| SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark S Dias Da Cruz, O Wasenmüller, HP Beise, T Stifter, D Stricker Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 60* | 2020 |
| A Theoretical Investigation of the Detection of Vital Signs in Presence of Car Vibrations and RADAR-Based Passenger Classification S Dias Da Cruz, HP Beise, U Schröder, U Karahasanovic IEEE Transactions on Vehicular Technology 68 (4), 3374-3385, 2019 | 28 | 2019 |
| On decision regions of narrow deep neural networks HP Beise, S Dias Da Cruz, U Schröder Neural Networks 140, 121-129, 2021 | 22 | 2021 |
| Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification S Dias Da Cruz, B Taetz, O Wasenmüller, T Stifter, D Stricker 2021 IEEE Intelligent Vehicles Symposium (IV), 1296-1303, 2021 | 7 | 2021 |
| Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function S Dias Da Cruz, B Taetz, T Stifter, D Stricker Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 7* | 2020 |
| Autoencoder for Synthetic to Real Generalization: From Simple to More Complex Scenes S Dias Da Cruz, B Taetz, T Stifter, D Stricker International Conference on Pattern Recognition (ICPR), 10.1109/ICPR56361 …, 2022 | 4* | 2022 |
| Expressiveness of Neural Networks Having Width Equal or Below the Input Dimension HP Beise, S Dias Da Cruz arXiv preprint arXiv:2011.04923, 2020 | 4 | 2020 |
| Detection of Vital Signs in Presence of Car Vibrations and RADAR-Based Passenger Classification S Dias Da Cruz, HP Beise, U Schröder, U Karahasanovic 2018 19th International Radar Symposium (IRS), 1-10, 2018 | 4 | 2018 |
| Autoencoder and Partially Impossible Reconstruction Losses S Dias Da Cruz, B Taetz, T Stifter, D Stricker Sensors 22 (13), 4862, 2022 | 3 | 2022 |
| Autoencoder Attractors for Uncertainty Estimation S Dias Da Cruz, B Taetz, T Stifter, D Stricker International Conference on Pattern Recognition (ICPR), 10.1109/ICPR56361 …, 2022 | 2 | 2022 |
| System and method for radar-based determination of a number of passengers inside a vehicle passenger compartment S Dias Da Cruz, HP Beise, U Karahasanovic US Patent App. 16/630,778, 2021 | 2* | 2021 |
| Topological properties of basins of attraction and expressiveness of width bounded neural networks HP Beise, S Dias Da Cruz arXiv preprint arXiv:2011.04923, 2020 | 2 | 2020 |
| An Overview of the SVIRO Dataset and Benchmark S Dias Da Cruz, O Wasenmüller, HP Beise, T Stifter, D Stricker ACM Computer Science in Cars Symposium (CSCS), 2019 | 1* | 2019 |
| Topological properties of basins of attraction of width bounded autoencoders HP Beise, SD Da Cruz Analysis and Applications, 1-16, 2024 | | 2024 |
| Towards Reliable Computer Vision Feature Extraction by Novel Autoencoder Methods S DIAS DA CRUZ Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023 | | 2023 |
| Method and system for processing neural network predictions in the presence of adverse perturbations HP Beise, U Schröder, SD DA CRUZ, J Sokolowski US Patent App. 17/420,776, 2022 | | 2022 |
Hans-Peter BeiseTrier University of Applied SciencesVerified email at hochschule-trier.de
