Lukas Koestler
Lukas Koestler
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Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
Deep Event Visual Odometry
S Klenk, M Motzet, L Koestler, D Cremers
arXiv preprint arXiv:2312.09800, 2023
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