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Sebastian Palacio
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2020 – today
- 2024
- [c19]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 - [c18]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. ACM Multimedia 2024: 10621-10629 - [c17]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 - [i17]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) - [i16]Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel:
TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax. CoRR abs/2403.02920 (2024) - [i15]Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel:
Latent Dataset Distillation with Diffusion Models. CoRR abs/2403.03881 (2024) - [i14]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 abs/2404.07564 (2024) - [i13]Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Jörn Hees, Andreas Dengel:
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data. CoRR abs/2404.14933 (2024) - 2023
- [j1]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) - [c16]Octavio Arriaga, Sebastian Palacio, Matias Valdenegro-Toro:
Difficulty Estimation with Action Scores for Computer Vision Tasks. CVPR Workshops 2023: 245-253 - [c15]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 - [c14]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
DWA: Differential Wavelet Amplifier for Image Super-Resolution. ICANN (2) 2023: 232-243 - [c13]David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel:
Sequential Spatial Transformer Networks for Salient Object Classification. ICPRAM 2023: 328-335 - [c12]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 - [i12]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) - [i11]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
DWA: Differential Wavelet Amplifier for Image Super-Resolution. CoRR abs/2307.04593 (2023) - [i10]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) - [i9]Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel:
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers. CoRR abs/2308.09372 (2023) - 2022
- [c11]Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel:
Self-supervised Test-time Adaptation on Video Data. WACV 2022: 2603-2612 - [i8]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
- [c10]Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel:
XAI Handbook: Towards a Unified Framework for Explainable AI. ICCVW 2021: 3759-3768 - [i7]Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel:
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. CoRR abs/2101.03057 (2021) - [i6]Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Jörn Hees, Sheraz Ahmed, Andreas Dengel:
XAI Handbook: Towards a Unified Framework for Explainable AI. CoRR abs/2105.06677 (2021) - [i5]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
- [c9]Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel:
P ≈ NP, at least in Visual Question Answering. ICPR 2020: 2748-2754 - [c8]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 - [c7]Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel:
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. ICPR 2020: 8937-8944 - [c6]Joachim Folz, Sebastian Palacio, Jörn Hees, Andreas Dengel:
Adversarial Defense based on Structure-to-Signal Autoencoders. WACV 2020: 3568-3577 - [i4]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) - [i3]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)
2010 – 2019
- 2018
- [c5]Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What Do Deep Networks Like to See? CVPR 2018: 3108-3117 - [i2]Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel:
Adversarial Defense based on Structure-to-Signal Autoencoders. CoRR abs/1803.07994 (2018) - [i1]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
- [c4]Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki:
Classless Association Using Neural Networks. ICANN (2) 2017: 165-173 - 2016
- [c3]Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki:
Symbolic Association Using Parallel Multilayer Perceptron. ICANN (2) 2016: 347-354 - 2014
- [c2]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: 359-371 - 2012
- [c1]Christian Schulze, Sebastian Palacio:
Retrieving Objects, People and Places from a video Collection: TRECVID'12 Instance Search Task. TRECVID 2012
Coauthor Index
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last updated on 2024-11-06 21:34 CET by the dblp team
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