Federico Raue

According to our database1, Federico Raue authored at least 37 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Diffusion Models, Image Super-Resolution And Everything: A Survey.
CoRR, 2024

2023
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution.
CoRR, 2023

DWA: Differential Wavelet Amplifier for Image Super-Resolution.
CoRR, 2023

Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.
CoRR, 2023

Cross-Domain Transformation for Outlier Detection on Tabular Datasets.
Proceedings of the International Joint Conference on Neural Networks, 2023

Sequential Spatial Transformer Networks for Salient Object Classification.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-supervised Test-time Adaptation on Video Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Audioclip: Extending Clip to Image, Text and Audio.
Proceedings of the IEEE International Conference on Acoustics, 2022

Less is More: Proxy Datasets in NAS approaches.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Adversarial text-to-image synthesis: A review.
Neural Networks, 2021

Spatial Transformer Networks for Curriculum Learning.
CoRR, 2021

Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Combining Transformer Generators with Convolutional Discriminators.
Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs.
Proceedings of the International Joint Conference on Neural Networks, 2021

ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio.
Proceedings of the International Joint Conference on Neural Networks, 2021

Rethinking RNN-Based Video Object Segmentation.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021

AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020
Hybrid Sequence to Sequence Model for Video Object Segmentation.
CoRR, 2020

P ≈ NP, at least in Visual Question Answering.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

ESResNet: Environmental Sound Classification Based on Visual Domain Models.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

DartsReNet: Exploring New RNN Cells in ReNet Architectures.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Fusion Strategies for Learning User Embeddings with Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Comparison Between U-Net and U-ReNet Models in OCR Tasks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Conditional GANs for Image Captioning with Sentiments.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

A Reinforcement Learning Approach for Sequential Spatial Transformer Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
Association Learning inspired by the Symbol Grounding Problem.
PhD thesis, 2018

Symbol Grounding Association in Multimodal Sequences with Missing Elements.
J. Artif. Intell. Res., 2018

Reading Type Classification based on Generative Models and Bidirectional Long Short-Term Memory.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

What Do Deep Networks Like to See?
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Classless Association Using Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Symbolic Association Using Parallel Multilayer Perceptron.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks.
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

Parallel sequence classification using recurrent neural networks and alignment.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Scene labeling with LSTM recurrent neural networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015


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