Lucas Heublein

According to our database, Lucas Heublein authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Felix Ott, Lucas Heublein, David Rügamer, Bernd Bischl, Christopher Mutschler

J. Vis. Commun. Image Represent., 2024

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

Lucas Heublein, Tobias Feigl, Thorsten Nowak, Alexander Rügamer, Christopher Mutschler, Felix Ott

CoRR, 2024

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

Nisha Lakshmana Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott

CoRR, 2024

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

Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler

Proceedings of the International Conference on Localization and GNSS, 2024

2023

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

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

IEEE Access, 2023

2022

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

Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler

Int. J. Document Anal. Recognit., 2022

Cross-Modal Common Representation Learning with Triplet Loss Functions.

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

CoRR, 2022

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

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift.

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

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

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022