Fredrik Kahl

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 73

Top Venues

CoRR

CVPR

ICPR

IEEE Trans. Pattern Anal. Mach. Intell.

Lund University, Sweden (PHD)

Education History

Lund University, Sweden

PHD

Publications

Erik Landolsi, Fredrik Kahl
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation. CoRR (2024)
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection. CoRR (2024)
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
Improving Open-Set Semi-Supervised Learning with Self-Supervision. WACV (2024)
Kunal Chelani, Torsten Sattler, Fredrik Kahl, Zuzana Kukelova
Privacy-Preserving Representations are not Enough - Recovering Scene Content from Camera Poses. CoRR (2023)
Georg Bökman, Fredrik Kahl
Investigating how ReLU-networks encode symmetries. CoRR (2023)
Georg Bökman, Axel Flinth, Fredrik Kahl
In search of projectively equivariant networks. Trans. Mach. Learn. Res. 2023 (2023)
Georg Bökman, Fredrik Kahl
Investigating how ReLU-networks encode symmetries. NeurIPS (2023)
Lucas Brynte, Georg Bökman, Axel Flinth, Fredrik Kahl
Rigidity Preserving Image Transformations and Equivariance in Perspective. SCIA (2) (2023)
Josef Bengtson, David Nilsson, Che-Tsung Lin, Marcel Büsching, Fredrik Kahl
Adjustable Visual Appearance for Generalizable Novel View Synthesis. CoRR (2023)
Kunal Chelani, Torsten Sattler, Fredrik Kahl, Zuzana Kukelova
Privacy-Preserving Representations are not Enough: Recovering Scene Content from Camera Poses. CVPR (2023)
Ernesto Lozano Calvo, Bernardo Taveira, Fredrik Kahl, Niklas Gustafsson, Jonathan Larsson, Adam Tonderski
TimePillars: Temporally-Recurrent 3D LiDAR Object Detection. CoRR (2023)
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
Improving Open-Set Semi-Supervised Learning with Self-Supervision. CoRR (2023)
Lucas Brynte, José Pedro Iglesias, Carl Olsson, Fredrik Kahl
Learning Structure-from-Motion with Graph Attention Networks. CoRR (2023)
Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl
Steerers: A framework for rotation equivariant keypoint descriptors. CoRR (2023)
Georg Bökman, Fredrik Kahl
A case for using rotation invariant features in state of the art feature matchers. CoRR (2022)
Georg Bökman, Fredrik Kahl
A case for using rotation invariant features in state of the art feature matchers. CVPR Workshops (2022)
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. CoRR (2022)
Lucas Brynte, Viktor Larsson, José Pedro Iglesias, Carl Olsson, Fredrik Kahl
On the Tightness of Semidefinite Relaxations for Rotation Estimation. J. Math. Imaging Vis. 64 (1) (2022)
Georg Bökman, Axel Flinth, Fredrik Kahl
In Search of Projectively Equivariant Neural Networks. CoRR (2022)
Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Fredrik Kahl, Torsten Sattler
Long-Term Visual Localization Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Georg Bökman, Fredrik Kahl, Axel Flinth
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds. CVPR (2022)
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. ICPR (2022)
Carl Toft, Georg Bökman, Fredrik Kahl
Azimuthal Rotational Equivariance in Spherical Convolutional Neural Networks. ICPR (2022)
Lucas Brynte, Georg Bökman, Axel Flinth, Fredrik Kahl
Rigidity Preserving Image Transformations and Equivariance in Perspective. CoRR (2022)
Kunal Chelani, Fredrik Kahl, Torsten Sattler
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines. CoRR (2021)
Lucas Brynte, Viktor Larsson, José Pedro Iglesias, Carl Olsson, Fredrik Kahl
On the Tightness of Semidefinite Relaxations for Rotation Estimation. CoRR (2021)
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose. CoRR (2021)
Georg Bökman, Fredrik Kahl, Axel Flinth
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds. CoRR (2021)
Ara Jafarzadeh, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, Carl Toft, Fredrik Kahl, Torsten Sattler
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization. ICCV (2021)
Ara Jafarzadeh, Manuel Lopez-Antequera, Pau Gargallo, Yubin Kuang, Carl Toft, Fredrik Kahl, Torsten Sattler
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization. CoRR (2021)
Carl Olsson, Viktor Larsson, Fredrik Kahl
A Quasiconvex Formulation for Radial Cameras. CVPR (2021)
Kunal Chelani, Fredrik Kahl, Torsten Sattler
How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines. CVPR (2021)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin
Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler
Back to the Feature: Learning Robust Camera Localization From Pixels To Pose. CVPR (2021)
Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow
Single-Image Depth Prediction Makes Feature Matching Easier. CoRR (2020)
José Pedro Iglesias, Carl Olsson, Fredrik Kahl
Global Optimality for Point Set Registration Using Semidefinite Programming. CVPR (2020)
Lucas Brynte, Fredrik Kahl
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors. CoRR (2020)
Lucas Brynte, Fredrik Kahl
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors. BMVC (2020)
Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow
Single-Image Depth Prediction Makes Feature Matching Easier. ECCV (16) (2020)
Erik Bylow, Robert Maier, Fredrik Kahl, Carl Olsson
Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models. SCIA (2019)
Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Marc Pollefeys, Fredrik Kahl
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CoRR (2019)
Eskil Jörgensen, Christopher Zach, Fredrik Kahl
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss. CoRR (2019)
Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CVPR (2019)
Giasemi Koutouzi, Behrooz Nasihatkon, Monika Danielak-Nowak, Henrik Leonhardt, Mårten Falkenberg, Fredrik Kahl
Correction to: Performance of a feature-based algorithm for 3D-3D registration of CT angiography to cone-beam CT for endovascular repair of complex abdominal aortic aneurysms. BMC Medical Imaging 19 (1) (2019)
Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. CoRR (2019)
Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. ICCV (2019)
Jennifer Alvén, Fredrik Kahl, Matilda Landgren, Viktor Larsson, Johannes Ulén, Olof Enqvist
Shape-aware label fusion for multi-atlas frameworks. Pattern Recognit. Lett. 124 (2019)
Jennifer Alvén, Kerstin Heurling, Ruben Smith, Olof Strandberg, Michael Schöll, Oskar Hansson, Fredrik Kahl
A Deep Learning Approach to MR-less Spatial Normalization for Tau PET Images. MICCAI (2) (2019)
Måns Larsson, Yuhang Zhang, Fredrik Kahl
Robust abdominal organ segmentation using regional convolutional neural networks. Appl. Soft Comput. 70 (2018)
Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, Tomás Pajdla
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. CVPR (2018)
Carl Toft, Erik Stenborg, Lars Hammarstrand, Lucas Brynte, Marc Pollefeys, Torsten Sattler, Fredrik Kahl
Semantic Match Consistency for Long-Term Visual Localization. ECCV (2) (2018)
Giasemi Koutouzi, Behrooz Nasihatkton, Monika Danielak-Nowak, Henrik Leonhardt, Mårten Falkenberg, Fredrik Kahl
Performance of a feature-based algorithm for 3D-3D registration of CT angiography to cone-beam CT for endovascular repair of complex abdominal aortic aneurysms. BMC Medical Imaging 18 (1) (2018)
Behrooz Nasihatkon, Fredrik Kahl
Multiresolution Search of the Rigid Motion Space for Intensity-Based Registration. IEEE Trans. Pattern Anal. Mach. Intell. 40 (1) (2018)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin
Rotation Averaging and Strong Duality. CVPR (2018)
Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. 35 (1) (2018)
Måns Larsson, Anurag Arnab, Shuai Zheng, Philip H. S. Torr, Fredrik Kahl
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference. SIAM J. Imaging Sci. 11 (4) (2018)
Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr
A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials. EMMCVPR (2017)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Olof Enqvist, Tat-Jun Chin
Why Rotation Averaging is Easy. CoRR (2017)
Carl Toft, Carl Olsson, Fredrik Kahl
Long-Term 3D Localization and Pose from Semantic Labellings. ICCV Workshops (2017)
Måns Larsson, Yuhang Zhang, Fredrik Kahl
Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks. SCIA (2) (2017)
Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley
Learning Arbitrary Potentials in CRFs with Gradient Descent. CoRR (2017)
Måns Larsson, Jennifer Alvén, Fredrik Kahl
Max-Margin Learning of Deep Structured Models for Semantic Segmentation. SCIA (2) (2017)
Linus Svarm, Olof Enqvist, Fredrik Kahl, Magnus Oskarsson
City-Scale Localization for Cameras with Known Vertical Direction. IEEE Trans. Pattern Anal. Mach. Intell. 39 (7) (2017)
Erik Bylow, Carl Olsson, Fredrik Kahl, Mikael G. Nilsson
Minimizing the Maximal Rank. CVPR (2016)
Erik Bylow, Carl Olsson, Fredrik Kahl
Robust online 3D reconstruction combining a depth sensor and sparse feature points. ICPR (2016)
Oscar Alfonso Jiménez del Toro, Henning Müller, Markus Krenn, Katharina Gruenberg, Abdel Aziz Taha, Marianne Winterstein, Ivan Eggel, Antonio Foncubierta-Rodríguez, Orcun Goksel, András Jakab, Georgios Kontokotsios, Georg Langs, Bjoern H. Menze, Tomas Salas Fernandez, Roger Schaer, Anna Walleyo, Marc-André Weber, Yashin Dicente Cid, Tobias Gass, Mattias P. Heinrich, Fucang Jia, Fredrik Kahl, Razmig Kéchichian, Dominic Mai, Assaf B. Spanier, Graham Vincent, Chunliang Wang, Daniel Wyeth, Allan Hanbury
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. IEEE Trans. Medical Imaging 35 (11) (2016)
Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl
Überatlas: Fast and robust registration for multi-atlas segmentation. Pattern Recognit. Lett. 80 (2016)
Johan Fredriksson, Viktor Larsson, Carl Olsson, Fredrik Kahl
Optimal Relative Pose with Unknown Correspondences. CVPR (2016)
Behrooz Nasihatkon, Frida Fejne, Fredrik Kahl
Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach. CVPR (2016)
Jennifer Alvén, Fredrik Kahl, Matilda Landgren, Viktor Larsson, Johannes Ulén
Shape-aware multi-atlas segmentation. ICPR (2016)
Mohammad Alipoor, Irene Yu-Hua Gu, Stephan E. Maier, Göran Starck, Andrew Mehnert, Fredrik Kahl
Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging. IEEE Trans. Computational Imaging 2 (3) (2016)
Johan Fredriksson, Viktor Larsson, Carl Olsson, Olof Enqvist, Fredrik Kahl
Efficient algorithms for robust estimation of relative translation. Image Vis. Comput. 52 (2016)
Viktor Larsson, Johan Fredriksson, Carl Toft, Fredrik Kahl
Outlier Rejection for Absolute Pose Estimation with Known Orientation. BMVC (2016)
Olof Enqvist, Erik Ask, Fredrik Kahl, Kalle Åström
Tractable Algorithms for Robust Model Estimation. Int. J. Comput. Vis. 112 (1) (2015)
Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl
Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentation. SCIA (2015)
Viktor Larsson, Carl Olsson, Fredrik Kahl
A Simple Method for Subspace Estimation with Corrupted Columns. ICCV Workshops (2015)
Johannes Ulén, Petter Strandmark, Fredrik Kahl
Shortest Paths with Higher-Order Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 37 (12) (2015)
Linus Svärm, Olof Enqvist, Fredrik Kahl, Magnus Oskarsson
Improving robustness for inter-subject medical image registration using a feature-based approach. ISBI (2015)
Behrooz Nasihatkon, Fredrik Kahl
Multiresolution Search of the Rigid Motion Space for Intensity Based Registration. CoRR (2015)
Fredrik Kahl, Jennifer Alvén, Olof Enqvist, Frida Fejne, Johannes Ulén, Johan Fredriksson, Matilda Landgren, Viktor Larsson
Good Features for Reliable Registration in Multi-Atlas Segmentation. VISCERAL Challenge@ISBI (2015)
Fangyuan Jiang, Olof Enqvist, Fredrik Kahl
-Matrix Factorization. J. Math. Imaging Vis. 51 (3) (2015)
Linus Svärm, Olof Enqvist, Magnus Oskarsson, Fredrik Kahl
Accurate Localization and Pose Estimation for Large 3D Models. CVPR (2014)
Erik Ask, Olof Enqvist, Linus Svärm, Fredrik Kahl, Giuseppe Lippolis
Tractable and Reliable Registration of 2D Point Sets. ECCV (1) (2014)
Erik Bylow, Carl Olsson, Fredrik Kahl
Robust Camera Tracking by Combining Color and Depth Measurements. ICPR (2014)
Viktor Larsson, Carl Olsson, Erik Bylow, Fredrik Kahl
Rank Minimization with Structured Data Patterns. ECCV (3) (2014)
Johan Fredriksson, Olof Enqvist, Fredrik Kahl
Fast and Reliable Two-View Translation Estimation. CVPR (2014)
Yubin Kuang, Jan Erik Solem, Fredrik Kahl, Kalle Åström
Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion. CVPR (2014)
Jürgen Sturm, Erik Bylow, Fredrik Kahl, Daniel Cremers
CopyMe3D: Scanning and Printing Persons in 3D. GCPR (2013)
Richard I. Hartley, Fredrik Kahl, Carl Olsson, Yongduek Seo
Verifying Global Minima for L 2 Minimization Problems in Multiple View Geometry. Int. J. Comput. Vis. 101 (2) (2013)
Petter Strandmark, Johannes Ulén, Fredrik Kahl, Leo J. Grady
Shortest Paths with Curvature and Torsion. ICCV (2013)
Johannes Ulén, Petter Strandmark, Fredrik Kahl
An Efficient Optimization Framework for Multi-Region Segmentation Based on Lagrangian Duality. IEEE Trans. Medical Imaging 32 (2) (2013)
Erik Ask, Olof Enqvist, Fredrik Kahl
Optimal Geometric Fitting under the Truncated L2-Norm. CVPR (2013)
Fangyuan Jiang, Olof Enqvist, Fredrik Kahl, Kalle Åström
Improved Object Detection and Pose Using Part-Based Models. SCIA (2013)
Erik Bylow, Jürgen Sturm, Christian Kerl, Fredrik Kahl, Daniel Cremers
Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions. Robotics: Science and Systems (2013)
Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt
Guest Editorial: Energy Optimization Methods. Int. J. Comput. Vis. 104 (3) (2013)
Fredrik Kahl, Petter Strandmark
Generalized roof duality. Discret. Appl. Math. 160 (16-17) (2012)
Petter Strandmark, Johannes Ulén, Fredrik Kahl
HEp-2 staining pattern classification. ICPR (2012)
Thomas Schoenemann, Fredrik Kahl, Simon Masnou, Daniel Cremers
A Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization. Int. J. Comput. Vis. 99 (1) (2012)
Johan Fredriksson, Carl Olsson, Petter Strandmark, Fredrik Kahl
Tighter Relaxations for Higher-Order Models Based on Generalized Roof Duality. ECCV Workshops (3) (2012)
Olof Enqvist, Erik Ask, Fredrik Kahl, Kalle Åström
Robust Fitting for Multiple View Geometry. ECCV (1) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fredrik Kahl