| Scene labeling with lstm recurrent neural networks W Byeon, TM Breuel, F Raue, M Liwicki Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 493 | 2015 |
| Audioclip: Extending clip to image, text and audio A Guzhov, F Raue, J Hees, A Dengel ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 272 | 2022 |
| Adversarial text-to-image synthesis: A review S Frolov, T Hinz, F Raue, J Hees, A Dengel Neural Networks 144, 187-209, 2021 | 180 | 2021 |
| Esresnet: Environmental sound classification based on visual domain models A Guzhov, F Raue, J Hees, A Dengel 2020 25th international conference on pattern recognition (ICPR), 4933-4940, 2021 | 127 | 2021 |
| What do deep networks like to see? S Palacio, J Folz, J Hees, F Raue, D Borth, A Dengel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 40 | 2018 |
| Esresne (x) t-fbsp: Learning robust time-frequency transformation of audio A Guzhov, F Raue, J Hees, A Dengel 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 32 | 2021 |
| Hitchhiker's guide to super-resolution: Introduction and recent advances BB Moser, F Raue, S Frolov, S Palacio, J Hees, A Dengel IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9862-9882, 2023 | 30 | 2023 |
| Self-supervised test-time adaptation on video data F Azimi, S Palacio, F Raue, J Hees, L Bertinetto, A Dengel Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 25 | 2022 |
| Attrlostgan: Attribute controlled image synthesis from reconfigurable layout and style S Frolov, A Sharma, J Hees, T Karayil, F Raue, A Dengel DAGM German Conference on Pattern Recognition, 361-375, 2021 | 20 | 2021 |
| Combining transformer generators with convolutional discriminators R Durall, S Frolov, J Hees, F Raue, FJ Pfreundt, A Dengel, J Keuper KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI …, 2021 | 14 | 2021 |
| Reading type classification based on generative models and bidirectional long short-term memory SS Mozaffari, F Raue, SD Hassanzadeh, S Agne, SS Bukhari, A Dengel Proc. IUI Workshops, 1-5, 2018 | 13 | 2018 |
| Diffusion models, image super-resolution and everything: A survey BB Moser, AS Shanbhag, F Raue, S Frolov, S Palacio, A Dengel arXiv preprint arXiv:2401.00736, 2024 | 12 | 2024 |
| Parallel sequence classification using recurrent neural networks and alignment F Raue, W Byeon, TM Breuel, M Liwicki Document Analysis and Recognition (ICDAR), 2015 13th International …, 2015 | 11 | 2015 |
| Fusion strategies for learning user embeddings with neural networks P Blandfort, T Karayil, F Raue, J Hees, A Dengel 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 8 | 2019 |
| Waving goodbye to low-res: A diffusion-wavelet approach for image super-resolution B Moser, S Frolov, F Raue, S Palacio, A Dengel arXiv preprint arXiv:2304.01994, 2023 | 7 | 2023 |
| Dartsrenet: Exploring new rnn cells in renet architectures BB Moser, F Raue, J Hees, A Dengel Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 7 | 2020 |
| Conditional GANs for image captioning with sentiments T Karayil, A Irfan, F Raue, J Hees, A Dengel Artificial Neural Networks and Machine Learning–ICANN 2019: Text and Time …, 2019 | 7 | 2019 |
| Less is More: Proxy Datasets in NAS approaches B Moser, F Raue, J Hees, A Dengel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 5 | 2022 |
| Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching F Azimi, S Frolov, F Raue, J Hees, A Dengel Proceedings of the 16th International Joint Conference on Computer Vision …, 2021 | 5* | 2021 |
| Yoda: You only diffuse areas. an area-masked diffusion approach for image super-resolution BB Moser, S Frolov, F Raue, S Palacio, A Dengel arXiv preprint arXiv:2308.07977, 2023 | 4 | 2023 |
Andreas DengelProfessor of Computer Science, University of Kaiserslautern & Executive Director, DFKIVerified email at dfki.de
