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ORCIDThomas Stadelmayer
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2020 – today
- 2024
[b1]Thomas Stadelmayer:
Preprocessing and Classification Techniques for FMCW Radar and Deep Learning Based Indoor Motion Classification. University of Erlangen-Nuremberg, Germany, 2024- [j2]Muhammad Ghufran Janjua, Kevin Kaiser, Thomas Stadelmayer, Stephan Schoenfeldt, Vadim Issakov:
JEDAN: Joint Euclidean Distance and Autoencoder Network for Robust Out-of-Distribution Detection in Radar-Based Hand Gesture Recognition. IEEE Access 12: 196364-196381 (2024) - [j1]Thomas Stadelmayer
, Youcef Hassab, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz:
Lightweight and Person-Independent Radar-Based Hand Gesture Recognition for Classification and Regression of Continuous Gestures. IEEE Internet Things J. 11(9): 15285-15298 (2024) - [c8]Muhammad Ghufran Janjua, Kevin Kaiser, Thomas Stadelmayer, Stephan Schoenfeldt, Vadim Issakov:
CAN: Classification-Based Autoencoder Network for Enhanced Out-of-Distribution Detection in Radar-Based Hand Gesture Recognition. ICFSP 2024: 16-20 - 2023
- [c7]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille:
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. ICASSP 2023: 1-5 - [c6]Thomas Stadelmayer, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz:
Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning. RWS 2023: 44-47 - 2022
- [c5]Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra:
Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar. ICASSP 2022: 3883-3887 - [c4]Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille:
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. ICMLA 2022: 1476-1483 - [i4]Michael Stephan, Thomas Stadelmayer, Avik Santra, Georg Fischer, Robert Weigel, Fabian Lurz:
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation. CoRR abs/2207.06379 (2022) - [i3]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille:
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling. CoRR abs/2210.13545 (2022) - [i2]Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille:
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. CoRR abs/2210.14532 (2022) - 2021
- [c3]Thomas Stadelmayer, Avik Santra, Markus Stadelmayer, Robert Weigel, Fabian Lurz:
Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sine Filter on Radar Time Domain Data. EUSIPCO 2021: 1745-1749 - [i1]Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra:
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar. CoRR abs/2110.05876 (2021) - 2020
- [c2]Michael Stephan, Thomas Stadelmayer, Avik Santra, Georg Fischer, Robert Weigel, Fabian Lurz:
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation. ICPR 2020: 9529-9536 - [c1]Thomas Stadelmayer, Markus Stadelmayer, Avik Santra, Robert Weigel, Fabian Lurz:
Human Activity Classification Using mm-Wave FMCW Radar by Improved Representation Learning. mmNets 2020: 1:1-1:6
Coauthor Index
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