Lukas Koestler

According to our database, Lukas Koestler authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Masked Event Modeling: Self-Supervised Pretraining for Event Cameras.

Simon Klenk, David Bonello, Lukas Koestler, Nikita Araslanov, Daniel Cremers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

E-NeRF: Neural Radiance Fields From a Moving Event Camera.

Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers

IEEE Robotics Autom. Lett., March, 2023

Deep Event Visual Odometry.

Simon Klenk, Marvin Motzet, Lukas Koestler, Daniel Cremers

CoRR, 2023

Neural Implicit Representations for Physical Parameter Inference from a Single Video.

Florian Hofherr, Lukas Koestler, Florian Bernard, Daniel Cremers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares.

Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Masked Event Modeling: Self-Supervised Pretraining for Event Cameras.

Simon Klenk, David Bonello, Lukas Koestler, Daniel Cremers

CoRR, 2022

Intrinsic Neural Fields: Learning Functions on Manifolds.

Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner

Proceedings of the Computer Vision - ECCV 2022, 2022

The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature Positions.

Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo.

Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels.

Lukas Koestler, Nan Yang, Rui Wang, Daniel Cremers

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020