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2020 – today
- 2024
[c31]Brian B. Moser
, Federico Raue, Andreas Dengel:
A Study in Dataset Pruning for Image Super-Resolution. ICANN (2) 2024: 351-363- [c30]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. IJCNN 2024: 1-8 - [c29]Christiano Couto Gava, Yunmin Cho, Federico Raue, Sebastian Palacio, Alain Pagani, Andreas Dengel:
SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation. WACV 2024: 4396-4405 - [i24]Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel:
Diffusion Models, Image Super-Resolution And Everything: A Survey. CoRR abs/2401.00736 (2024) - [i23]Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel:
Latent Dataset Distillation with Diffusion Models. CoRR abs/2403.03881 (2024) - [i22]Brian B. Moser, Federico Raue, Andreas Dengel:
A Study in Dataset Pruning for Image Super-Resolution. CoRR abs/2403.17083 (2024) - [i21]Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel:
Federated Learning for Blind Image Super-Resolution. CoRR abs/2404.17670 (2024) - [i20]Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel:
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data. CoRR abs/2408.04442 (2024) - 2023
- [j3]Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel:
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9862-9882 (2023) - [c28]Christiano Couto Gava, Vishal Mukunda, Tewodros Habtegebrial, Federico Raue, Sebastian Palacio, Andreas Dengel:
SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images. CVPR Workshops 2023: 6134-6144 - [c27]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
DWA: Differential Wavelet Amplifier for Image Super-Resolution. ICANN (2) 2023: 232-243 - [c26]David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel:
Sequential Spatial Transformer Networks for Salient Object Classification. ICPRAM 2023: 328-335 - [c25]Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel:
Cross-Domain Transformation for Outlier Detection on Tabular Datasets. IJCNN 2023: 1-8 - [i19]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. CoRR abs/2304.01994 (2023) - [i18]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
DartsReNet: Exploring new RNN cells in ReNet architectures. CoRR abs/2304.05838 (2023) - [i17]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
DWA: Differential Wavelet Amplifier for Image Super-Resolution. CoRR abs/2307.04593 (2023) - [i16]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution. CoRR abs/2308.07977 (2023) - 2022
- [c24]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Less is More: Proxy Datasets in NAS approaches. CVPR Workshops 2022: 1952-1960 - [c23]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
Audioclip: Extending Clip to Image, Text and Audio. ICASSP 2022: 976-980 - [c22]Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel:
Self-supervised Test-time Adaptation on Video Data. WACV 2022: 2603-2612 - [i15]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Less is More: Proxy Datasets in NAS approaches. CoRR abs/2203.06905 (2022) - [i14]Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel:
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. CoRR abs/2209.13131 (2022) - 2021
- [j2]Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel:
Adversarial text-to-image synthesis: A review. Neural Networks 144: 187-209 (2021) - [c21]Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel:
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. GCPR 2021: 361-375 - [c20]Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel:
Rethinking RNN-Based Video Object Segmentation. VISIGRAPP (Revised Selected Papers) 2021: 348-365 - [c19]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. IJCNN 2021: 1-8 - [c18]Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jörn Hees, Andreas Dengel:
ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. IJCNN 2021: 1-8 - [c17]Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper:
Combining Transformer Generators with Convolutional Discriminators. KI 2021: 67-79 - [c16]Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel:
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching. VISIGRAPP (4: VISAPP) 2021: 182-192 - [i13]Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel:
Adversarial Text-to-Image Synthesis: A Review. CoRR abs/2101.09983 (2021) - [i12]Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel:
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. CoRR abs/2103.13722 (2021) - [i11]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. CoRR abs/2104.11587 (2021) - [i10]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
AudioCLIP: Extending CLIP to Image, Text and Audio. CoRR abs/2106.13043 (2021) - [i9]Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel:
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. CoRR abs/2106.14295 (2021) - [i8]Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Spatial Transformer Networks for Curriculum Learning. CoRR abs/2108.09696 (2021) - 2020
- [c15]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
DartsReNet: Exploring New RNN Cells in ReNet Architectures. ICANN (1) 2020: 850-861 - [c14]Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel:
P ≈ NP, at least in Visual Question Answering. ICPR 2020: 2748-2754 - [c13]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNet: Environmental Sound Classification Based on Visual Domain Models. ICPR 2020: 4933-4940 - [c12]Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. ICPR 2020: 5376-5383 - [i7]Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel:
P ≈ NP, at least in Visual Question Answering. CoRR abs/2003.11844 (2020) - [i6]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNet: Environmental Sound Classification Based on Visual Domain Models. CoRR abs/2004.07301 (2020) - [i5]Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. CoRR abs/2004.12170 (2020) - [i4]Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel:
Hybrid Sequence to Sequence Model for Video Object Segmentation. CoRR abs/2010.05069 (2020)
2010 – 2019
- 2019
- [c11]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Comparison Between U-Net and U-ReNet Models in OCR Tasks. ICANN (3) 2019: 131-142 - [c10]Tushar Karayil, Asif Irfan, Federico Raue, Jörn Hees, Andreas Dengel:
Conditional GANs for Image Captioning with Sentiments. ICANN (4) 2019: 300-312 - [c9]Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel:
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. ICANN (1) 2019: 585-597 - [c8]Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel:
Fusion Strategies for Learning User Embeddings with Neural Networks. IJCNN 2019: 1-8 - [i3]Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel:
Fusion Strategies for Learning User Embeddings with Neural Networks. CoRR abs/1901.02322 (2019) - 2018
- [b1]Federico Raue:
Association Learning inspired by the Symbol Grounding Problem. Kaiserslautern University of Technology, Germany, 2018 - [j1]Federico Raue, Andreas Dengel, Thomas M. Breuel, Marcus Liwicki:
Symbol Grounding Association in Multimodal Sequences with Missing Elements. J. Artif. Intell. Res. 61: 787-806 (2018) - [c7]Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What Do Deep Networks Like to See? CVPR 2018: 3108-3117 - [c6]Seyyed Saleh Mozaffari Chanijani, Federico Raue, Saeid Dashti Hassanzadeh, Stefan Agne, Syed Saqib Bukhari, Andreas Dengel:
Reading Type Classification based on Generative Models and Bidirectional Long Short-Term Memory. IUI Workshops 2018 - [i2]Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What do Deep Networks Like to See? CoRR abs/1803.08337 (2018) - 2017
- [c5]Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki:
Classless Association Using Neural Networks. ICANN (2) 2017: 165-173 - 2016
- [c4]Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki:
Symbolic Association Using Parallel Multilayer Perceptron. ICANN (2) 2016: 347-354 - 2015
- [c3]Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki:
Scene labeling with LSTM recurrent neural networks. CVPR 2015: 3547-3555 - [c2]Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki:
Parallel sequence classification using recurrent neural networks and alignment. ICDAR 2015: 581-585 - [c1]Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki:
Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks. CoCo@NIPS 2015 - [i1]Federico Raue, Thomas M. Breuel, Andreas Dengel, Marcus Liwicki:
Symbol Grounding Association in Multimodal Sequences with Missing Elements. CoRR abs/1511.04401 (2015)
Coauthor Index
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last updated on 2024-10-23 21:28 CEST by the dblp team
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