LDFA: Latent Diffusion Face Anonymization for Self-driving Applications M Klemp, K Rösch, R Wagner, J Quehl, M Lauer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
Improved Target Detection through DNN-based Multi-channel Interference Mitigation in Automotive Radar S Chen, M Klemp, J Taghia, U Kühnau, N Pohl, R Martin IEEE Transactions on Radar Systems, 2023 | 5 | 2023 |
An approach to systematic data acquisition and data-driven simulation for the safety testing of automated driving functions L Eisemann, M Fehling–Kaschek, H Gommel, D Hermann, M Klemp, ... 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
Road Barlow Twins: Redundancy Reduction for Motion Prediction R Wagner, M Klemp, CF Lopez, OS Tas ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023 | 1 | 2023 |
End-to-End Trainable Deep Neural Network for Radar Interference Detection and Mitigation M Klemp, S Chen, R Wagner, M Lauer 2023 IEEE International Radar Conference (RADAR), 1-6, 2023 | | 2023 |
Efficient Multi-channel Automotive Radar Interference Mitigation Using Pruned and Quantized Neural Networks S Chen, M Klemp, J Taghia, R Martin 2023 IEEE International Radar Conference (RADAR), 1-6, 2023 | | 2023 |
Road Barlow Twins: Redundancy Reduction for Road Environment Descriptors and Motion Prediction R Wagner, OS Tas, M Klemp, CF Lopez arXiv preprint arXiv:2306.10840, 2023 | | 2023 |
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features R Wagner, M Klemp, CF Lopez arXiv preprint arXiv:2306.07087, 2023 | | 2023 |