Federico Raue

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Andreas DengelProfessor of Computer Science, University of Kaiserslautern & Executive Director, DFKIEmail yang diverifikasi di dfki.de
Jörn HeesH-BRS, DFKIEmail yang diverifikasi di h-brs.de
Stanislav FrolovResearcher, German Research Center for Artificial IntelligenceEmail yang diverifikasi di dfki.de
Sebastian PalacioResearch scientist on Industrial AI. Former head of the MADM research group, DFKIEmail yang diverifikasi di de.abb.com
Brian B. MoserPhD Researcher, German Research Center for Artificial Intelligence, University of KaiserslauternEmail yang diverifikasi di dfki.de
Marcus LiwickiLuleå University of Technology, EISLAB, Machine Learning, SwedenEmail yang diverifikasi di ltu.se
Thomas BreuelResearcher, NVIDIA Inc.Email yang diverifikasi di 9x9.com
Andrey GuzhovDFKIEmail yang diverifikasi di dfki.de
Fatemeh AzimiTU KaiserslauternEmail yang diverifikasi di dfki.de
Tushar KarayilResearcher DFKIEmail yang diverifikasi di dfki.de
Joachim FolzDFKIEmail yang diverifikasi di dfki.de
Damian BorthProfessor of Artificial Intelligence & Machine Learning, University of St. GallenEmail yang diverifikasi di unisg.ch
Dayananda HerurkarResearcher at DFKI GermanyEmail yang diverifikasi di dfki.de
Philipp BlandfortIndependent ResearcherEmail yang diverifikasi di pblandfort.com
Saleh MozafariWidasConcepts GmbHEmail yang diverifikasi di widas.de
Shailza JollyResearch Scientist at AmazonEmail yang diverifikasi di amazon.com
Benjamin BischkeGerman Research Center for Artificial Intelligence, Vision Impulse, NVIDIA AI LabEmail yang diverifikasi di dfki.de

Ikuti

Federico Raue

Senior Researcher, German Research Centre for Artificial Intelligence

Email yang diverifikasi di dfki.de


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	506	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	390	2022
Adversarial text-to-image synthesis: A review S Frolov, T Hinz, F Raue, J Hees, A Dengel Neural Networks 144, 187-209, 2021	222	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	144	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	54	2023
Diffusion models, image super-resolution, and everything: A survey BB Moser, AS Shanbhag, F Raue, S Frolov, S Palacio, A Dengel IEEE Transactions on Neural Networks and Learning Systems, 2024	43	2024
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	40	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
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	35	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	19	2021
Waving goodbye to low-res: A diffusion-wavelet approach for image super-resolution BB Moser, S Frolov, F Raue, S Palacio, A Dengel 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024	13	2024
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
Latent dataset distillation with diffusion models BB Moser, F Raue, S Palacio, S Frolov, A Dengel arXiv preprint arXiv:2403.03881, 2024	11	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
Dwa: Differential wavelet amplifier for image super-resolution BB Moser, S Frolov, F Raue, S Palacio, A Dengel International Conference on Artificial Neural Networks, 232-243, 2023	10	2023
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	10	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	8	2022
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	8	2020
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 5, 2023	6	2023

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