Nikolaus Demmel

According to our database, Nikolaus Demmel authored at least 19 papers between 2010 and 2023.

Collaborative distances:

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

2023

Power Bundle Adjustment for Large-Scale 3D Reconstruction.

Simon Weber, Nikolaus Demmel, Tin Chon Chan, Daniel Cremers

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

2022

Power Bundle Adjustment for Large-Scale 3D Reconstruction.

Simon Weber, Nikolaus Demmel, Daniel Cremers

CoRR, 2022

DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment.

Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taixé, Daniel Cremers

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions.

Martin Wudenka, Marcus Gerhard Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset.

Simon Klenk, Jason Chui, Nikolaus Demmel, Daniel Cremers

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Square Root Marginalization for Sliding-Window Bundle Adjustment.

Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multidirectional Conjugate Gradients for Scalable Bundle Adjustment.

Simon Weber, Nikolaus Demmel, Daniel Cremers

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Square Root Bundle Adjustment for Large-Scale Reconstruction.

Nikolaus Demmel, Christiane Sommer, Daniel Cremers, Vladyslav Usenko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Visual-Inertial Mapping With Non-Linear Factor Recovery.

Vladyslav Usenko, Nikolaus Demmel, David Schubert, Jörg Stückler, Daniel Cremers

IEEE Robotics Autom. Lett., 2020

Efficient Derivative Computation for Cumulative B-Splines on Lie Groups.

Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Distributed Photometric Bundle Adjustment.

Nikolaus Demmel, Maolin Gao, Emanuel Laude, Tao Wu, Daniel Cremers

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Rolling-Shutter Modelling for Direct Visual-Inertial Odometry.

David Schubert, Nikolaus Demmel, Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

The TUM VI Benchmark for Evaluating Visual-Inertial Odometry.

David Schubert, Thore Goll, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

LDSO: Direct Sparse Odometry with Loop Closure.

Xiang Gao, Rui Wang, Nikolaus Demmel, Daniel Cremers

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Direct Sparse Odometry with Rolling Shutter.

David Schubert, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2018, 2018

The Double Sphere Camera Model.

Vladyslav Usenko, Nikolaus Demmel, Daniel Cremers

Proceedings of the 2018 International Conference on 3D Vision, 2018

2015

Interactive Multi-label Segmentation of RGB-D Images.

Julia Diebold, Nikolaus Demmel, Caner Hazirbas, Michael Möller, Daniel Cremers

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2010

Becoming action-aware through reasoning about logged plan execution traces.

Lorenz Mösenlechner, Nikolaus Demmel, Michael Beetz

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010