| TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo L Koestler, N Yang, N Zeller, D Cremers 5th Annual Conference on Robot Learning, 2021 | 73 | 2021 |
| E-nerf: Neural radiance fields from a moving event camera S Klenk, L Koestler, D Scaramuzza, D Cremers IEEE Robotics and Automation Letters 8 (3), 1587-1594, 2023 | 41 | 2023 |
| Intrinsic neural fields: Learning functions on manifolds L Koestler, D Grittner, M Moeller, D Cremers, Z Lähner European Conference on Computer Vision, 622-639, 2022 | 21 | 2022 |
| Masked event modeling: Self-supervised pretraining for event cameras S Klenk, D Bonello, L Koestler, N Araslanov, D Cremers Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 13 | 2024 |
| Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels L Koestler, N Yang, R Wang, D Cremers German Conference on Pattern Recognition (GCPR), 2020 | 11 | 2020 |
| Deep event visual odometry S Klenk, M Motzet, L Koestler, D Cremers 2024 International Conference on 3D Vision (3DV), 739-749, 2024 | 6 | 2024 |
| Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares D Muhle, L Koestler, KM Jatavallabhula, D Cremers Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Neural Implicit Representations for Physical Parameter Inference from a Single Video F Hofherr, L Koestler, F Bernard, D Cremers Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions D Muhle, L Koestler, N Demmel, F Bernard, D Cremers IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 6 | 2022 |
Daniel CremersTechnical University of MunichVerified email at tum.de
