Karsten Kahl

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Topics

Object Detection

Top Venues

SIAM J. Sci. Comput.

Comput. Phys. Commun.

VISIGRAPP (2): VISAPP

Publications

Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. VISIGRAPP (2): VISAPP (2024)
Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth
Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems. CoRR (2024)
Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann
Identifying Label Errors in Object Detection Datasets by Loss Inspection. WACV (2024)
Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. CoRR (2024)
Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann
Deep Active Learning with Noisy Oracle in Object Detection. VISIGRAPP (2): VISAPP (2024)
Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann
Identifying Label Errors in Object Detection Datasets by Loss Inspection. CoRR (2023)
Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. DAGM (2023)
Andreas Frommer, Karsten Kahl, Marcel Schweitzer, Manuel Tsolakis
Krylov Subspace Restarting for Matrix Laplace Transforms. SIAM J. Matrix Anal. Appl. 44 (2) (2023)
Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann
Deep Active Learning with Noisy Oracle in Object Detection. CoRR (2023)
Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. CoRR (2023)
Antonia van Betteray, Matthias Rottmann, Karsten Kahl
MGiaD: Multigrid in all dimensions. Efficiency and robustness by weight sharing and coarsening in resolution and channel dimensions. ICCV (Workshops) (2023)
Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth
Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems. CoRR (2023)
Antonia van Betteray, Matthias Rottmann, Karsten Kahl
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions. CoRR (2022)
Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. CoRR (2022)
Malak Diab, Andreas Frommer, Karsten Kahl
A flexible short recurrence Krylov subspace method for matrices arising in the time integration of port Hamiltonian systems and ODEs/DAEs with a dissipative Hamiltonian. CoRR (2022)
Andreas Frommer, Karsten Kahl, Marcel Schweitzer, Manuel Tsolakis
Krylov subspace restarting for matrix Laplace transforms. CoRR (2022)
Andreas Frommer, Karsten Kahl, Manuel Tsolakis
Matrix functions via linear systems built from continued fractions. CoRR (2021)
Andreas Frommer, Karsten Kahl, Francesco Knechtli, Matthias Rottmann, Artur Strebel, Ian Zwaan
A multigrid accelerated eigensolver for the Hermitian Wilson-Dirac operator in lattice QCD. Comput. Phys. Commun. 258 (2021)
Marius Schubert, Karsten Kahl, Matthias Rottmann
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. IJCNN (2021)
Karsten Kahl, Bruno Lang
On the equivalence of the Hermitian eigenvalue problem and hypergraph edge elimination. CoRR (2020)
Hanno Gottschalk, Karsten Kahl
Coarsening in Algebraic Multigrid using Gaussian Processes. CoRR (2020)
Marius Schubert, Karsten Kahl, Matthias Rottmann
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. CoRR (2020)
Andreas Behrend, Anton Dignös, Johann Gamper, Philip Schmiegelt, Hannes Voigt, Matthias Rottmann, Karsten Kahl
Period Index: A Learned 2D Hash Index for Range and Duration Queries. SSTD (2019)
Andreas Frommer, Birgit Jacob, Karsten Kahl, Christian Wyss, Ian Zwaan
Krylov type methods exploiting the quadratic numerical range. CoRR (2019)
Maksim Ulybyshev, Nils Kintscher, Karsten Kahl, Pavel Buividovich
Schur complement solver for Quantum Monte-Carlo simulations of strongly interacting fermions. Comput. Phys. Commun. 236 (2019)
Karsten Kahl, Nils Kintscher
Geometric Multigrid for the Tight-Binding Hamiltonian of Graphene. SIAM J. Numer. Anal. 56 (1) (2018)
Karsten Kahl, Matthias Rottmann
Least Angle Regression Coarsening in Bootstrap Algebraic Multigrid. SIAM J. Sci. Comput. 40 (6) (2018)
Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
Deep Bayesian Active Semi-Supervised Learning. CoRR (2018)
James J. Brannick, Fei Cao, Karsten Kahl, Robert D. Falgout, Xiaozhe Hu
Optimal Interpolation and Compatible Relaxation in Classical Algebraic Multigrid. SIAM J. Sci. Comput. 40 (3) (2018)
Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
Deep Bayesian Active Semi-Supervised Learning. ICMLA (2018)
Matthias Bolten, Karsten Kahl, Sonja Sokolovic
Multigrid Methods for Tensor Structured Markov Chains with Low Rank Approximation. SIAM J. Sci. Comput. 38 (2) (2016)
James J. Brannick, Andreas Frommer, Karsten Kahl, Björn Leder, Matthias Rottmann, Artur Strebel
Multigrid preconditioning for the overlap operator in lattice QCD. Numerische Mathematik 132 (3) (2016)
Andreas Frommer, Karsten Kahl, Stefan Krieg, Björn Leder, Matthias Rottmann
Adaptive Aggregation-Based Domain Decomposition Multigrid for the Lattice Wilson-Dirac Operator. SIAM J. Sci. Comput. 36 (4) (2014)
James J. Brannick, Karsten Kahl
Bootstrap Algebraic Multigrid for the 2D Wilson Dirac system. SIAM J. Sci. Comput. 36 (3) (2014)
Andreas Frommer, Karsten Kahl, Thomas Lippert, Hannah Rittich
2-Norm Error Bounds and Estimates for Lanczos Approximations to Linear Systems and Rational Matrix Functions. SIAM J. Matrix Anal. Appl. 34 (3) (2013)
Achi Brandt, James J. Brannick, Karsten Kahl, Irene Livshits
Bootstrap AMG. SIAM J. Sci. Comput. 33 (2) (2011)
Matthias Bolten, Achi Brandt, James J. Brannick, Andreas Frommer, Karsten Kahl, Ira Livshits
A Bootstrap Algebraic Multilevel Method for Markov Chains. SIAM J. Sci. Comput. 33 (6) (2011)