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2020 – today
- 2023
[c115]Kunal Chelani, Torsten Sattler, Fredrik Kahl, Zuzana Kukelova:
Privacy-Preserving Representations are not Enough: Recovering Scene Content from Camera Poses. CVPR 2023: 13132-13141- [c114]Lucas Brynte
, Georg Bökman, Axel Flinth, Fredrik Kahl:
Rigidity Preserving Image Transformations and Equivariance in Perspective. SCIA (2) 2023: 59-76 - [i23]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
Improving Open-Set Semi-Supervised Learning with Self-Supervision. CoRR abs/2301.10127 (2023) - [i22]Kunal Chelani, Torsten Sattler, Fredrik Kahl, Zuzana Kukelova:
Privacy-Preserving Representations are not Enough - Recovering Scene Content from Camera Poses. CoRR abs/2305.04603 (2023) - [i21]Georg Bökman, Fredrik Kahl:
Investigating how ReLU-networks encode symmetries. CoRR abs/2305.17017 (2023) - [i20]Josef Bengtson, David Nilsson, Che-Tsung Lin, Marcel Büsching, Fredrik Kahl:
Adjustable Visual Appearance for Generalizable Novel View Synthesis. CoRR abs/2306.01344 (2023) - [i19]Lucas Brynte, José Pedro Iglesias, Carl Olsson, Fredrik Kahl:
Learning Structure-from-Motion with Graph Attention Networks. CoRR abs/2308.15984 (2023) - 2022
- [j42]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): 57-67 (2022) - [j41]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): 2074-2088 (2022) - [c113]Georg Bökman, Fredrik Kahl:
A case for using rotation invariant features in state of the art feature matchers. CVPR Workshops 2022: 5106-5115 - [c112]Georg Bökman, Fredrik Kahl, Axel Flinth:
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds. CVPR 2022: 10966-10975 - [c111]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. ICPR 2022: 2871-2877 - [c110]Carl Toft, Georg Bökman, Fredrik Kahl:
Azimuthal Rotational Equivariance in Spherical Convolutional Neural Networks. ICPR 2022: 3808-3814 - [i18]Lucas Brynte, Georg Bökman, Axel Flinth, Fredrik Kahl:
Rigidity Preserving Image Transformations and Equivariance in Perspective. CoRR abs/2201.13065 (2022) - [i17]Georg Bökman, Fredrik Kahl:
A case for using rotation invariant features in state of the art feature matchers. CoRR abs/2204.10144 (2022) - [i16]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. CoRR abs/2205.05575 (2022) - [i15]Georg Bökman, Axel Flinth, Fredrik Kahl:
In Search of Projectively Equivariant Neural Networks. CoRR abs/2209.14719 (2022) - 2021
- [j40]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): 256-268 (2021) - [c109]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: 3247-3257 - [c108]Carl Olsson, Viktor Larsson, Fredrik Kahl:
A Quasiconvex Formulation for Radial Cameras. CVPR 2021: 14576-14585 - [c107]Kunal Chelani, Fredrik Kahl, Torsten Sattler:
How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines. CVPR 2021: 15668-15678 - [c106]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: 9825-9835 - [i14]Lucas Brynte, Viktor Larsson, José Pedro Iglesias, Carl Olsson, Fredrik Kahl:
On the Tightness of Semidefinite Relaxations for Rotation Estimation. CoRR abs/2101.02099 (2021) - [i13]Kunal Chelani, Fredrik Kahl, Torsten Sattler:
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines. CoRR abs/2103.05086 (2021) - [i12]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 abs/2103.09213 (2021) - [i11]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 abs/2109.04527 (2021) - [i10]Georg Bökman, Fredrik Kahl, Axel Flinth:
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds. CoRR abs/2111.15341 (2021) - 2020
- [c105]Lucas Brynte, Fredrik Kahl:
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors. BMVC 2020 - [c104]José Pedro Iglesias, Carl Olsson, Fredrik Kahl:
Global Optimality for Point Set Registration Using Semidefinite Programming. CVPR 2020: 8284-8292 - [c103]Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow:
Single-Image Depth Prediction Makes Feature Matching Easier. ECCV (16) 2020: 473-492 - [i9]Lucas Brynte, Fredrik Kahl:
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors. CoRR abs/2005.06262 (2020) - [i8]Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow:
Single-Image Depth Prediction Makes Feature Matching Easier. CoRR abs/2008.09497 (2020)
2010 – 2019
- 2019
- [j39]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): 37:1 (2019) - [j38]Jennifer Alvén, Fredrik Kahl, Matilda Landgren, Viktor Larsson, Johannes Ulén, Olof Enqvist:
Shape-aware label fusion for multi-atlas frameworks. Pattern Recognit. Lett. 124: 109-117 (2019) - [c102]Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl:
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CVPR 2019: 9532-9542 - [c101]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: 31-41 - [c100]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: 355-363 - [c99]Erik Bylow, Robert Maier, Fredrik Kahl, Carl Olsson:
Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models. SCIA 2019: 261-274 - [i7]Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Marc Pollefeys, Fredrik Kahl:
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CoRR abs/1903.06916 (2019) - [i6]Eskil Jörgensen, Christopher Zach, Fredrik Kahl:
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss. CoRR abs/1906.08070 (2019) - [i5]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 abs/1908.06387 (2019) - 2018
- [j37]Måns Larsson, Yuhang Zhang, Fredrik Kahl:
Robust abdominal organ segmentation using regional convolutional neural networks. Appl. Soft Comput. 70: 465-471 (2018) - [j36]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): 42:1-42:8 (2018) - [j35]Behrooz Nasihatkon, Fredrik Kahl:
Multiresolution Search of the Rigid Motion Space for Intensity-Based Registration. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 179-191 (2018) - [j34]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): 2610-2628 (2018) - [j33]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): 37-52 (2018) - [c98]Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin:
Rotation Averaging and Strong Duality. CVPR 2018: 127-135 - [c97]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: 8601-8610 - [c96]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: 391-408 - 2017
- [j32]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): 1455-1461 (2017) - [c95]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: 564-579 - [c94]Carl Toft, Carl Olsson, Fredrik Kahl:
Long-Term 3D Localization and Pose from Semantic Labellings. ICCV Workshops 2017: 650-659 - [c93]Måns Larsson, Jennifer Alvén, Fredrik Kahl:
Max-Margin Learning of Deep Structured Models for Semantic Segmentation. SCIA (2) 2017: 28-40 - [c92]Måns Larsson, Yuhang Zhang, Fredrik Kahl:
Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks. SCIA (2) 2017: 41-52 - [p1]Frida Fejne, Matilda Landgren, Jennifer Alvén, Johannes Ulén, Johan Fredriksson, Viktor Larsson, Olof Enqvist, Fredrik Kahl:
Multiatlas Segmentation Using Robust Feature-Based Registration. Cloud-Based Benchmarking of Medical Image Analysis 2017: 203-218 - [i4]Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley:
Learning Arbitrary Potentials in CRFs with Gradient Descent. CoRR abs/1701.06805 (2017) - [i3]Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Olof Enqvist, Tat-Jun Chin:
Why Rotation Averaging is Easy. CoRR abs/1705.01362 (2017) - 2016
- [j31]Johan Fredriksson, Viktor Larsson, Carl Olsson, Olof Enqvist, Fredrik Kahl:
Efficient algorithms for robust estimation of relative translation. Image Vis. Comput. 52: 114-124 (2016) - [j30]Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl:
Überatlas: Fast and robust registration for multi-atlas segmentation. Pattern Recognit. Lett. 80: 249-255 (2016) - [j29]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): 375-391 (2016) - [j28]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): 2459-2475 (2016) - [c91]Viktor Larsson, Johan Fredriksson, Carl Toft, Fredrik Kahl:
Outlier Rejection for Absolute Pose Estimation with Known Orientation. BMVC 2016 - [c90]Johan Fredriksson, Viktor Larsson, Carl Olsson, Fredrik Kahl:
Optimal Relative Pose with Unknown Correspondences. CVPR 2016: 1728-1736 - [c89]Erik Bylow, Carl Olsson, Fredrik Kahl, Mikael G. Nilsson:
Minimizing the Maximal Rank. CVPR 2016: 5887-5895 - [c88]Behrooz Nasihatkon, Frida Fejne, Fredrik Kahl:
Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach. CVPR 2016: 5936-5944 - [c87]Jennifer Alvén, Fredrik Kahl, Matilda Landgren, Viktor Larsson, Johannes Ulén:
Shape-aware multi-atlas segmentation. ICPR 2016: 1101-1106 - [c86]Erik Bylow, Carl Olsson, Fredrik Kahl:
Robust online 3D reconstruction combining a depth sensor and sparse feature points. ICPR 2016: 3709-3714 - 2015
- [j27]Olof Enqvist, Erik Ask, Fredrik Kahl, Kalle Åström:
Tractable Algorithms for Robust Model Estimation. Int. J. Comput. Vis. 112(1): 115-129 (2015) - [j26]Fangyuan Jiang, Olof Enqvist, Fredrik Kahl:
A Combinatorial Approach to L1-Matrix Factorization. J. Math. Imaging Vis. 51(3): 430-441 (2015) - [j25]Johannes Ulén, Petter Strandmark, Fredrik Kahl:
Shortest Paths with Higher-Order Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2588-2600 (2015) - [c85]Viktor Larsson, Carl Olsson, Fredrik Kahl:
A Simple Method for Subspace Estimation with Corrupted Columns. ICCV Workshops 2015: 841-849 - [c84]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: 12-17 - [c83]Linus Svärm, Olof Enqvist, Fredrik Kahl, Magnus Oskarsson:
Improving robustness for inter-subject medical image registration using a feature-based approach. ISBI 2015: 824-828 - [c82]Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl:
Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentation. SCIA 2015: 92-102 - [i2]Behrooz Nasihatkon, Fredrik Kahl:
Multiresolution Search of the Rigid Motion Space for Intensity Based Registration. CoRR abs/1510.04004 (2015) - 2014
- [c81]Yubin Kuang, Jan Erik Solem, Fredrik Kahl, Kalle Åström:
Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion. CVPR 2014: 33-40 - [c80]Linus Svärm, Olof Enqvist, Magnus Oskarsson, Fredrik Kahl:
Accurate Localization and Pose Estimation for Large 3D Models. CVPR 2014: 532-539 - [c79]Johan Fredriksson, Olof Enqvist, Fredrik Kahl:
Fast and Reliable Two-View Translation Estimation. CVPR 2014: 1606-1612 - [c78]Viktor Larsson, Carl Olsson, Erik Bylow, Fredrik Kahl:
Rank Minimization with Structured Data Patterns. ECCV (3) 2014: 250-265 - [c77]Erik Ask, Olof Enqvist, Linus Svärm, Fredrik Kahl, Giuseppe Lippolis:
Tractable and Reliable Registration of 2D Point Sets. ECCV (1) 2014: 393-406 - [c76]Erik Bylow, Carl Olsson, Fredrik Kahl:
Robust Camera Tracking by Combining Color and Depth Measurements. ICPR 2014: 4038-4043 - 2013
- [j24]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): 288-304 (2013) - [j23]Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt:
Guest Editorial: Energy Optimization Methods. Int. J. Comput. Vis. 104(3): 221-222 (2013) - [j22]Johannes Ulén, Petter Strandmark, Fredrik Kahl:
An Efficient Optimization Framework for Multi-Region Segmentation Based on Lagrangian Duality. IEEE Trans. Medical Imaging 32(2): 178-188 (2013) - [c75]Erik Ask, Olof Enqvist, Fredrik Kahl:
Optimal Geometric Fitting under the Truncated L2-Norm. CVPR 2013: 1722-1729 - [c74]Jürgen Sturm, Erik Bylow, Fredrik Kahl, Daniel Cremers:
CopyMe3D: Scanning and Printing Persons in 3D. GCPR 2013: 405-414 - [c73]Petter Strandmark, Johannes Ulén, Fredrik Kahl, Leo J. Grady:
Shortest Paths with Curvature and Torsion. ICCV 2013: 2024-2031 - [c72]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 - [c71]Fangyuan Jiang, Olof Enqvist, Fredrik Kahl, Kalle Åström:
Improved Object Detection and Pose Using Part-Based Models. SCIA 2013: 396-407 - [e3]Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai:
Energy Minimization Methods in Computer Vision and Pattern Recognition - 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings. Lecture Notes in Computer Science 8081, Springer 2013, ISBN 978-3-642-40394-1 [contents] - 2012
- [j21]Fredrik Kahl, Petter Strandmark:
Generalized roof duality. Discret. Appl. Math. 160(16-17): 2419-2434 (2012) - [j20]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): 53-68 (2012) - [c70]Johan Fredriksson, Carl Olsson, Petter Strandmark, Fredrik Kahl:
Tighter Relaxations for Higher-Order Models Based on Generalized Roof Duality. ECCV Workshops (3) 2012: 273-282 - [c69]Olof Enqvist, Erik Ask, Fredrik Kahl, Kalle Åström:
Robust Fitting for Multiple View Geometry. ECCV (1) 2012: 738-751 - [c68]Petter Strandmark, Johannes Ulén, Fredrik Kahl:
HEp-2 staining pattern classification. ICPR 2012: 33-36 - 2011
- [j19]Petter Strandmark, Fredrik Kahl, Thomas Schoenemann:
Parallel and distributed vision algorithms using dual decomposition. Comput. Vis. Image Underst. 115(12): 1721-1732 (2011) - [j18]Anders P. Eriksson, Carl Olsson, Fredrik Kahl:
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints. J. Math. Imaging Vis. 39(1): 45-61 (2011) - [c67]Olof Enqvist, Fangyuan Jiang, Fredrik Kahl:
A brute-force algorithm for reconstructing a scene from two projections. CVPR 2011: 2961-2968 - [c66]Yubin Kuang, David G. Stork, Fredrik Kahl:
Improved curvature-based inpainting applied to fine art: recovering van Gogh's partially hidden brush strokes. Computer Vision and Image Analysis of Art 2011: 78690I - [c65]Thomas Schoenemann, Yubin Kuang, Fredrik Kahl:
Curvature Regularity for Multi-label Problems - Standard and Customized Linear Programming. EMMCVPR 2011: 163-176 - [c64]Petter Strandmark, Fredrik Kahl:
Curvature Regularization for Curves and Surfaces in a Global Optimization Framework. EMMCVPR 2011: 205-218 - [c63]Fredrik Kahl, Petter Strandmark:
Generalized roof duality for pseudo-boolean optimization. ICCV 2011: 255-262 - [c62]Olof Enqvist, Fredrik Kahl, Carl Olsson:
Non-sequential structure from motion. ICCV Workshops 2011: 264-271 - [c61]Johannes Ulén, Petter Strandmark, Fredrik Kahl:
Optimization for Multi-Region Segmentation of Cardiac MRI. STACOM 2011: 129-138 - [e2]Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt:
Energy Minimazation Methods in Computer Vision and Pattern Recognition - 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings. Lecture Notes in Computer Science 6819, Springer 2011, ISBN 978-3-642-23093-6 [contents] - [e1]Anders Heyden, Fredrik Kahl:
Image Analysis - 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011. Proceedings. Lecture Notes in Computer Science 6688, Springer 2011, ISBN 978-3-642-21226-0 [contents] - [i1]Thomas Schoenemann, Fredrik Kahl, Simon Masnou, Daniel Cremers:
A linear framework for region-based image segmentation and inpainting involving curvature penalization. CoRR abs/1102.3830 (2011) - 2010
- [j17]Carl Olsson, Fredrik Kahl:
Generalized Convexity in Multiple View Geometry. J. Math. Imaging Vis. 38(1): 35-51 (2010) - [j16]Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle Åström:
Global Optimization for One-Dimensional Structure and Motion Problems. SIAM J. Imaging Sci. 3(4): 1075-1095 (2010) - [c60]Petter Strandmark, Fredrik Kahl:
Parallel and distributed graph cuts by dual decomposition. CVPR 2010: 2085-2092
2000 – 2009
- 2009
- [j15]Richard I. Hartley, Fredrik Kahl:
Global Optimization through Rotation Space Search. Int. J. Comput. Vis. 82(1): 64-79 (2009) - [j14]Carl Olsson, Fredrik Kahl, Magnus Oskarsson:
Branch-and-Bound Methods for Euclidean Registration Problems. IEEE Trans. Pattern Anal. Mach. Intell. 31(5): 783-794 (2009) - [c59]Olof Enqvist, Fredrik Kahl:
Two View Geometry Estimation with Outliers. BMVC 2009 - [c58]Carl Olsson, Fredrik Kahl, Richard I. Hartley:
Projective least-squares: Global solutions with local optimization. CVPR 2009: 1216-1223 - [c57]