| Radar-based human target detection using deep residual u-net for smart home applications M Stephan, A Santra 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 47 | 2019 |
| Radar image reconstruction from raw adc data using parametric variational autoencoder with domain adaptation M Stephan, T Stadelmayer, A Santra, G Fischer, R Weigel, F Lurz 2020 25th International Conference on Pattern Recognition (ICPR), 9529-9536, 2021 | 13 | 2021 |
| Label-aware ranked loss for robust people counting using automotive in-cabin radar L Servadei, H Sun, J Ott, M Stephan, S Hazra, T Stadelmayer, DS Lopera, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 12 | 2022 |
| People counting solution using an FMCW radar with knowledge distillation from camera data M Stephan, S Hazra, A Santra, R Weigel, G Fischer 2021 IEEE Sensors, 1-4, 2021 | 11 | 2021 |
| Human target detection and localization with radars using deep learning M Stephan, A Santra, G Fischer Deep Learning Applications, Volume 2, 173-197, 2021 | 11 | 2021 |
| Cross-modal learning of graph representations using radar point cloud for long-range gesture recognition S Hazra, H Feng, GN Kiprit, M Stephan, L Servadei, R Wille, R Weigel, ... 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2022 | 8 | 2022 |
| Evaluation of antenna calibration and DOA estimation algorithms for FMCW radars M Stephan, K Wang, T Reissland, R Weigel, K Wu, F Lurz 2019 49th European Microwave Conference (EuMC), 944-947, 2019 | 8 | 2019 |
| Scene-adaptive radar tracking with deep reinforcement learning M Stephan, L Servadei, J Arjona-Medina, A Santra, R Wille, G Fischer Machine Learning with Applications 8, 100284, 2022 | 7 | 2022 |
| Utilizing explainable ai for improving the performance of neural networks H Sun, L Servadei, H Feng, M Stephan, A Santra, R Wille 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 5 | 2022 |
| Methods and techniques in deep learning: advancements in Mmwave Radar solutions A Santra, S Hazra, L Servadei, T Stadelmayer, M Stephan, A Dubey John Wiley & Sons, 2022 | 2 | 2022 |
| MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling J Ott, L Servadei, J Arjona-Medina, E Rinaldi, G Mauro, DS Lopera, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Deep Reinforcement Learning A Santra, S Hazra, L Servadei, T Stadelmayer, M Stephan, A Dubey Wiley-IEEE Press, 2023 | 1 | 2023 |
| Signal Processing with Deep Learning A Santra, S Hazra, L Servadei, T Stadelmayer, M Stephan, A Dubey Wiley-IEEE Press, 2023 | 1 | 2023 |
| People Counting Based on Radar Measurement L Servadei, S Hazra, J Ott, A Santra, SUN Huawei, M Stephan US Patent App. 18/317,749, 2023 | | 2023 |
| Radar-based target set generation A Santra, L Remont, M Stephan US Patent 11,719,787, 2023 | | 2023 |
| Scene-Adaptive Radar L Servadei, M Stephan, A Santra US Patent App. 17/396,032, 2023 | | 2023 |
| Deep Learning-based Resilient People Counting and Localization using a 60 GHz FMCW Radar M Stephan | | 2023 |
| Bayesian Deep Learning A Santra, S Hazra, L Servadei, T Stadelmayer, M Stephan, A Dubey Wiley-IEEE Press, 2023 | | 2023 |
| Geometric Deep Learning A Santra, S Hazra, L Servadei, T Stadelmayer, M Stephan, A Dubey Wiley-IEEE Press, 2023 | | 2023 |
| Domain Adaptation A Santra, S Hazra, L Servadei, T Stadelmayer, M Stephan, A Dubey Wiley-IEEE Press, 2023 | | 2023 |
