Thomas Stadelmayer

15 papers B 1C 1Misc 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
CAN: Classification-Based Autoencoder Network for Enhanced Out-of-Distribution Detection in Radar-Based Hand Gesture Recognition.
ICFSP
Muhammad Ghufran Janjua, Kevin Kaiser, Thomas Stadelmayer, Stephan Schoenfeldt, Vadim Issakov
2024 J jnl
JEDAN: Joint Euclidean Distance and Autoencoder Network for Robust Out-of-Distribution Detection in Radar-Based Hand Gesture Recognition.
IEEE Access
Muhammad Ghufran Janjua, Kevin Kaiser, Thomas Stadelmayer, Stephan Schoenfeldt, Vadim Issakov
2024 J jnl
Lightweight and Person-Independent Radar-Based Hand Gesture Recognition for Classification and Regression of Continuous Gestures.
IEEE Internet Things J.
Thomas Stadelmayer, Youcef Hassab, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz
2024 — —
Preprocessing and Classification Techniques for FMCW Radar and Deep Learning Based Indoor Motion Classification.
Thomas Stadelmayer
2023 Misc conf
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling.
ICASSP
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
2023 — conf
Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning.
RWS
Thomas Stadelmayer, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz
2022 Misc conf
Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar.
ICASSP
Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
2022 J jnl
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling.
CoRR
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
2022 J jnl
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation.
CoRR
Michael Stephan, Thomas Stadelmayer, Avik Santra, Georg Fischer, Robert Weigel, Fabian Lurz
2022 C conf
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking.
ICMLA
Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille
2022 J jnl
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking.
CoRR
Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille
2021 — conf
Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sine Filter on Radar Time Domain Data.
EUSIPCO
Thomas Stadelmayer, Avik Santra, Markus Stadelmayer, Robert Weigel, Fabian Lurz
2021 J jnl
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar.
CoRR
Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
2020 — conf
Human Activity Classification Using mm-Wave FMCW Radar by Improved Representation Learning.
mmNets
Thomas Stadelmayer, Markus Stadelmayer, Avik Santra, Robert Weigel, Fabian Lurz
2020 B conf
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation.
ICPR
Michael Stephan, Thomas Stadelmayer, Avik Santra, Georg Fischer, Robert Weigel, Fabian Lurz