Michael Stephan

17 papers B 2C 3Misc 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 B conf
PARAGRAPH: Phase-Aware Resource Demand Profiling for HPDA/HPC Jobs.
ICPE
Ivo Rohwer, Nikolas Herbst, Maximilian Schwinger, Peter Friedl, Michael Stephan, Samuel Kounev
2024 — conf
Resource Demand Profiling of Monolithic Workflows.
ICPE (Companion)
Ivo Rohwer, Maximilian Schwinger, Nikolas Herbst, Peter Friedl, Michael Stephan, Samuel Kounev
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
2022 — conf
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition.
SAM
Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra
2022 J jnl
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition.
CoRR
Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra
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
Utilizing Explainable AI for improving the Performance of Neural Networks.
ICMLA
Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Avik Santra, Robert Wille
2022 J jnl
Utilizing Explainable AI for improving the Performance of Neural Networks.
CoRR
Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Robert Wille, Avik Santra
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
2021 — conf
People Counting Solution Using an FMCW Radar with Knowledge Distillation From Camera Data.
IEEE SENSORS
Michael Stephan, Souvik Hazra, Avik Santra, Robert Weigel, Georg Fischer
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
2019 C conf
Radar-Based Human Target Detection using Deep Residual U-Net for Smart Home Applications.
ICMLA
Michael Stephan, Avik Santra
2013 C conf
Using GPFS to Manage NVRAM-Based Storage Cache.
ISC
Salem El Sayed, Stephan Graf, Michael Hennecke, Dirk Pleiter, Georg Schwarz, Heiko Schick, Michael Stephan
2008 — conf
Mensch-Computer-Interaktion in der operativen Medizin.
MuC (Workshopband)
Werner Korb, Michael Stephan, Gero Strauß
2008 J jnl
Modularity in cooperative product development: the case of the MCC 'smart' car.
Int. J. Technol. Manag.
Michael Stephan, Eric Pfaffmann, Ron Sanchez