| Complex signal denoising and interference mitigation for automotive radar using convolutional neural networks J Rock, M Toth, E Messner, P Meissner, F Pernkopf 2019 22th International Conference on Information Fusion (FUSION), 1-8, 2019 | 55 | 2019 |
| Resource-efficient deep neural networks for automotive radar interference mitigation J Rock, W Roth, M Toth, P Meissner, F Pernkopf IEEE Journal of Selected Topics in Signal Processing 15 (4), 927-940, 2021 | 45 | 2021 |
| Deep interference mitigation and denoising of real-world fmcw radar signals J Rock, M Toth, P Meissner, F Pernkopf 2020 IEEE International Radar Conference (RADAR), 624-629, 2020 | 34 | 2020 |
| Complex-valued convolutional neural networks for enhanced radar signal denoising and interference mitigation A Fuchs, J Rock, M Toth, P Meissner, F Pernkopf 2021 IEEE Radar Conference (RadarConf21), 1-6, 2021 | 31 | 2021 |
| Analysis of automotive radar interference mitigation for real-world environments M Toth, J Rock, P Meissner, A Melzer, K Witrisal 2020 17th European Radar Conference (EuRAD), 176-179, 2021 | 12 | 2021 |
| CNNs for interference mitigation and denoising in automotive radar using real-world data J Rock, M Toth, P Meissner, F Pernkopf Machine Learning for Autonomous Driving Workshop at the 33rd Conference on …, 2019 | 7 | 2019 |
| On efficient uncertainty estimation for resource-constrained mobile applications J Rock, T Azevedo, R de Jong, D Ruiz-Muñoz, P Maji arXiv preprint arXiv:2111.09838, 2021 | 4 | 2021 |
| FMCW radar with interference signal suppression using artificial neural network P Meissner, F Pernkopf, J Rock, W Roth, MA Toth, A Fuchs US Patent 11,907,829, 2024 | 3 | 2024 |
| Quantized neural networks for radar interference mitigation J Rock, W Roth, P Meissner, F Pernkopf arXiv preprint arXiv:2011.12706, 2020 | 3 | 2020 |
| Fmcw radar with interference signal suppression using artificial neural network P Meissner, F Pernkopf, J Rock, W Roth, MA Toth US Patent App. 16/923,916, 2020 | 3 | 2020 |
| Fast and resource-efficient cnns for radar interference mitigation on embedded hardware M Hirschmugl, J Rock, P Meissner, F Pernkopf 2022 19th European Radar Conference (EuRAD), 1-4, 2022 | 2 | 2022 |
| Towards Abductive Reasoning-Based ComputationalDesign Tools: Using Machine Learning as a way to explore the combined design spaces of multiple parametric models A Sebestyen, J Rock, UL Hirschberg 39th eCAADe Conference: Education and Research in Computer Aided …, 2021 | 2 | 2021 |
| FMCW radar with interference signal suppression using artificial neural network P Meissner, E Messner, F Pernkopf, J Rock, MA Toth US Patent 11,885,903, 2024 | | 2024 |
| Quantized Deep Neural Networks for Radar Interference Mitigation J Rock, W Roth, P Meissner, F Pernkopf 2020 European Conference on Machine Learning-ITEM Workshop, 2020 | | 2020 |
| Towards Abductive Reasoning-Based Computational Design Tools A Sebestyen, J Rock, UL Hirschberg | | |
| ISSUE ON RECENT ADVANCES IN AUTOMOTIVE RADAR SIGNAL PROCESSING P Heidenreich, A Zoubir, I Bilik, M Greco, M Torlak, F Engels, ... | | |
