Koestler, Lukas

6 publications

WACV 2024 Masked Event Modeling: Self-Supervised Pretraining for Event Cameras Simon Klenk, David Bonello, Lukas Koestler, Nikita Araslanov, Daniel Cremers

CVPR 2023 Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers

WACV 2023 Neural Implicit Representations for Physical Parameter Inference from a Single Video Florian Hofherr, Lukas Koestler, Florian Bernard, Daniel Cremers

ECCV 2022 Intrinsic Neural Fields: Learning Functions on Manifolds Lukas Koestler, Daniel Grittner, Michael Moeller, Daniel Cremers, Zorah Lähner

CVPR 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

CoRL 2021 TANDEM: Tracking and Dense Mapping in Real-Time Using Deep Multi-View Stereo Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers