Retrieving Objects, People and Places from a video Collection: TRECVID'12 Instance Search Task. - Christian Schulze; Sebastian Palacio (TRECVID, 2012)

Application Exploring of Ubiquitous Pressure Sensitive Matrix as Input Resource for Home-Service Robots. - Jingyuan Cheng; Mathias Sundholm; Marco Hirsch; Bo Zhou 005; Sebastian Palacio; Paul Lukowicz (RiTA, 2014)

Symbolic Association Using Parallel Multilayer Perceptron. - Federico Raue; Sebastian Palacio; Thomas M. Breuel; Wonmin Byeon; Andreas Dengel 001; Marcus Liwicki (ICANN (2), 2016)

Classless Association Using Neural Networks. - Federico Raue; Sebastian Palacio; Andreas Dengel 001; Marcus Liwicki (ICANN (2), 2017)

What Do Deep Networks Like to See? - Sebastian Palacio; Joachim Folz; Jörn Hees; Federico Raue; Damian Borth; Andreas Dengel 001 (CVPR, 2018)

Adversarial Defense based on Structure-to-Signal Autoencoders. - Joachim Folz; Sebastian Palacio; Jörn Hees; Damian Borth; Andreas Dengel 001 (CoRR, 2018)

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 001 (ICPR, 2020)

P ≈ NP, at least in Visual Question Answering. - Shailza Jolly; Sebastian Palacio; Joachim Folz; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICPR, 2020)

Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. - Sebastian Palacio; Philipp Engler; Jörn Hees; Andreas Dengel 001 (ICPR, 2020)

Adversarial Defense based on Structure-to-Signal Autoencoders. - Joachim Folz; Sebastian Palacio; Jörn Hees; Andreas Dengel 001 (WACV, 2020)

XAI Handbook: Towards a Unified Framework for Explainable AI. - Sebastian Palacio; Adriano Lucieri; Mohsin Munir; Sheraz Ahmed; Jörn Hees; Andreas Dengel 001 (ICCVW, 2021)

Spatial Transformer Networks for Curriculum Learning. - Fatemeh Azimi; Jean-Francois Jacques Nicolas Nies; Sebastian Palacio; Federico Raue; Jörn Hees; Andreas Dengel 001 (CoRR, 2021)

Self-supervised Test-time Adaptation on Video Data. - Fatemeh Azimi; Sebastian Palacio; Federico Raue; Jörn Hees; Luca Bertinetto; Andreas Dengel 001 (WACV, 2022)

Difficulty Estimation with Action Scores for Computer Vision Tasks. - Octavio Arriaga; Sebastian Palacio; Matias Valdenegro-Toro (CVPR Workshops, 2023)

SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images. - Christiano Couto Gava; Vishal Mukunda; Tewodros Habtegebrial; Federico Raue; Sebastian Palacio; Andreas Dengel 001 (CVPR Workshops, 2023)

DWA: Differential Wavelet Amplifier for Image Super-Resolution. - Brian B. Moser; Stanislav Frolov; Federico Raue; Sebastian Palacio; Andreas Dengel 001 (ICANN (2), 2023)

Sequential Spatial Transformer Networks for Salient Object Classification. - David Dembinsky; Fatemeh Azimi; Federico Raue; Jörn Hees; Sebastian Palacio; Andreas Dengel 001 (ICPRAM, 2023)

Cross-Domain Transformation for Outlier Detection on Tabular Datasets. - Dayananda Herurkar; Timur Sattarov; Jörn Hees; Sebastian Palacio; Federico Raue; Andreas Dengel 001 (IJCNN, 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 001 (CoRR, 2023)

Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers. - Tobias Christian Nauen; Sebastian Palacio; Andreas Dengel 001 (CoRR, 2023)

Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. - Brian B. Moser; Federico Raue; Stanislav Frolov; Sebastian Palacio; Jörn Hees; Andreas Dengel 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

TaylorShift: Shifting the Complexity of Self-attention from Squared to Linear (and Back) Using Taylor-Softmax. - Tobias Christian Nauen; Sebastian Palacio; Andreas Dengel 001 (ICPR (6), 2024)

Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. - Brian B. Moser; Stanislav Frolov; Federico Raue; Sebastian Palacio; Andreas Dengel 001 (IJCNN, 2024)

ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation. - Stanislav Frolov; Brian B. Moser; Sebastian Palacio; Andreas Dengel 001 (ACM Multimedia, 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 001 (WACV, 2024)

Latent Dataset Distillation with Diffusion Models. - Brian B. Moser; Federico Raue; Sebastian Palacio; Stanislav Frolov; Andreas Dengel 001 (CoRR, 2024)

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data. - Dayananda Herurkar; Sebastian Palacio; Ahmed Anwar; Jörn Hees; Andreas Dengel 001 (CoRR, 2024)

Dynamic Attention-Guided Diffusion for Image Super-Resolution. - Brian B. Moser; Stanislav Frolov; Federico Raue; Sebastian Palacio; Andreas Dengel 001 (WACV, 2025)

Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers. - Tobias Christian Nauen; Sebastian Palacio; Federico Raue; Andreas Dengel 001 (WACV, 2025)

Diffusion Models, Image Super-Resolution, and Everything: A Survey. - Brian B. Moser; Arundhati S. Shanbhag; Federico Raue; Stanislav Frolov; Sebastian Palacio; Andreas Dengel 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)