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Kanil Patel
Kanil Patel
Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
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
1222019
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
332020
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
242019
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
102021
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
92018
Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention
K Patel, S Groeschel, T Schultz
52018
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
22023
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
12022
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
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