Articles with public access mandates - Federico RaueLearn more
Not available anywhere: 3
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
Mandates: Federal Ministry of Education and Research, Germany
Cross-Domain Transformation for Outlier Detection on Tabular Datasets
D Herurkar, T Sattarov, J Hees, S Palacio, F Raue, A Dengel
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs
D Herurkar, P Blandfort, F Raue, J Hees, A Dengel
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Mandates: Federal Ministry of Education and Research, Germany
Available somewhere: 19
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
Mandates: Federal Ministry of Education and Research, Germany
Adversarial text-to-image synthesis: A review
S Frolov, T Hinz, F Raue, J Hees, A Dengel
Neural Networks 144, 187-209, 2021
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Federal Ministry of Education and Research, Germany
A reinforcement learning approach for sequential spatial transformer networks
F Azimi, F Raue, J Hees, A Dengel
Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019
Mandates: Federal Ministry of Education and Research, Germany
P NP, at least in Visual Question Answering
S Jolly, S Palacio, J Folz, F Raue, J Hees, A Dengel
arXiv preprint arXiv:2003.11844, 2020
Mandates: Federal Ministry of Education and Research, Germany
Rethinking RNN-Based Video Object Segmentation
F Azimi, F Raue, J Hees, A Dengel
International Joint Conference on Computer Vision, Imaging and Computer …, 2021
Mandates: Federal Ministry of Education and Research, Germany
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