Felix Ott

Orcid: 0000-0002-4392-0830

Affiliations:
  • Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits, Precise Positioning and Analytics Department, Nuremberg, Germany
  • Ludwig Maximilian University of Munich, Germany (PhD 2023)


According to our database1, Felix Ott authored at least 19 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fusing structure from motion and simulation-augmented pose regression from optical flow for challenging indoor environments.
J. Vis. Commun. Image Represent., 2024

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification.
CoRR, 2024

Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling.
CoRR, 2024

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation.
CoRR, 2024

Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization.
CoRR, 2024

Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning.
CoRR, 2024

Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data.
Proceedings of the International Conference on Localization and GNSS, 2024

2023
Low-Cost COTS GNSS Interference Monitoring, Detection, and Classification System.
Sensors, April, 2023

Representation learning for domain adaptation and cross-modal retrieval: in the context of online handwriting recognition and visual self-localization.
PhD thesis, 2023

Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition.
IEEE Access, 2023

2022
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.
Int. J. Document Anal. Recognit., 2022

Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression.
CoRR, 2022

Cross-Modal Common Representation Learning with Triplet Loss Functions.
CoRR, 2022

Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Uncertainty-aware Evaluation of Time-series Classification for Online Handwriting Recognition with Domain Shift.
Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022) co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, 2022

Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2020
The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


  Loading...