Sebastian Palacio

43 papers A* 2A 5B 5C 3Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Automatic Validation of Unstructured LLM-Generated Outputs: An Approach for Q&A Applications in Process Automation. ETFA Mohamed Elsheikh, Nicolai Schoch, Sebastian Palacio, Nika Strem, Katharina Stark, Mario Hoernicke
2025	J	`jnl`	Diffusion Models, Image Super-Resolution, and Everything: A Survey. IEEE Trans. Neural Networks Learn. Syst. Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
2025	C	`conf`	DriveAIAgent: A Multi-Agent System for Industrial Drive Commissioning and Troubleshooting. ETFA Virendra Ashiwal, Marcus Ritter, Sebastian Palacio, Nicolai Schoch
2025	A	`conf`	Dynamic Attention-Guided Diffusion for Image Super-Resolution. WACV Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2025	A	`conf`	Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers. WACV Tobias Christian Nauen, Sebastian Palacio, Federico Raue, Andreas Dengel
2024	J	`jnl`	Diffusion Models, Image Super-Resolution And Everything: A Survey. CoRR Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
2024	J	`jnl`	Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data. CoRR Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Jörn Hees, Andreas Dengel
2024	J	`jnl`	Latent Dataset Distillation with Diffusion Models. CoRR Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel
2024	A*	`conf`	ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation. ACM Multimedia Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel
2024	J	`jnl`	ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation. CoRR Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel
2024	A	`conf`	SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation. WACV Christiano Couto Gava, Yunmin Cho, Federico Raue, Sebastian Palacio, Alain Pagani, Andreas Dengel
2024	J	`jnl`	TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax. CoRR Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel
2024	—	`conf`	TaylorShift: Shifting the Complexity of Self-attention from Squared to Linear (and Back) Using Taylor-Softmax. ICPR (6) Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel
2024	B	`conf`	Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. IJCNN Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023	B	`conf`	Cross-Domain Transformation for Outlier Detection on Tabular Datasets. IJCNN Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel
2023	—	`conf`	DWA: Differential Wavelet Amplifier for Image Super-Resolution. ICANN (2) Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023	J	`jnl`	DWA: Differential Wavelet Amplifier for Image Super-Resolution. CoRR Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023	—	`conf`	Difficulty Estimation with Action Scores for Computer Vision Tasks. CVPR Workshops Octavio Arriaga, Sebastian Palacio, Matias Valdenegro-Toro
2023	J	`jnl`	Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. IEEE Trans. Pattern Anal. Mach. Intell. Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel
2023	C	`conf`	Sequential Spatial Transformer Networks for Salient Object Classification. ICPRAM David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel
2023	—	`conf`	SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images. CVPR Workshops Christiano Couto Gava, Vishal Mukunda, Tewodros Habtegebrial, Federico Raue, Sebastian Palacio, Andreas Dengel
2023	J	`jnl`	Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. CoRR Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023	J	`jnl`	Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers. CoRR Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel
2023	J	`jnl`	YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution. CoRR Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2022	J	`jnl`	Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. CoRR Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel
2022	A	`conf`	Self-supervised Test-time Adaptation on Video Data. WACV Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel
2021	J	`jnl`	Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. CoRR Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel
2021	J	`jnl`	Spatial Transformer Networks for Curriculum Learning. CoRR Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2021	—	`conf`	XAI Handbook: Towards a Unified Framework for Explainable AI. ICCVW Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel
2021	J	`jnl`	XAI Handbook: Towards a Unified Framework for Explainable AI. CoRR Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Jörn Hees, Sheraz Ahmed, Andreas Dengel
2020	A	`conf`	Adversarial Defense based on Structure-to-Signal Autoencoders. WACV Joachim Folz, Sebastian Palacio, Jörn Hees, Andreas Dengel
2020	B	`conf`	Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. ICPR Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel
2020	B	`conf`	P ≈ NP, at least in Visual Question Answering. ICPR Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	P ≈ NP, at least in Visual Question Answering. CoRR Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
2020	B	`conf`	Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. ICPR Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. CoRR Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2018	J	`jnl`	Adversarial Defense based on Structure-to-Signal Autoencoders. CoRR Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel
2018	A*	`conf`	What Do Deep Networks Like to See? CVPR Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
2018	J	`jnl`	What do Deep Networks Like to See? CoRR Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
2017	—	`conf`	Classless Association Using Neural Networks. ICANN (2) Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki
2016	—	`conf`	Symbolic Association Using Parallel Multilayer Perceptron. ICANN (2) Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki
2014	—	`conf`	Application Exploring of Ubiquitous Pressure Sensitive Matrix as Input Resource for Home-Service Robots. RiTA Jingyuan Cheng, Mathias Sundholm, Marco Hirsch, Bo Zhou, Sebastian Palacio, Paul Lukowicz
2012	—	`conf`	Retrieving Objects, People and Places from a video Collection: TRECVID'12 Instance Search Task. TRECVID Christian Schulze, Sebastian Palacio