Lukas Koestler

18 papers A* 2A 2Misc 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Deep Event Visual Odometry. 3DV Simon Klenk, Marvin Motzet, Lukas Koestler, Daniel Cremers
2024	A	`conf`	Masked Event Modeling: Self-Supervised Pretraining for Event Cameras. WACV Simon Klenk, David Bonello, Lukas Koestler, Nikita Araslanov, Daniel Cremers
2023	J	`jnl`	Deep Event Visual Odometry. CoRR Simon Klenk, Marvin Motzet, Lukas Koestler, Daniel Cremers
2023	J	`jnl`	E-NeRF: Neural Radiance Fields From a Moving Event Camera. IEEE Robotics Autom. Lett. Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers
2023	A*	`conf`	Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CVPR Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
2023	J	`jnl`	Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CoRR Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
2023	A	`conf`	Neural Implicit Representations for Physical Parameter Inference from a Single Video. WACV Florian Hofherr, Lukas Koestler, Florian Bernard, Daniel Cremers
2022	J	`jnl`	E-NeRF: Neural Radiance Fields from a Moving Event Camera. CoRR Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers
2022	—	`conf`	Intrinsic Neural Fields: Learning Functions on Manifolds. ECCV (2) Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
2022	J	`jnl`	Intrinsic Neural Fields: Learning Functions on Manifolds. CoRR Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
2022	J	`jnl`	Masked Event Modeling: Self-Supervised Pretraining for Event Cameras. CoRR Simon Klenk, David Bonello, Nikita Araslanov, Lukas Koestler, Daniel Cremers
2022	J	`jnl`	Neural Implicit Representations for Physical Parameter Inference from a Single Video. CoRR Florian Hofherr, Lukas Koestler, Florian Bernard, Daniel Cremers
2022	A*	`conf`	The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature Positions. CVPR Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers
2022	J	`jnl`	The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions. CoRR Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers
2021	Misc	`conf`	TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo. CoRL Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers
2021	J	`jnl`	TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo. CoRR Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers
2020	—	`conf`	Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels. GCPR Lukas Koestler, Nan Yang, Rui Wang, Daniel Cremers
2020	J	`jnl`	Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels. CoRR Lukas Koestler, Nan Yang, Rui Wang, Daniel Cremers