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PhD student
Technical University of MunichSchool of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany
Fax: +49-89-289-17757
Mail: Lukas.Koestler@tum.de
Please also see my personal webpage and my twitter account.
Student Projects
I am founding a startup for 3D computer vision and AI and we are actively looking for the best engineers and researchers to join us! We can offer a wide range of positions including full-time, working student, IDP, and BA/MA thesis. If that sounds interesting please contact me directly by mail and highlight your relevant experience and programming skills.
Publications
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Journal Articles
2023
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E-nerf: Neural radiance fields from a moving event camera , In IEEE Robotics and Automation Letters, IEEE, volume 8, 2023. ([project page])
Conference and Workshop Papers
2024
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Deep event visual odometry , In 2024 International conference on 3D vision (3DV), 2024. ([github])
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Masked Event Modeling: Self-Supervised Pretraining for Event Cameras , In IEEE Winter Conference on Applications of Computer Vision (WACV), 2024. ([github])
2023
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Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares , In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023. ([project page])
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Neural Implicit Representations for Physical Parameter Inference from a Single Video , In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. ([project page])
Spotlight Presentation
2022
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Intrinsic Neural Fields: Learning Functions on Manifolds , In European Conference on Computer Vision (ECCV), 2022. (Code will be released soon.)
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The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. ([project page])
2021
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TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo , In Conference on Robot Learning (CoRL), 2021. ([GitHub][video][project page])
3DV'21 Best Demo Award
2020
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Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels , In Proceedings of the German Conference on Pattern Recognition (GCPR), 2020. ([project page][video])
