| Semantic scene completion using local deep implicit functions on LiDAR data C Rist, D Emmerichs, M Enzweiler, D Gavrila IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 80 | 2021 |
| Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systems MR Zofka, F Kuhnt, R Kohlhaas, C Rist, T Schamm, JM Zöllner 2015 18th International Conference on Information Fusion (Fusion), 1422-1428, 2015 | 74 | 2015 |
| A Survey on Deep Domain Adaptation for LiDAR Perception LT Triess, M Dreissig, CB Rist, JM Zöllner arXiv preprint arXiv:2106.02377, 2021 | 72 | 2021 |
| Cross-sensor deep domain adaptation for LiDAR detection and segmentation CB Rist, M Enzweiler, DM Gavrila 2019 IEEE Intelligent Vehicles Symposium (IV), 1535-1542, 2019 | 50 | 2019 |
| Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study LT Triess, D Peter, CB Rist, JM Zöllner 2020 IEEE Intelligent Vehicles Symposium (IV), 1116-1121, 2020 | 49 | 2020 |
| SCSSnet: Learning Spatially-Conditioned Scene Segmentation on LiDAR Point Clouds CB Rist, D Schmidt, M Enzweiler, DM Gavrila 2020 IEEE Intelligent Vehicles Symposium (IV), 1086-1093, 2020 | 23 | 2020 |
| Real-time 3D LiDAR flow for autonomous vehicles SA Baur, F Moosmann, S Wirges, CB Rist 2019 IEEE Intelligent Vehicles Symposium (IV), 1288-1295, 2019 | 14 | 2019 |
| CNN-based synthesis of realistic high-resolution LiDAR data LT Triess, D Peter, CB Rist, M Enzweiler, JM Zöllner 2019 IEEE Intelligent Vehicles Symposium (IV), 1512-1519, 2019 | 13 | 2019 |
| Learning temporal features with CNNs for monocular visual ego motion estimation M Weber, C Rist, JM Zöllner 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 10 | 2017 |
