| SDC - Stacked Dilated Convolution: A unified descriptor network for dense matching tasks R Schuster, O Wasenmüller, C Unger, D Stricker Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 63 | 2019 |
| PWOC-3D: Deep occlusion-aware end-to-end scene flow estimation R Saxena, R Schuster, O Wasenmuller, D Stricker 2019 IEEE Intelligent Vehicles Symposium (IV), 324-331, 2019 | 54 | 2019 |
| SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences R Schuster, O Wasenmuller, G Kuschk, C Bailer, D Stricker 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1056-1065, 2018 | 51 | 2018 |
| HPERL: 3D Human Pose Estimation from RGB and LiDAR M Fürst, STP Gupta, R Schuster, O Wasenmüller, D Stricker 2020 25th International Conference on Pattern Recognition (ICPR), 7321-7327, 2021 | 40 | 2021 |
| Deeplidarflow: A deep learning architecture for scene flow estimation using monocular camera and sparse lidar. In 2020 IEEE R Rishav, R Battrawy, R Schuster, O Wasenmüller, D Stricker International Conference on Intelligent Robots and Systems (IROS), 10460-10467, 2020 | 37* | 2020 |
| Combining Stereo Disparity and Optical Flow for Basic Scene Flow R Schuster, C Bailer, O Wasenmüller, D Stricker Commercial Vehicle Technology 2018, 90-101, 2018 | 34 | 2018 |
| SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation R Schuster, O Wasenmuller, C Unger, D Stricker Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 33 | 2021 |
| LiDAR-Flow: Dense scene flow estimation from sparse lidar and stereo images R Battrawy, R Schuster, O Wasenmüller, Q Rao, D Stricker 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 31 | 2019 |
| FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation R Schuster, C Bailer, O Wasenmüller, D Stricker 2018 25th IEEE International Conference on Image Processing (ICIP), 1463-1467, 2018 | 28 | 2018 |
| Dynamic risk assessment for vehicles of higher automation levels by deep learning P Feth, MN Akram, R Schuster, O Wasenmüller Computer Safety, Reliability, and Security: SAFECOMP 2018 Workshops, ASSURE …, 2018 | 23 | 2018 |
| SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation R Schuster, O Wasenmueller, C Unger, G Kuschk, D Stricker INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019 | 22 | 2019 |
| Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation D Goswami, R Schuster, J van de Weijer, D Stricker Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 21 | 2023 |
| RMS-FlowNet++: Efficient and Robust Multi-scale Scene Flow Estimation for Large-Scale Point Clouds R Battrawy, R Schuster, D Stricker International Journal of Computer Vision, 1-22, 2024 | 18 | 2024 |
| A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions R Schuster, C Unger, D Stricker Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 14 | 2021 |
| ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching Rishav, R Schuster, R Battrawy, O Wasenmüller, D Stricker IEEE International Conference on Pattern Recongnition (ICPR), 2020, 2021 | 10* | 2021 |
| Dense Scene Flow from Stereo Disparity and Optical Flow R Schuster, O Wasenmüller, D Stricker ACM Computer Science in Cars Symposium (CSCS) 2, 2018 | 7 | 2018 |
| Multi-task Fusion for Efficient Panoptic-Part Segmentation SK Jagadeesh, R Schuster, D Stricker International Conference on Pattern Recognition Applications and Methods, 2023 | 6 | 2023 |
| ShapeAug: Occlusion Augmentation for Event Camera Data K Bendig, R Schuster, D Stricker arXiv preprint arXiv:2401.02274, 2024 | 5 | 2024 |
| Self-Superflow: Self-Supervised Scene Flow Prediction in Stereo Sequences K Bendig, R Schuster, D Stricker 2022 IEEE International Conference on Image Processing (ICIP), 481-485, 2022 | 3 | 2022 |
| MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow R Schuster, C Unger, D Stricker ACM Computer Science in Cars Symposium (CSCS) 4, 1-8, 2020 | 3 | 2020 |
Didier StrickerProfessor for Computer Science, University KaiserslauternVerified email at dfki.uni-kl.de
