| The OnHW Dataset: Online Handwriting Recognition from IMU-enhanced Ballpoint Pens with Machine Learning F Ott, M Wehbi, T Hamann, J Barth, B Eskofier, C Mutschler Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 41 | 2020 |
| Estimating TOA Reliability with Variational Autoencoders M Stahlke, S Kram, F Ott, T Feigl, C Mutschler IEEE Sensors Journal 22 (6), 5133-5140, doi: 10.1109/JSEN.2021.310193, 2022 | 30 | 2022 |
| ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization F Ott, T Feigl, C Löffler, C Mutschler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 29 | 2020 |
| Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift F Ott, D Rügamer, L Heublein, B Bischl, C Mutschler Proceedings of the ACM Multimedia (ACMMM), Lisboa, Portugal, doi: https://dl …, 2022 | 23 | 2022 |
| Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach F Ott, D Rügamer, L Heublein, B Bischl, C Mutschler Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 19 | 2022 |
| Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition F Ott, D Rügamer, L Heublein, B Bischl, C Mutschler IEEE Access 11 (doi: 10.1109/ACCESS.2023.3310819), pages 94148 - 94172, 2023 | 17* | 2023 |
| Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens F Ott, D Rügamer, L Heublein, T Hamann, J Barth, B Bischl, C Mutschler International Journal on Document Analysis and Recognition (IJDAR) 25 (12 …, 2022 | 15 | 2022 |
| Low-Cost COTS GNSS Interference Monitoring, Detection, and Classification System JR van der Merwe, D Contreras Franco, J Hansen, T Brieger, T Feigl, F Ott, ... Sensors 23 (7), 3452, 2023 | 11 | 2023 |
| Multimodal Learning for Reliable Interference Classification in GNSS Signals T Brieger, NL Raichur, D Jdidi, F Ott, T Feigl, J Merwe, A Rugamer, ... Proceedings of the 35th International Technical Meeting of the Satellite …, 2022 | 11 | 2022 |
| Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift A Klaß, SM Lorenz, MW Lauer-Schmaltz, D Rügamer, B Bischl, ... IJCAI-ECAI Intl. Workshop on Spatio-Temporal Reasoning and Learning (STRL …, 2022 | 9 | 2022 |
| Machine Learning-assisted GNSS Interference Monitoring through Crowdsourcing NL Raichur, T Brieger, D Jdidi, T Feigl, J Merwe, B Ghimire, F Ott, ... Proceedings of the 35th International Technical Meeting of the Satellite …, 2022 | 7 | 2022 |
| Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition F Ott, D Rügamer, L Heublein, B Bischl, C Mutschler IAPR Intl. Workshop on Multimodal Pattern Recognition of Social Signals in …, 2022 | 3 | 2022 |
| Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments F Ott, L Heublein, D Rügamer, B Bischl, C Mutschler Elsevier Journal of Visual Communication and Image Representation (JVCIR …, 2024 | 2 | 2024 |
| Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data F Ott, L Heublein, NL Raichur, T Feigl, J Hansen, A Rügamer, C Mutschler Intl. Conf. on Localization and GNSS (ICL-GNSS), Antwerp, Belgium, doi:10 …, 2024 | 2 | 2024 |
| Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression F Ott, NL Raichur, D Rügamer, T Feigl, H Neumann, B Bischl, C Mutschler arXiv preprint arXiv:2208.00919, doi: 10.48550/arXiv.2208.00919, 2022 | 2 | 2022 |
| Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning NL Raichur, L Heublein, T Feigl, A Rügamer, C Mutschler, F Ott arXiv preprint arXiv:2405.11067, 2024 | 1 | 2024 |
| Representation Learning for Domain Adaptation and Cross-Modal Retrieval F Ott Ludwig-Maximilians-Universität München, Dissertation, doi: 10.5282/edoc.32467, 2023 | 1 | 2023 |
| Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization L Heublein, T Feigl, T Nowak, A Rügamer, C Mutschler, F Ott arXiv preprint arXiv:2409.15114, 2024 | | 2024 |
| Research Avenues for GNSS Interference Classification Robustness: Domain Adaptation, Continual Learning & Federated Learning F Ott, L Heulein, T Feigl European Conference on Machine Learning and Principles and Practice of …, 2024 | | 2024 |
| Sequence-based Learning C Löffler, F Ott, J Ott, MP Oppelt, T Feigl Unlocking Artificial Intelligence, doi: 10.1007/978-3-031-64832-8_2, 27-47, 2024 | | 2024 |
Christopher MutschlerDirector Positioning & Networks, Fraunhofer IIS在 iis.fraunhofer.de 的电子邮件经过验证
