Deep Learning-based Object Classification on Automotive Radar Spectra K Patel, K Rambach, T Visentin, D Rusev, M Pfeiffer, B Yang IEEE Radar Conference 2019 (Best Student Paper Finalist), 2019 | 130 | 2019 |
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning K Patel, W Beluch, B Yang, M Pfeiffer, D Zhang International Conference on Learning Representations, ICLR 2021, 2020 | 34 | 2020 |
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration K Patel, W Beluch, D Zhang, M Pfeiffer, B Yang International Conference on Pattern Recognition, ICPR 2020 (Best Industry …, 2019 | 26 | 2019 |
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra K Patel, W Beluch, K Rambach, AE Cozma, M Pfeiffer, B Yang 2021 IEEE Radar Conference (RadarConf21) (Oral Presentation), 1-6, 2021 | 14 | 2021 |
Better Fiber ODFs From Suboptimal Data with Autoencoder Based Regularization K Patel, S Groeschel, T Schultz Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 9 | 2018 |
Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention K Patel, S Groeschel, T Schultz | 5 | 2018 |
Validation of Composite Systems by Discrepancy Propagation D Reeb, K Patel, K Barsim, M Schiegg, S Gerwinn Conference on Uncertainty in Artificial Intelligence (UAI) 2023 (Spotlight …, 2023 | 2 | 2023 |
Locating and/or classifying objects based on radar data, with improved reliability at different distances K Patel, K Rambach, M Pfeiffer US Patent 11,269,059, 2022 | 1 | 2022 |
Method for validating or verifying a technical system D Reeb, K Patel, KSM Barsim, M Schiegg, S Gerwinn US Patent App. 18/460,016, 2024 | | 2024 |
Method for validating or verifying a technical system D Reeb, K Patel, KSM Barsim, M Schiegg, S Gerwinn US Patent App. 18/463,391, 2024 | | 2024 |
Method for validating or verifying a technical system D Reeb, K Patel, KSM Barsim, M Kandemir, S Gerwinn US Patent App. 18/164,419, 2023 | | 2023 |
On-the-fly Calibration of an Image Classifier K Patel, L Zhong US Patent App. 17/885,046, 2023 | | 2023 |
Training of classifiers and/or regressors on uncertain training data K Patel US Patent App. 17/656,453, 2022 | | 2022 |
Measuring the performance of radar, ultrasound or audio classifiers K Patel US Patent App. 17/655,896, 2022 | | 2022 |
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing BY Kanil Patel, William Beluch, Kilian Rambach, Michael Pfeiffer IEEE Radar Conference (RadarConf22), 1-6, 2022 | | 2022 |
Improving Automotive Radar Spectra Object Classification using Deep Learning and Multi-class Uncertainty Calibration K Patel University of Stuttgart, 2022 | | 2022 |
Classification Model Calibration D Zhang, K Patel, WH Beluch US Patent App. 17/240,108, 2021 | | 2021 |
Validation of Composite Systems by Discrepancy Propagation (Supplementary Material) D Reeb, K Patel, K Barsim, M Schiegg, S Gerwinn | | |
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Download PDF K Patel, W Beluch, B Yang, M Pfeiffer, D Zhang International Conference on Learning Representations, ICLR 2021, 0 | | |