Sebastian Palacio

Orcid: 0000-0002-8656-9569

According to our database¹, Sebastian Palacio authored at least 30 papers between 2012 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2025

Diffusion Models, Image Super-Resolution, and Everything: A Survey.

[BibT_eX]

[DOI]

Brian B. Moser

Arundhati S. Shanbhag

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers.

[BibT_eX]

[DOI]

Tobias Christian Nauen

Sebastian Palacio

Federico Raue

Andreas Dengel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Dynamic Attention-Guided Diffusion for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data.

[BibT_eX]

[DOI]

CoRR, 2024

Latent Dataset Distillation with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation.

[BibT_eX]

[DOI]

Christiano Couto Gava

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

TaylorShift: Shifting the Complexity of Self-attention from Squared to Linear (and Back) Using Taylor-Softmax.

[BibT_eX]

[DOI]

Tobias Christian Nauen

Sebastian Palacio

Andreas Dengel

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers.

[BibT_eX]

[DOI]

Tobias Christian Nauen

Sebastian Palacio

Andreas Dengel

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Cross-Domain Transformation for Outlier Detection on Tabular Datasets.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Sequential Spatial Transformer Networks for Salient Object Classification.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

DWA: Differential Wavelet Amplifier for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images.

[BibT_eX]

[DOI]

Christiano Couto Gava

Vishal Mukunda

Tewodros Habtegebrial

Federico Raue

Sebastian Palacio

Andreas Dengel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Difficulty Estimation with Action Scores for Computer Vision Tasks.

[BibT_eX]

[DOI]

Octavio Arriaga

Sebastian Palacio

Matias Valdenegro-Toro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self-supervised Test-time Adaptation on Video Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Spatial Transformer Networks for Curriculum Learning.

[BibT_eX]

[DOI]

Fatemeh Azimi

Jean-Francois Jacques Nicolas Nies

CoRR, 2021

XAI Handbook: Towards a Unified Framework for Explainable AI.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Adversarial Defense based on Structure-to-Signal Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

P ≈ NP, at least in Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Adversarial Defense based on Structure-to-Signal Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2018

What Do Deep Networks Like to See?

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Classless Association Using Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Symbolic Association Using Parallel Multilayer Perceptron.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2014

Application Exploring of Ubiquitous Pressure Sensitive Matrix as Input Resource for Home-Service Robots.

[BibT_eX]

[DOI]

Proceedings of the Robot Intelligence Technology and Applications 3, 2014

2012

Retrieving Objects, People and Places from a video Collection: TRECVID'12 Instance Search Task.

[BibT_eX]

[DOI]

Christian Schulze

Sebastian Palacio

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Sebastian Palacio

Timeline

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On csauthors.net:

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