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Sebastian Palacio

Observed names: Palacio, Sebastian, Sebastian M. Palacio
Institution: ABB (Germany)
ORCID: 0000-0002-8656-9569
Observed ORCID: 0000-0002-8656-9569
OpenAlex ID: A5006074105
Diffusion Models, Image Super-Resolution, and Everything: A Survey
2024 · Brian B. Moser, Arundhati S. Shanbhag, et al. · IEEE Transactions on Neural Networks and Learning Systems · 161
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
2023 · Brian B. Moser, Federico Raue, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 73
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XAI Handbook: Towards a Unified Framework for Explainable AI
2021 · Sebastian Palacio, Adriano Lucieri, et al. · IEEE International Conference on Computer Vision Workshops · 61
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Adversarial Defense based on Structure-to-Signal Autoencoders
2020 · Joachim Folz, Sebastian Palacio, et al. · IEEE Winter Conference on Applications of Computer Vision · 37
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What do Deep Networks Like to See?
2018 · Sebastian Palacio, Joachim Folz, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 33
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Unlocking Dataset Distillation with Diffusion Models
2025 · Brian Moser, Federico Raue, et al. · neural information processing systems · 30
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Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
2024 · Brian B. Moser, Stanislav Frolov, et al. · International Joint Conference on Neural Networks (IJCNN) · 25
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Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
2025 · Tobias Christian Nauen, Sebastian Palacio, et al. · IEEE Winter Conference on Applications of Computer Vision · 21
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Self-supervised Test-time Adaptation on Video Data
2022 · Fatemeh Azimi, Sebastian Palacio, et al. · IEEE Winter Conference on Applications of Computer Vision · 19
Abnormal Pattern Prediction: Detecting Fraudulent Insurance Property Claims with Semi-Supervised Machine-Learning
2018 · Sebastian M. Palacio · Data Science Journal · 18
TaylorShift: Shifting the Complexity of Self-attention from Squared to Linear (and Back) Using Taylor-Softmax
2024 · Tobias Christian Nauen, Sebastian Palacio, et al. · Lecture notes in computer science · 14
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Dynamic Attention-Guided Diffusion for Image Super-Resolution
2025 · Brian B. Moser, Stanislav Frolov, et al. · IEEE Winter Conference on Applications of Computer Vision · 13
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DWA: Differential Wavelet Amplifier for Image Super-Resolution
2023 · Brian B. Moser, Stanislav Frolov, et al. · Lecture notes in computer science · 13
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SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images
2023 · Christiano Gava, Vishal Mukunda, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 9
Application Exploring of Ubiquitous Pressure Sensitive Matrix as Input Resource for Home-Service Robots
2015 · Jingyuan Cheng, Mathias Sundholm, et al. · Advances in intelligent systems and computing · 9
Cross-Domain Transformation for Outlier Detection on Tabular Datasets
2023 · Dayananda Herurkar, Timur Sattarov, et al. · International Joint Conference on Neural Networks (IJCNN) · 8
Fin-Fed-OD: Enhancing Outlier Detection Using Federated Learning on Financial Tabular Data
2025 · Dayananda Herurkar, Ahmed Anwar, et al. · International Conference on Federated Learning Technologies and Applications (FLTA) · 7
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Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory
2021 · Fatemeh Azimi, Benjamin Bischke, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 5
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Classless Association Using Neural Networks
2017 · Federico Raue, Sebastian Palacio, et al. · Lecture notes in computer science · 3
Symbolic Association Using Parallel Multilayer Perceptron
2016 · Federico Raue, Sebastian Palacio, et al. · Lecture notes in computer science · 3
DriveAIAgent: A Multi-Agent System for Industrial Drive Commissioning and Troubleshooting
2025 · Virendra Ashiwal, Marcus Ritter, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 2
The “Engineering Data Funnel”: Knowledge-Enhanced, Agentic-AI-Based Data Processing for Automation Engineering
2025 · Nicolai Schoch, Mohamed Elsheikh, et al. · IFAC-PapersOnLine · 2
Difficulty Estimation with Action Scores for Computer Vision Tasks
2023 · Octavio Arriaga, Sebastian Palacio, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2
Spatial Transformer Networks for Curriculum Learning
2021 · Azimi, Fatemeh, Nies, Jean-Francois Jacques Nicolas, et al. · arXiv (Cornell University) · 2
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Process Control Narrative Miner: Knowledge-Enhanced LLMs for Extracting PCN Information
2026 · Mohamed Elsheikh, Nicolai Schoch, et al. · atp magazin · 1
Works count: 48
Citation count: 576
H-index: 13
I10-index: 13
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