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Computer Vision & Artificial Intelligence
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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Lukas Koestler

PhD student

Technical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17763
Fax: +49-89-289-17757
Office: 02.09.038
Mail: koestlel@in.tum.de

Please also see my personal webpage.

Publications


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Journal Articles
2023
[]E-nerf: Neural radiance fields from a moving event camera (S Klenk, L Koestler, D Scaramuzza and D Cremers), In IEEE Robotics and Automation Letters, IEEE, volume 8, 2023. ([project page]) [bibtex] [pdf]
Conference and Workshop Papers
2024
[]Masked Event Modeling: Self-Supervised Pretraining for Event Cameras (S Klenk, D Bonello, L Koestler, N Araslanov and D Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2024.  [bibtex] [arXiv:2212.10368] [pdf]
2023
[]Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares (D Muhle, L Koestler, KM Jatavallabhula and D Cremers), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023. ([project page]) [bibtex] [arXiv:2305.09527] [pdf]
[]Neural Implicit Representations for Physical Parameter Inference from a Single Video (F Hofherr, L Koestler, F Bernard and D Cremers), In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. ([project page]) [bibtex] [arXiv:2204.14030]
2022
[]Intrinsic Neural Fields: Learning Functions on Manifolds (L Koestler, D Grittner, M Moeller, D Cremers and Z Lähner), In European Conference on Computer Vision (ECCV), 2022. (Code will be released soon.) [bibtex] [arXiv:2203.07967] [pdf]
[]The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions (D Muhle, L Koestler, N Demmel, F Bernard and D Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. ([project page]) [bibtex] [arXiv:2204.02256] [pdf]
2021
[]TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo (L Koestler, N Yang, N Zeller and D Cremers), In Conference on Robot Learning (CoRL), 2021. ([GitHub][video][project page]) [bibtex] [arXiv:2111.07418] [pdf]3DV'21 Best Demo Award
2020
[]Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels (L. Koestler, N. Yang, R. Wang and D. Cremers), In Proceedings of the German Conference on Pattern Recognition (GCPR), 2020. ([project page][video]) [bibtex] [pdf]
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Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group