; Marcus Liwicki (ICDAR, 2015)

Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks. - Federico Raue; Wonmin Byeon; Thomas M. Breuel; Marcus Liwicki (CoCo@NIPS, 2015)

Symbolic Association Using Parallel Multilayer Perceptron. - Federico Raue; Sebastian Palacio; Thomas M. Breuel; Wonmin Byeon; Andreas Dengel 001; Marcus Liwicki (ICANN (2), 2016)

Classless Association Using Neural Networks. - Federico Raue; Sebastian Palacio; Andreas Dengel 001; Marcus Liwicki (ICANN (2), 2017)

What Do Deep Networks Like to See? - Sebastian Palacio; Joachim Folz; Jörn Hees; Federico Raue; Damian Borth; Andreas Dengel 001 (CVPR, 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 001 (IUI Workshops, 2018)

Symbol Grounding Association in Multimodal Sequences with Missing Elements. - Federico Raue; Andreas Dengel 001; Thomas M. Breuel; Marcus Liwicki (J. Artif. Intell. Res., 2018)

Association Learning inspired by the Symbol Grounding Problem. - Federico Raue (2018)

A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. - Fatemeh Azimi; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICANN (1), 2019)

Conditional GANs for Image Captioning with Sentiments. - Tushar Karayil; Asif Irfan; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICANN (4), 2019)

Comparison Between U-Net and U-ReNet Models in OCR Tasks. - Brian B. Moser; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICANN (3), 2019)

Fusion Strategies for Learning User Embeddings with Neural Networks. - Philipp Blandfort; Tushar Karayil; Federico Raue; Jörn Hees; Andreas Dengel 001 (IJCNN, 2019)

DartsReNet: Exploring New RNN Cells in ReNet Architectures. - Brian B. Moser; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICANN (1), 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 001 (ICPR, 2020)

ESResNet: Environmental Sound Classification Based on Visual Domain Models. - Andrey Guzhov; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICPR, 2020)

P ≈ NP, at least in Visual Question Answering. - Shailza Jolly; Sebastian Palacio; Joachim Folz; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICPR, 2020)

Hybrid Sequence to Sequence Model for Video Object Segmentation. - Fatemeh Azimi; Stanislav Frolov; Federico Raue; Jörn Hees; Andreas Dengel 001 (CoRR, 2020)

AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. - Stanislav Frolov; Avneesh Sharma; Jörn Hees; Tushar Karayil; Federico Raue; Andreas Dengel 001 (GCPR, 2021)

Rethinking RNN-Based Video Object Segmentation. - Fatemeh Azimi; Federico Raue; Jörn Hees; Andreas Dengel 001 (VISIGRAPP (Revised Selected Papers), 2021)

ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. - Andrey Guzhov; Federico Raue; Jörn Hees; Andreas Dengel 001 (IJCNN, 2021)

ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. - Dayananda Herurkar; Philipp Blandfort; Federico Raue; Jörn Hees; Andreas Dengel 001 (IJCNN, 2021)

Combining Transformer Generators with Convolutional Discriminators. - Ricard Durall; Stanislav Frolov; Jörn Hees; Federico Raue; Franz-Josef Pfreundt; Andreas Dengel 001; Janis Keuper (KI, 2021)

Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching. - Fatemeh Azimi; Stanislav Frolov; Federico Raue; Jörn Hees; Andreas Dengel 001 (VISIGRAPP (4: VISAPP), 2021)

Spatial Transformer Networks for Curriculum Learning. - Fatemeh Azimi; Jean-Francois Jacques Nicolas Nies; Sebastian Palacio; Federico Raue; Jörn Hees; Andreas Dengel 001 (CoRR, 2021)

Adversarial text-to-image synthesis: A review. - Stanislav Frolov; Tobias Hinz; Federico Raue; Jörn Hees; Andreas Dengel 001 (Neural Networks, 2021)

Less is More: Proxy Datasets in NAS approaches. - Brian B. Moser; Federico Raue; Jörn Hees; Andreas Dengel 001 (CVPR Workshops, 2022)

Audioclip: Extending Clip to Image, Text and Audio. - Andrey Guzhov; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICASSP, 2022)

Self-supervised Test-time Adaptation on Video Data. - Fatemeh Azimi; Sebastian Palacio; Federico Raue; Jörn Hees; Luca Bertinetto; Andreas Dengel 001 (WACV, 2022)

SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images. - Christiano Couto Gava; Vishal Mukunda; Tewodros Habtegebrial; Federico Raue; Sebastian Palacio; Andreas Dengel 001 (CVPR Workshops, 2023)

DWA: Differential Wavelet Amplifier for Image Super-Resolution. - Brian B. Moser; Stanislav Frolov; Federico Raue; Sebastian Palacio; Andreas Dengel 001 (ICANN (2), 2023)

Sequential Spatial Transformer Networks for Salient Object Classification. - David Dembinsky; Fatemeh Azimi; Federico Raue; Jörn Hees; Sebastian Palacio; Andreas Dengel 001 (ICPRAM, 2023)

Cross-Domain Transformation for Outlier Detection on Tabular Datasets. - Dayananda Herurkar; Timur Sattarov; Jörn Hees; Sebastian Palacio; Federico Raue; Andreas Dengel 001 (IJCNN, 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 001 (CoRR, 2023)

Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. - Brian B. Moser; Federico Raue; Stanislav Frolov; Sebastian Palacio; Jörn Hees; Andreas Dengel 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection. - Dayananda Herurkar; Federico Raue; Andreas Dengel 001 (ICAIF, 2024)

A Study in Dataset Pruning for Image Super-Resolution. - Brian B. Moser; Federico Raue; Andreas Dengel 001 (ICANN (2), 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 001 (IJCNN, 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 001 (WACV, 2024)

Latent Dataset Distillation with Diffusion Models. - Brian B. Moser; Federico Raue; Sebastian Palacio; Stanislav Frolov; Andreas Dengel 001 (CoRR, 2024)

Federated Learning for Blind Image Super-Resolution. - Brian B. Moser; Ahmed Anwar; Federico Raue; Stanislav Frolov; Andreas Dengel 001 (CoRR, 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 001 (CoRR, 2024)

A Low-Resolution Image is Worth 1x1 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 001 (CoRR, 2024)

Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution. - Brian B. Moser; Stanislav Frolov; Tobias Christian Nauen; Federico Raue; Andreas Dengel 001 (CoRR, 2024)

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning. - Arundhati S. Shanbhag; Brian B. Moser; Tobias Christian Nauen; Stanislav Frolov; Federico Raue; Andreas Dengel 001 (CoRR, 2024)

Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning. - Brian B. Moser; Federico Raue; Tobias Christian Nauen; Stanislav Frolov; Andreas Dengel 001 (CoRR, 2024)

Dynamic Attention-Guided Diffusion for Image Super-Resolution. - Brian B. Moser; Stanislav Frolov; Federico Raue; Sebastian Palacio; Andreas Dengel 001 (WACV, 2025)

Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers. - Tobias Christian Nauen; Sebastian Palacio; Federico Raue; Andreas Dengel 001 (WACV, 2025)

A Study in Dataset Distillation for Image Super-Resolution. - Tobias Dietz; Brian B. Moser; Tobias Christian Nauen; Federico Raue; Stanislav Frolov; Andreas Dengel 001 (CoRR, 2025)

ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation. - Tobias Christian Nauen; Brian B. Moser; Federico Raue; Stanislav Frolov; Andreas Dengel 001 (CoRR, 2025)

A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances. - Brian B. Moser; Arundhati S. Shanbhag; Stanislav Frolov; Federico Raue; Joachim Folz; Andreas Dengel 001 (CoRR, 2025)

Diffusion Models, Image Super-Resolution, and Everything: A Survey. - Brian B. Moser; Arundhati S. Shanbhag; Federico Raue; Stanislav Frolov; Sebastian Palacio; Andreas Dengel 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)