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Federico Raue
Federico Raue
Verified email at dfki.de
Title
Cited by
Cited by
Year
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
4122015
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
502021
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
322018
Adversarial text-to-image synthesis: A review
S Frolov, T Hinz, F Raue, J Hees, A Dengel
Neural Networks 144, 187-209, 2021
212021
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
142022
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
112015
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
102018
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
82021
Conditional GANs for image captioning with sentiments
T Karayil, A Irfan, F Raue, J Hees, A Dengel
International Conference on Artificial Neural Networks, 300-312, 2019
62019
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
62019
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
52021
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
32022
Combining transformer generators with convolutional discriminators
R Durall, S Frolov, J Hees, F Raue, FJ Pfreundt, A Dengel, J Keuper
German Conference on Artificial Intelligence (Künstliche Intelligenz), 67-79, 2021
32021
Revisiting sequence-to-sequence video object segmentation with multi-task loss and skip-memory
F Azimi, B Bischke, S Palacio, F Raue, J Hees, A Dengel
2020 25th International Conference on Pattern Recognition (ICPR), 5376-5383, 2021
32021
Dartsrenet: Exploring new rnn cells in renet architectures
BB Moser, F Raue, J Hees, A Dengel
International Conference on Artificial Neural Networks, 850-861, 2020
32020
Symbol grounding in multimodal sequences using recurrent neural networks
F Raue, W Byeon, TM Breuel, M Liwicki
CoCo@ NIPS, 2015
32015
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
22021
A reinforcement learning approach for sequential spatial transformer networks
F Azimi, F Raue, J Hees, A Dengel
International Conference on Artificial Neural Networks, 585-597, 2019
22019
Symbol grounding association in multimodal sequences with missing elements
F Raue, A Dengel, TM Breuel, M Liwicki
Journal of Artificial Intelligence Research 61, 787-806, 2018
22018
Classless association using neural networks
F Raue, S Palacio, A Dengel, M Liwicki
International Conference on Artificial Neural Networks, 165-173, 2017
22017
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Articles 1–20