Sebastian Palacio

According to our database, Sebastian Palacio authored at least 26 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Latent Dataset Distillation with Diffusion Models.

Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel

CoRR, 2024

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

Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel

CoRR, 2024

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

Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel

CoRR, 2024

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

Christiano Couto Gava, Yunmin Cho, Federico Raue, Sebastian Palacio, Alain Pagani, Andreas Dengel

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

2023

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

Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel

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

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

Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel

CoRR, 2023

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

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

CoRR, 2023

DWA: Differential Wavelet Amplifier for Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

CoRR, 2023

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

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

CoRR, 2023

Cross-Domain Transformation for Outlier Detection on Tabular Datasets.

Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2023

Sequential Spatial Transformer Networks for Salient Object Classification.

David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel

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

SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images.

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.

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.

Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel

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

2021

Spatial Transformer Networks for Curriculum Learning.

Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel

CoRR, 2021

XAI Handbook: Towards a Unified Framework for Explainable AI.

Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel

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

2020

Adversarial Defense based on Structure-to-Signal Autoencoders.

Joachim Folz, Sebastian Palacio, Jörn Hees, Andreas Dengel

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

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

Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel

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

P ≈ NP, at least in Visual Question Answering.

Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel

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

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

Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel

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

2018

Adversarial Defense based on Structure-to-Signal Autoencoders.

Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel

CoRR, 2018

What Do Deep Networks Like to See?

Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel

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

2017

Classless Association Using Neural Networks.

Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki

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

2016

Symbolic Association Using Parallel Multilayer Perceptron.

Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki

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.

Jingyuan Cheng, Mathias Sundholm, Marco Hirsch, Bo Zhou, Sebastian Palacio, Paul Lukowicz

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.

Christian Schulze, Sebastian Palacio

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012