Fredrik Kahl

发表

Practical Global Optimization for Multiview Geometry

David J. Kriegman, Serge J. Belongie, Sameer Agarwal, 2006, International Journal of Computer Vision.

Optimal Estimation of Perspective Camera Pose

Carl Olsson, Fredrik Kahl, Magnus Oskarsson, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Critical Curves and Surfaces for Euclidean Reconstruction

Richard I. Hartley, Fredrik Kahl, 2002, ECCV.

Autocalibration via Rank-Constrained Estimation of the Absolute Quadric

David J. Kriegman, Sameer Agarwal, Fredrik Kahl, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Improved curvature-based inpainting applied to fine art: recovering van Gogh's partially hidden brush strokes

Yubin Kuang, David G. Stork, Fredrik Kahl, 2011, Electronic Imaging.

Energy Minimazation Methods in Computer Vision and Pattern Recognition - 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings

Victor Lempitsky, Fredrik Kahl, Yuri Boykov, 2011, EMMCVPR.

Efficient algorithms for robust estimation of relative translation

Viktor Larsson, Johan Fredriksson, Carl Olsson, 2016, Image Vis. Comput..

Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion

Yubin Kuang, Jan Erik Solem, Fredrik Kahl, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Critical motions and ambiguous Euclidean reconstructions in auto-calibration

Fredrik Kahl, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Verifying Global Minima for L2 Minimization Problems in Multiple View Geometry

Yongduek Seo, Richard I. Hartley, Carl Olsson, 2012, International Journal of Computer Vision.

Surface reconstruction from the projection of points, curves and contours

Jan Erik Solem, Fredrik Kahl, J. E. Solem, 2004, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004..

A Simple Method for Subspace Estimation with Corrupted Columns

Viktor Larsson, Carl Olsson, Fredrik Kahl, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Single-Image Depth Prediction Makes Feature Matching Easier

Torsten Sattler, Fredrik Kahl, Daniyar Turmukhambetov, 2020, ECCV.

A Deep Learning Approach to MR-less Spatial Normalization for Tau PET Images

Michael Schöll, Fredrik Kahl, Jennifer Alvén, 2019, MICCAI.

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

Torsten Sattler, Marc Pollefeys, Tomás Pajdla, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Ambiguous Configurations for the 1D Structure and Motion Problem

Fredrik Kahl, Kalle Åström, 2004, Journal of Mathematical Imaging and Vision.

Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models

Carl Olsson, Fredrik Kahl, Robert Maier, 2019, SCIA.

A Combinatorial Approach to $$L_1$$L1-Matrix Factorization

Fredrik Kahl, Olof Enqvist, Fangyuan Jiang, 2014, Journal of Mathematical Imaging and Vision.

Pose disambiguation in uncalibrated structure from motion

Anders Heyden, Nicolas Guilbert, Fredrik Kahl, 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

Practical Global Optimization for Multiview Geometry

David J. Kriegman, Serge J. Belongie, Sameer Agarwal, 2006, ECCV.

A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials

Philip H. S. Torr, Fredrik Kahl, Anurag Arnab, 2017, EMMCVPR.

Long-Term Visual Localization Revisited

Torsten Sattler, Marc Pollefeys, Masatoshi Okutomi, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Optimal Algorithms in Multiview Geometry

Richard I. Hartley, Fredrik Kahl, R. Hartley, 2007, ACCV.

Optimization for Multi-Region Segmentation of Cardiac MRI

Fredrik Kahl, Johannes Ulén, Petter Strandmark, 2011, STACOM.

Real-time corner tracking in image sequences

Fredrik Kahl, F. Kahl, 1995 .

Critical motions in euclidean structure from motion

Bill Triggs, Fredrik Kahl, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

A Factorization Approach for deformable Structure from Motion

Henrik Aanæs, Fredrik Kahl, 2002 .

Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions

Daniel Cremers, Jürgen Sturm, Fredrik Kahl, 2013, Robotics: Science and Systems.

Efficiently Solving the Fractional Trust Region Problem

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, 2007, ACCV.

Geometry and Critical Configurations of Multiple Views

Fredrik Kahl, 2001 .

2009 IEEE 12th International Conference on Computer Vision (ICCV)

Larry S. Davis, Subhransu Maji, Daniel Cremers, 2009 .

Detecting Windows in City Scenes

Björn Johansson, Fredrik Kahl, 2002, SVM.

Dense Tracking and Mapping with a Quadrocopter

Daniel Cremers, Jürgen Sturm, Fredrik Kahl, 2013 .

Recognition of 3D objects

Jan Erik Solem, Fredrik Kahl, 2004 .

Surface Reconstruction using Learned Shape Models

Jan Erik Solem, Fredrik Kahl, J. E. Solem, 2004, NIPS.

Global Optimization through Searching Rotation Space and Optimal Estimation of the Essential Matrix

Richard I. Hartley, Fredrik Kahl, R. Hartley, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Robust abdominal organ segmentation using regional convolutional neural networks

Fredrik Kahl, Yuhang Zhang, Måns Larsson, 2018, Appl. Soft Comput..

The Registration Problem Revisited: Optimal Solutions From Points, Lines and Planes

Carl Olsson, Fredrik Kahl, Magnus Oskarsson, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Testing of timber elements using SP Fire Technologies new loading system

David Lange, Fredrik Kahl, Lars Boström, 2013 .

Minimal projective reconstruction with missing data

Long Quan, Anders Heyden, Fredrik Kahl, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Triangulation of Points, Lines and Conics

Fredrik Kahl, Klas Josephson, 2007, SCIA.

Multiatlas Segmentation Using Robust Feature-Based Registration

Viktor Larsson, Matilda Landgren, Johan Fredriksson, 2017, Cloud-Based Benchmarking of Medical Image Analysis.

Multiple-View Geometry Under the {$L_\infty$}-Norm

Richard I. Hartley, Fredrik Kahl, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Global Optimality for Point Set Registration Using Semidefinite Programming

Carl Olsson, Fredrik Kahl, José Pedro Iglesias, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Shortest Paths with Curvature and Torsion

Leo Grady, Fredrik Kahl, Johannes Ulén, 2013, 2013 IEEE International Conference on Computer Vision.

A Statistical Approach to Structure and Motion from Image Features

Anders Heyden, Fredrik Kahl, Kalle Åström, 1998, SSPR/SPR.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Victor Lempitsky, Fredrik Kahl, Yuri Boykov, 2009, Lecture Notes in Computer Science.

Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

Tobias Gass, Orcun Goksel, Assaf B. Spanier, 2016, IEEE Transactions on Medical Imaging.

Minimizing the Maximal Rank

Carl Olsson, Fredrik Kahl, Mikael G. Nilsson, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Curvature Regularity for Multi-label Problems - Standard and Customized Linear Programming

Yubin Kuang, Thomas Schoenemann, Fredrik Kahl, 2011, EMMCVPR.

City-Scale Localization for Cameras with Known Vertical Direction

Fredrik Kahl, Magnus Oskarsson, Olof Enqvist, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Novelty Detection in Image Sequences with Dynamic Background

Richard I. Hartley, Fredrik Kahl, Volker Hilsenstein, 2004, ECCV Workshop SMVP.

Robust online 3D reconstruction combining a depth sensor and sparse feature points

Carl Olsson, Fredrik Kahl, Erik Bylow, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Improved spectral relaxation methods for binary quadratic optimization problems

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, 2008, Comput. Vis. Image Underst..

Motion from 3D line correspondences: linear and nonlinear solutions

Adrien Bartoli, Richard I. Hartley, Fredrik Kahl, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

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

Behrooz Nasihatkon, Fredrik Kahl, Giasemi Koutouzi, 2019, BMC Medical Imaging.

Affine Structure from Translational Motion in Image Sequences

Anders Heyden, Fredrik Kahl, Pär Hammarstedt, 2003, SCIA.

Motion Estimation in Image Sequences Using the Deformation of Apparent Contours

Fredrik Kahl, Kalle Åström, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems

Carl Olsson, Martin Byröd, Fredrik Kahl, 2009, SCIA.

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction

Carsten Rother, Philip H. S. Torr, Bogdan Savchynskyy, 2018, IEEE Signal Processing Magazine.

Ambiguous Configurations for the 1D Structure and Motion Problem

Fredrik Kahl, Kalle Åström, 2001, ICCV.

Reflections on the generalized bas-relief ambiguity

David J. Kriegman, Fredrik Kahl, Manmohan Krishna Chandraker, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Globally Optimal Estimates for Geometric Reconstruction Problems

Didier Henrion, Fredrik Kahl, D. Henrion, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Robust Fitting for Multiple View Geometry

Fredrik Kahl, Kalle Åström, Olof Enqvist, 2012, ECCV.

Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, 2007, ICCV.

Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks

Fredrik Kahl, Yuhang Zhang, Måns Larsson, 2017, SCIA.

Rotation Averaging and Strong Duality

Anders P. Eriksson, Tat-Jun Chin, Carl Olsson, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Generalized roof duality for pseudo-boolean optimization

Fredrik Kahl, Petter Strandmark, Petter Strandmark, 2011, 2011 International Conference on Computer Vision.

Guest Editorial: Energy Optimization Methods

Fredrik Kahl, Victor S. Lempitsky, Yuri Boykov, 2013, International Journal of Computer Vision.

3D Reconstruction for Traffic Surveillance

Hanna Källén, Fredrik Kahl, Håkan Ardö, 2009 .

Camera Resectioning from a Box

Jakob Andreas Bærentzen, Henrik Aanæs, François Anton, 2009, SCIA.

Branch-and-Bound Methods for Euclidean Registration Problems

Carl Olsson, Fredrik Kahl, Magnus Oskarsson, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On the Tightness of Semidefinite Relaxations for Rotation Estimation pdf

Fredrik Kahl, Viktor Larsson, Carl Olsson, 2021, ArXiv.

Image Segmentation with Context

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, 2007, SCIA.

Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentation

Fredrik Kahl, Olof Enqvist, Jennifer Alvén, 2015, SCIA.

Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography

Fredrik Kahl, Olof Enqvist, Jennifer Alvén, 2016, Journal of medical imaging.

Robust self-calibration and Euclidean reconstruction via affine approximation

Anders Heyden, Fredrik Kahl, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Image-Based Localization Using Hybrid Feature Correspondences

Martin Byröd, Fredrik Kahl, Kalle Åström, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Two View Geometry Estimation with Outliers

Fredrik Kahl, Olof Enqvist, 2009, BMVC.

Euclidean reconstruction and auto-calibration from continuous motion

Anders Heyden, Fredrik Kahl, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

Torsten Sattler, Lars Hammarstrand, Fredrik Kahl, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Visibility constrained surface evolution

Anders Heyden, Jan Erik Solem, Fredrik Kahl, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Parallel and distributed graph cuts by dual decomposition

Fredrik Kahl, Petter Strandmark, Petter Strandmark, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

An Efficient Optimization Framework for Multi-Region Segmentation Based on Lagrangian Duality

Fredrik Kahl, Johannes Ulén, Petter Strandmark, 2013, IEEE Transactions on Medical Imaging.

Parallel and distributed vision algorithms using dual decomposition

Thomas Schoenemann, Fredrik Kahl, Petter Strandmark, 2011, Comput. Vis. Image Underst..

Structure and Motion from Lines under Affine Projections

Anders Heyden, Fredrik Kahl, Magnus Oskarsson, 1999, ICCV.

Outlier Rejection for Absolute Pose Estimation with Known Orientation

Viktor Larsson, Johan Fredriksson, Fredrik Kahl, 2016, BMVC.

Extending continuous cuts: Anisotropic metrics and expansion moves

Niels Chr. Overgaard, Carl Olsson, Martin Byröd, 2009, 2009 IEEE 12th International Conference on Computer Vision.

A polynomial-time bound for matching and registration with outliers

Carl Olsson, Fredrik Kahl, Olof Enqvist, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Long-Term 3D Localization and Pose from Semantic Labellings

Carl Olsson, Fredrik Kahl, Carl Toft, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Affine Structure from Translational Motion with Varying and Unknown Focal Length

Anders Heyden, Fredrik Kahl, Pär Hammarstedt, 2004, ICPR.

Generalized roof duality

Fredrik Kahl, Petter Strandmark, Petter Strandmark, 2012, Discret. Appl. Math..

Improving robustness for inter-subject medical image registration using a feature-based approach

Fredrik Kahl, Magnus Oskarsson, Olof Enqvist, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Critical Configurations for 1D Retina Vision

Fredrik Kahl, Kalle Åström, 2001 .

VISIRE: photorealistic 3D reconstruction from video sequences

Fernando Jaureguizar, José Manuel Menéndez, Adrien Bartoli, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Learning Arbitrary Potentials in CRFs with Gradient Descent pdf

Philip H. S. Torr, Richard I. Hartley, Fredrik Kahl, 2017, ArXiv.

HEp-2 staining pattern classification

Fredrik Kahl, Johannes Ulén, Petter Strandmark, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Shape-aware label fusion for multi-atlas frameworks

Viktor Larsson, Matilda Landgren, Fredrik Kahl, 2019, Pattern Recognit. Lett..

Optimal Geometric Fitting under the Truncated L2-Norm

Fredrik Kahl, Olof Enqvist, Erik Ask, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Arbitrary Pairwise Potentials in CRFs for Semantic Segmentation

Fredrik Kahl, Anurag Arnab, Philip Torr, 2017 .

Structure Estimation and Surface Triangulation of Deformable Objects

Henrik Aanæs, Fredrik Kahl, Charlotte Svensson, 2003, SCIA.

Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Minimal Projective Reconstruction Including Missing Data

Long Quan, Anders Heyden, Fredrik Kahl, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Shape-aware multi-atlas segmentation

Viktor Larsson, Matilda Landgren, Fredrik Kahl, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Affine Reconstruction from Translational Motion under Various Autocalibration Constraints

Anders Heyden, Fredrik Kahl, Pär Hammarstedt, 2006, Journal of Mathematical Imaging and Vision.

A Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization

Daniel Cremers, Thomas Schoenemann, Fredrik Kahl, 2011, International Journal of Computer Vision.

Semantic Match Consistency for Long-Term Visual Localization

Torsten Sattler, Marc Pollefeys, Lars Hammarstrand, 2018, ECCV.

An L∞ approach to structure and motion problems in ID-vision

Richard I. Hartley, Carl Olsson, Fredrik Kahl, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Accurate Localization and Pose Estimation for Large 3D Models

Fredrik Kahl, Magnus Oskarsson, Olof Enqvist, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Critical configurations for n-view projective reconstruction

Richard I. Hartley, Fredrik Kahl, Kalle Åström, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Efficient optimization for L∞-problems using pseudoconvexity

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Automated Interpretation of Cardiac Scintigrams

Lars Edenbrandt, Fredrik Kahl, Kalle Åström, 2003, SCIA.

Affine Structure and Motion from Points, Lines and Conics

Anders Heyden, Fredrik Kahl, A. Heyden, 1999, International Journal of Computer Vision.

Improved Object Detection and Pose Using Part-Based Models

Fredrik Kahl, Kalle Åström, Olof Enqvist, 2013, SCIA.

Multiple view geometry and the L/sub /spl infin//-norm

Fredrik Kahl, Fredrik Kahl, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Using conic correspondences in two images to estimate the epipolar geometry

Anders Heyden, Fredrik Kahl, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Automatic Feature Point Correspondences and Shape Analysis with Missing Data and Outliers Using MDL

Johan Karlsson, Fredrik Kahl, Kalle Åström, 2007, SCIA.

Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition

Victor Lempitsky, Fredrik Kahl, Yuri Boykov, 2011 .

Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging

Irene Y. H. Gu, Andrew Mehnert, Mohammad Alipoor, 2016, IEEE Transactions on Computational Imaging.

IMAGE FUSION OF RECONSTRUCTED DIGITAL TOMOSYNTHESIS VOLUMES FROM A FRONTAL AND A LATERAL ACQUISITION.

Fredrik Kahl, Magnus Båth, Jonathan Arvidsson, 2016, Radiation protection dosimetry.

Robust Camera Tracking by Combining Color and Depth Measurements

Carl Olsson, Fredrik Kahl, Erik Bylow, 2014, 2014 22nd International Conference on Pattern Recognition.

Shortest Paths with Higher-Order Regularization

Fredrik Kahl, Johannes Ulén, Petter Strandmark, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Optimizing parametric total variation models

Niels Chr. Overgaard, Fredrik Kahl, Petter Strandmark, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition - Volume 8081

Xue-Cheng Tai, Carl Olsson, Anders Heyden, 2013 .

Direct affine reconstruction

Anders Heyden, Fredrik Kahl, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors pdf

Fredrik Kahl, Lucas Brynte, 2020, BMVC.

A Minimal Solution for Relative Pose with Unknown Focal Length

Frederik Schaffalitzky, Fredrik Kahl, David Nistér, 2005, CVPR.

Rank Minimization with Structured Data Patterns

Viktor Larsson, Carl Olsson, Fredrik Kahl, 2014, ECCV.

Optimal correspondences from pairwise constraints

Fredrik Kahl, Olof Enqvist, Klas Josephson, 2009, 2009 IEEE 12th International Conference on Computer Vision.

A brute-force algorithm for reconstructing a scene from two projections

Fredrik Kahl, Olof Enqvist, Fangyuan Jiang, 2011, CVPR 2011.

Good Features for Reliable Registration in Multi-Atlas Segmentation

Viktor Larsson, Matilda Landgren, Johan Fredriksson, 2015, VISCERAL Challenge@ISBI.

A critical configuration for reconstruction from rectilinear motion

Richard I. Hartley, Fredrik Kahl, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Triangulation of Points, Lines and Conics

Fredrik Kahl, Klas Josephson, Klas Josephson, 2007, Journal of Mathematical Imaging and Vision.

Motion estimation in image sequences using the deformation of apparent contours

Fredrik Kahl, Kalle Åström, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

A minimal solution for relative pose with unknown focal length

Frederik Schaffalitzky, Fredrik Kahl, David Nistér, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

Torsten Sattler, Marc Pollefeys, Lars Hammarstrand, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Fast and Reliable Two-View Translation Estimation

Johan Fredriksson, Fredrik Kahl, Olof Enqvist, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Structure from Motion with Missing Data is NP-Hard

Fredrik Kahl, David Nistér, Henrik Stewénius, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Generalized Convexity in Multiple View Geometry

Carl Olsson, Fredrik Kahl, Carl Olsson, 2010, Journal of Mathematical Imaging and Vision.

Constraint Enforcement in Structure and Motion Applied to Closing and Open Sequence

Karl Johan Åström, Nicolas Guilbert, Fredrik Kahl, 2004 .

Tractable Algorithms for Robust Model Estimation

Fredrik Kahl, Kalle Åström, Olof Enqvist, 2014, International Journal of Computer Vision.

Why Rotation Averaging is Easy pdf

Anders P. Eriksson, Tat-Jun Chin, Carl Olsson, 2017, ArXiv.

Tractable and Reliable Registration of 2D Point Sets

Fredrik Kahl, Olof Enqvist, Linus Svärm, 2014, ECCV.

Globally Optimal Estimates for Geometric Reconstruction Problems

Didier Henrion, Fredrik Kahl, 2005, ICCV.

Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality

Anders P. Eriksson, Tat-Jun Chin, Carl Olsson, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach

Behrooz Nasihatkon, Fredrik Kahl, Frida Fejne, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Fredrik Kahl, Giasemi Koutouzi, Monika Danielak-Nowak, 2018, BMC Medical Imaging.

Robust Optimal Pose Estimation

Fredrik Kahl, Olof Enqvist, F. Kahl, 2008, ECCV.

Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation

Daniel Cremers, Thomas Schoenemann, Fredrik Kahl, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Critical Configurations for Projective Reconstruction from Multiple Views

Richard I. Hartley, Fredrik Kahl, R. Hartley, 2005, International Journal of Computer Vision.

Global Optimization for One-Dimensional Structure and Motion Problems

Carl Olsson, Fredrik Kahl, Kalle Åström, 2010, SIAM J. Imaging Sci..

Automated 3D segmentation of the prostate gland in CT images - a first step towards objective measurements of prostate uptake in PET and SPECT images

Lars Edenbrandt, Fredrik Kahl, Poul Flemming Høilund-Carlsen, 2017 .

Structure and Motion from Points, Lines and Conics with Affine Cameras

Anders Heyden, Fredrik Kahl, 1998, ECCV.

Non-sequential structure from motion

Carl Olsson, Fredrik Kahl, Olof Enqvist, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Deepseg: Abdominal Organ Segmentation Using Deep Convolutional Neural Networks

Fredrik Kahl, Yuhang Zhang, Måns Larsson, 2016 .

CopyMe3D: Scanning and Printing Persons in 3D

Daniel Cremers, Jürgen Sturm, Fredrik Kahl, 2013, GCPR.

Curvature Regularization for Curves and Surfaces in a Global Optimization Framework

Fredrik Kahl, Petter Strandmark, Petter Strandmark, 2011, EMMCVPR.

Überatlas: Fast and robust registration for multi-atlas segmentation

Fredrik Kahl, Olof Enqvist, Jennifer Alvén, 2016, Pattern Recognit. Lett..

Multiview reconstruction of space curves

Fredrik Kahl, Jonas August, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Projective least-squares: Global solutions with local optimization

Carl Olsson, Fredrik Kahl, Richard Hartley, 2009, CVPR.

Estimation of Deformable Structure and Motion

Henrik Aanæs, Fredrik Kahl, H. Aanæs, 2002 .

Tighter Relaxations for Higher-Order Models Based on Generalized Roof Duality

Johan Fredriksson, Carl Olsson, Fredrik Kahl, 2012, ECCV Workshops.

Efficient Optimization for L-infinity Problems using Pseudoconvexity

Anders Eriksson, Carl Olsson, Fredrik Kahl, 2007, ICCV 2007.

Optimal Relative Pose with Unknown Correspondences

Viktor Larsson, Johan Fredriksson, Carl Olsson, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Direct Camera Pose Tracking and Mapping With Signed Distance Functions

Daniel Cremers, Jürgen Sturm, Fredrik Kahl, 2013, RSS 2013.

Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference

Philip H. S. Torr, Fredrik Kahl, Anurag Arnab, 2018, SIAM J. Imaging Sci..

Reconstruction from affine cameras using closure constraints

Anders Heyden, Fredrik Kahl, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Multiresolution Search of the Rigid Motion Space for Intensity-Based Registration

Behrooz Nasihatkon, Fredrik Kahl, Fredrik Kahl, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss pdf

Christopher Zach, Fredrik Kahl, Eskil Jörgensen, 2019, ArXiv.

Max-Margin Learning of Deep Structured Models for Semantic Segmentation

Fredrik Kahl, Jennifer Alvén, Måns Larsson, 2017, SCIA.

Global Optimization through Rotation Space Search

Richard I. Hartley, Fredrik Kahl, R. Hartley, 2009, International Journal of Computer Vision.

Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary

Bill Triggs, Fredrik Kahl, Kalle Åström, 2000, Journal of Mathematical Imaging and Vision.

Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, 2007, 2007 IEEE 11th International Conference on Computer Vision.

ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds pdf

Fredrik Kahl, Axel Flinth, Georg Bökman, 2021, ArXiv.

CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization pdf

Torsten Sattler, Yubin Kuang, Pau Gargallo, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

On the Tightness of Semidefinite Relaxations for Rotation Estimation

Viktor Larsson, Carl Olsson, Fredrik Kahl, 2021, Journal of Mathematical Imaging and Vision.

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

Vincent Lepetit, Torsten Sattler, Marc Pollefeys, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines

Torsten Sattler, Fredrik Kahl, Kunal Chelani, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Quasiconvex Formulation for Radial Cameras

Viktor Larsson, Carl Olsson, Fredrik Kahl, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Projective least-squares: Global solutions with local optimization

Richard I. Hartley, Carl Olsson, Fredrik Kahl, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

A Computer Vision Toolbox

Anders Heyden, Gunnar Sparr, Fredrik Kahl, 1997 .

Proceedings of the 17th Scandinavian conference on Image analysis

Anders Heyden, Fredrik Kahl, A. Heyden, 2011 .

Scanning and Printing Persons in 3D

Daniel Cremers, Jürgen Sturm, Fredrik Kahl, 2013 .