Sebastian Palacio

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 32

Top Topics

Image Generation

Outlier Detection

Diffusion Model

Top Venues

Publications

Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel
TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax. CoRR (2024)
Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Jörn Hees, Andreas Dengel
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data. CoRR (2024)
Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation. CoRR (2024)
Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel
Latent Dataset Distillation with Diffusion Models. CoRR (2024)
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)
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
Diffusion Models, Image Super-Resolution And Everything: A Survey. CoRR (2024)
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
DWA: Differential Wavelet Amplifier for Image Super-Resolution. CoRR (2023)
Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel
Cross-Domain Transformation for Outlier Detection on Tabular Datasets. IJCNN (2023)
David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel
Sequential Spatial Transformer Networks for Salient Object Classification. ICPRAM (2023)
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) (2023)
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 (2023)
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)
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 (2023)
Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers. CoRR (2023)
Octavio Arriaga, Sebastian Palacio, Matias Valdenegro-Toro
Difficulty Estimation with Action Scores for Computer Vision Tasks. CVPR Workshops (2023)
Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel
Self-supervised Test-time Adaptation on Video Data. WACV (2022)
Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. CoRR (2022)
Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel
XAI Handbook: Towards a Unified Framework for Explainable AI. ICCVW (2021)
Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. CoRR (2021)
Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Jörn Hees, Sheraz Ahmed, Andreas Dengel
XAI Handbook: Towards a Unified Framework for Explainable AI. CoRR (2021)
Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
Spatial Transformer Networks for Curriculum Learning. CoRR (2021)
Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. ICPR (2020)
Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
P ≈ NP, at least in Visual Question Answering. ICPR (2020)
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 (2020)
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)
Joachim Folz, Sebastian Palacio, Jörn Hees, Andreas Dengel
Adversarial Defense based on Structure-to-Signal Autoencoders. WACV (2020)
Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
P ≈ NP, at least in Visual Question Answering. CoRR (2020)
Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
What do Deep Networks Like to See? CoRR (2018)
Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
What Do Deep Networks Like to See? CVPR (2018)
Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel
Adversarial Defense based on Structure-to-Signal Autoencoders. CoRR (2018)
Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki
Classless Association Using Neural Networks. ICANN (2) (2017)
Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki
Symbolic Association Using Parallel Multilayer Perceptron. ICANN (2) (2016)
Jingyuan Cheng, Mathias Sundholm, Marco Hirsch, Bo Zhou, Sebastian Palacio, Paul Lukowicz
Application Exploring of Ubiquitous Pressure Sensitive Matrix as Input Resource for Home-Service Robots. RiTA (2014)
Christian Schulze, Sebastian Palacio
Retrieving Objects, People and Places from a video Collection: TRECVID'12 Instance Search Task. TRECVID (2012)