Thilo Stadelmann

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 47

Top Venues

University of Marburg (PHD)

Education History

University of Marburg

PHD

Publications

Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. IEEE Access 12 (2024)
Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter, Thilo Stadelmann, Alireza Darvishy
MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition. CoRR (2024)
Daniel Neururer, Volker Dellwo, Thilo Stadelmann
Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features. Pattern Recognit. Lett. 181 (2024)
Pascal Sager, Jan Milan Deriu, Benjamin F. Grewe, Thilo Stadelmann, Christoph von der Malsburg
The Dynamic Net Architecture: Learning Robust and Holistic Visual Representations Through Self-Organizing Networks. CoRR (2024)
Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter, Thilo Stadelmann, Alireza Darvishy
MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition. IEEE Access 12 (2024)
Lukas Tuggener, Raphael Emberger, Adhiraj Ghosh, Pascal Sager, Yvan Putra Satyawan, Javier A. Montoya-Zegarra, Simon Goldschagg, Florian Seibold, Urs Gut, Philipp Ackermann, Jürgen Schmidhuber, Thilo Stadelmann
Real World Music Object Recognition. Trans. Int. Soc. Music. Inf. Retr. 7 (1) (2024)
Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation. CoRR (2023)
Paul-Philipp Luley, Jan M. Deriu, Peng Yan, Gerrit A. Schatte, Thilo Stadelmann
From Concept to Implementation: The Data-Centric Development Process for AI in Industry. SDS (2023)
Waqar Ali, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo
Quasi-CliquePool: Hierarchical Graph Pooling for Graph Classification. SAC (2023)
Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann
Video object detection for privacy-preserving patient monitoring in intensive care. CoRR (2023)
Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann
Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care. SDS (2023)
Daniel Neururer, Volker Dellwo, Thilo Stadelmann
Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features. CoRR (2023)
Peng Yan, Ahmed Abdulkadir, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. CoRR (2023)
Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps. CoRR (2022)
Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter, Thilo Stadelmann, Alireza Darvishy
FormulaNet: A Benchmark Dataset for Mathematical Formula Detection. IEEE Access 10 (2022)
Pascal Sager, Sebastian Salzmann, Felice Burn, Thilo Stadelmann
Unsupervised Domain Adaptation for Vertebrae Detection and Identification in 3D CT Volumes Using a Domain Sanity Loss. J. Imaging 8 (8) (2022)
Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
Is it enough to optimize CNN architectures on ImageNet? Frontiers Comput. Sci. 4 (2022)
Christoph von der Malsburg, Thilo Stadelmann, Benjamin F. Grewe
A Theory of Natural Intelligence. CoRR (2022)
Samuel Wehrli, Corinna Hertweck, Mohammadreza Amirian, Stefan Glüge, Thilo Stadelmann
Bias, awareness, and ignorance in deep-learning-based face recognition. AI Ethics 2 (3) (2022)
Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. CoRR (2022)
Niclas Simmler, Pascal Sager, Philipp Andermatt, Ricardo Chavarriaga, Frank-Peter Schilling, Matthias Rosenthal, Thilo Stadelmann
A Survey of Un-, Weakly-, and Semi-Supervised Learning Methods for Noisy, Missing and Partial Labels in Industrial Vision Applications. SDS (2021)
Evelyne Knapp, Mattia Battaglia, Thilo Stadelmann, Sandra Jenatsch, Beat Ruhstaller
XGBoost Trained on Synthetic Data to Extract Material Parameters of Organic Semiconductors. SDS (2021)
Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
Is it Enough to Optimize CNN Architectures on ImageNet? CoRR (2021)
Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. CISP-BMEI (2021)
Dano Roost, Ralph Meier, Stephan Huschauer, Erik Nygren, Adrian Egli, Andreas Weiler, Thilo Stadelmann
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling. SDS (2020)
Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann
Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness. TAILOR (2020)
Lukas Tuggener, Yvan Putra Satyawan, Alexander Pacha, Jürgen Schmidhuber, Thilo Stadelmann
The DeepScoresV2 Dataset and Benchmark for Music Object Detection. ICPR (2020)
Stefan Glüge, Mohammadreza Amirian, Dandolo Flumini, Thilo Stadelmann
How (Not) to Measure Bias in Face Recognition Networks. ANNPR (2020)
Dano Roost, Ralph Meier, Stephan Huschauer, Erik Nygren, Adrian Egli, Andreas Weiler, Thilo Stadelmann
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling. CoRR (2020)
Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
Automated Machine Learning in Practice: State of the Art and Recent Results. CoRR (2019)
Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
Automated Machine Learning in Practice: State of the Art and Recent Results. SDS (2019)
Thilo Stadelmann, Sebastian Glinski-Haefeli, Patrick Gerber, Oliver Dürr
Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering. ANNPR (2018)
Feliks Hibraj, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo
Speaker Clustering Using Dominant Sets. ICPR (2018)
Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann
Learning Neural Models for End-to-End Clustering. ANNPR (2018)
Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann
Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps. ANNPR (2018)
Feliks Hibraj, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo
Speaker Clustering Using Dominant Sets. CoRR (2018)
Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann
DeepScores and Deep Watershed Detection: current state and open issues. CoRR (2018)
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
Deep Learning in the Wild. CoRR (2018)
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
Deep Learning in the Wild. ANNPR (2018)
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. ICPR (2018)
Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Durr, Thilo Stadelmann
Learning Neural Models for End-to-End Clustering. CoRR (2018)
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
Deep Watershed Detector for Music Object Recognition. CoRR (2018)
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
DeepScores - A Dataset for Segmentation, Detection and Classification of Tiny Objects. CoRR (2018)
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
Deep Watershed Detector for Music Object Recognition. ISMIR (2018)
Benjamin Bruno Meier, Thilo Stadelmann, Jan Stampfli, Marek Arnold, Mark Cieliebak
Fully Convolutional Neural Networks for Newspaper Article Segmentation. ICDAR (2017)
Yanick X. Lukic, Carlo Vogt, Oliver Durr, Thilo Stadelmann
Learning embeddings for speaker clustering based on voice equality. MLSP (2017)
Yanick X. Lukic, Carlo Vogt, Oliver Durr, Thilo Stadelmann
Speaker identification and clustering using convolutional neural networks. MLSP (2016)
Jean-Daniel Dessimoz, Jana Koehler, Thilo Stadelmann
AI in Switzerland. AI Mag. 36 (2) (2015)
Thilo Stadelmann, Mark Cieliebak, Kurt Stockinger
Toward Automatic Data Curation for Open Data. ERCIM News 2015 (100) (2015)
Kurt Stockinger, Thilo Stadelmann
Data Science für Lehre, Forschung und Praxis. HMD Prax. Wirtsch. 51 (4) (2014)
Christian Beecks, Thilo Stadelmann, Bernd Freisleben, Thomas Seidl
Visual speaker model exploration. ICME (2010)
Thilo Stadelmann, Yinghui Wang, Matthew Smith, Ralph Ewerth, Bernd Freisleben
Rethinking Algorithm Design and Development in Speech Processing. ICPR (2010)
Thilo Stadelmann, Bernd Freisleben
Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition. ICPR (2010)
Ernst Juhnke, Dominik Seiler, Thilo Stadelmann, Tim Dörnemann, Bernd Freisleben
LCDL: an extensible framework for wrapping legacy code. iiWAS (2009)
Steffen Heinzl, Markus Mathes, Thilo Stadelmann, Dominik Seiler, Marcel Diegelmann, Helmut Dohmann, Bernd Freisleben
The Web Service Browser: Automatic Client Generation and Efficient Data Transfer for Web Services. ICWS (2009)
Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, Bing Shi
University of Marburg at TRECVID 2009: High-Level Feature Extraction. TRECVID (2009)
Steffen Heinzl, Dominik Seiler, Ernst Juhnke, Thilo Stadelmann, Ralph Ewerth, Manfred Grauer, Bernd Freisleben
A scalable service-oriented architecture for multimedia analysis, synthesis and consumption. Int. J. Web Grid Serv. 5 (3) (2009)
Thilo Stadelmann, Bernd Freisleben
Unfolding speaker clustering potential: a biomimetic approach. ACM Multimedia (2009)
Dominik Seiler, Ralph Ewerth, Steffen Heinzl, Thilo Stadelmann, Markus Mühling, Bernd Freisleben, Manfred Grauer
Eine service-orientierte Grid-Infrastruktur zur Unterstützung medienwissenschaftlicher Filmanalyse. GeNeMe (2009)
Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, Bing Shi
University of Marburg at TRECVID 2008: High-Level Feature Extraction. TRECVID (2008)
Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Christian Zöfel, Bing Shi, Bernd Freisleben
University of Marburg at TRECVID 2007: Shot Boundary Detection and High Level Feature Extraction. TRECVID (2007)
Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, René Weber, Klaus Mathiak
Semantic video analysis for psychological research on violence in computer games. CIVR (2007)
Ralph Ewerth, Markus Mühling, Thilo Stadelmann, Ermir Qeli, Björn Agel, Dominik Seiler, Bernd Freisleben
University of Marburg at TRECVID 2006: Shot Boundary Detection and Rushes Task Results. TRECVID (2006)
Thilo Stadelmann, Bernd Freisleben
Fast and Robust Speaker Clustering Using the Earth Mover'S Distance and Mixmax Models. ICASSP (1) (2006)
Ralph Ewerth, Christian Beringer, Tobias Kopp, Michael Niebergall, Thilo Stadelmann, Bernd Freisleben
University of Marburg at TRECVID 2005: Shot Boundary Detection and Camera Motion Estimation Results. TRECVID (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thilo Stadelmann