Author

Felix Ott

Observed names: F. Ott, Felix Erdmann Ott, Ott, Felix

Institutions: Fraunhofer Institute for Integrated Circuits, University of Technology Nuremberg

Observed institutions: Fraunhofer Institute for Integrated Circuits IIS, Division Engineering of Adaptive Systems EAS, Fraunhofer Institute for Integrated Circuits, University of Technology Nuremberg, Munich Center for Machine Learning, Fraunhofer-Gesellschaft, Ludwig-Maximilians-Universität München

ORCID: 0000-0002-4392-0830

Observed ORCID: 0000-0002-4392-0830

OpenAlex ID: A5049110928

The OnHW Dataset

2020 · Felix Ott, Mohamad Wehbi, et al. · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 38

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift

2022 · Felix Ott, David Rügamer, et al. · ACM International Conference on Multimedia (ACM MM) · 35

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Estimating TOA Reliability With Variational Autoencoders

2021 · Maximilian Stahlke, Sebastian Kram, et al. · IEEE Sensors Journal · 35

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Low-Cost COTS GNSS Interference Monitoring, Detection, and Classification System

2023 · Johannes Rossouw van der Merwe, David Contreras Franco, et al. · Sensors · 34

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Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens

2022 · Felix Ott, David Rügamer, et al. · International Journal on Document Analysis and Recognition (IJDAR) · 27

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Multimodal Learning for Reliable Interference Classification in GNSS Signals

2022 · Tobias Brieger, Nisha Lakshmana Raichur, et al. · Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM) · 26

Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach

2022 · Felix Ott, David Rugamer, et al. · IEEE Winter Conference on Applications of Computer Vision · 24

ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization

2020 · Felix Ott, Tobias Feigl, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 23

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Machine Learning-assisted GNSS Interference Monitoring through Crowdsourcing

2022 · Nisha Lakshmana Raichur, Tobias Brieger, et al. · Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM) · 20

Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition

2023 · Felix Ott, David Rügamer, et al. · IEEE Access · 16

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Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data

2024 · Felix Ott, Lucas Heublein, et al. · International Conference on Localization and GNSS · 14

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Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies

2024 · Lucas Heublein, Nisha L. Raichur, et al. · Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM) · 12

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Fusing structure from motion and simulation-augmented pose regression from optical flow for challenging indoor environments

2024 · Felix Ott, Lucas Heublein, et al. · Journal of Visual Communication and Image Representation · 11

Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization

2025 · Lucas Heublein, Tobias Feigl, et al. · International Conference on Localization and GNSS · 10

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Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization

2025 · Harshith Manjunath, Lucas Heublein, et al. · IEEE Wireless Communications and Networking Conference · 10

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification

2025 · Nishant S. Gaikwad, Lucas Heublein, et al. · IEEE/IFIP Network Operations and Management Symposium (NOMS) · 9

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Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning

2024 · Raichur, Nisha L., Heublein, Lucas, et al. · arXiv (Cornell University) · 7

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Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling

2024 · Heublein, Lucas, Feigl, Tobias, et al. · arXiv (Cornell University) · 6

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Cross-Modal Common Representation Learning with Triplet Loss Functions

2022 · Felix Ott, David Rugamer, et al. · 6

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Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition

2023 · Felix Ott, David Rügamer, et al. · Lecture notes in computer science · 4

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Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression

2022 · Ott, Felix, Raichur, Nisha Lakshmana, et al. · arXiv (Cornell University) · 4

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Vae-Based Feature Disentanglement for Data Augmentation and Compression in Generalized Gnss Interference Classification

2025 · Lucas Heublein, Simon Kocher, et al. · International Conference on Localization and GNSS · 3

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5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization

2025 · Nisha L. Raichur, Lucas Heublein, et al. · International Conference on Localization and GNSS · 3

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Metric-Based Few-Shot Learning With Triplet Selection for Adaptive GNSS Interference Classification

2025 · Felix Ott, Lucas Heublein, et al. · IEEE Journal of Indoor and Seamless Positioning and Navigation · 3

Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization

2025 · Lucas Heublein, Christian Wielenberg, et al. · IEEE Radar Conference (RadarConf) · 2

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Works count: 56

Citation count: 387

H-index: 12

I10-index: 15