Fredrik Kahl

Full Professor at Signal Processing and Biomedical Engineering

Fredrik Kahl is a Full Professor and leader of the Computer Vision Group. My research interests include optimization, geometry, machine learning, medical image analysis and mathematics in general.

NEWS! (March 2022) I am the main PI for a new WASP-NEST research project, entitled 3D Scene Perception, Embeddings and Neural Rendering, see https://neural3d.github.io/. Starting April 2022. We are currently looking for PhD students and postdocs to join the project.

Source: chalmers.se
Image of Fredrik Kahl

Showing 61 publications

2022

On the Tightness of Semidefinite Relaxations for Rotation Estimation

Lucas Brynte, Viktor Larsson, José Pedro Lopes Iglesias et al
Journal of Mathematical Imaging and Vision. Vol. 64 (1), p. 57-67
Journal article
2022

Long-Term Visual Localization Revisited

Carl Toft, Will Maddern, Akihiko Torii et al
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 44 (4), p. 2074-2088
Journal article
2022

Development of a novel method to measure bone marrow fat fraction in older women using high-resolution peripheral quantitative computed tomography

Alison Flehr, Julius Källgård, Jennifer Alvén et al
Osteoporosis International. Vol. In Press
Journal article
2021

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

Paul-Edouard Sarlin, Ajaykumar Unagar, Mans Larsson et al
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, p. 3246-3256
Paper in proceeding
2021

A quasiconvex formulation for radial cameras

Carl Olsson, Viktor Larsson, Fredrik Kahl
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 14571-14580
Paper in proceeding
2021

How privacy-preserving are line clouds? Recovering scene details from 3D lines

Kunal Chelani, Fredrik Kahl, Torsten Sattler
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 15663-15673
Paper in proceeding
2021

CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization

Ara Jafarzadeh, Manuel López Antequera, Pau Gargallo et al
Proceedings of the IEEE International Conference on Computer Vision, p. 9825-9835
Paper in proceeding
2021

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

Anders Eriksson, Carl Olsson, Fredrik Kahl et al
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 43 (1), p. 256-268
Journal article
2020

Single-Image Depth Prediction Makes Feature Matching Easier

Carl Toft, Daniyar Turmukhambetov, Torsten Sattler et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12361 LNCS, p. 473-492
Paper in proceeding
2020

Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors

Lucas Brynte, Fredrik Kahl
Proceedings of the British Machine Vision Conference 2020
Paper in proceeding
2020

Global Optimality for Point Set Registration Using Semidefinite Programming

José Pedro Lopes Iglesias, Carl Olsson, Fredrik Kahl
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2020, p. 8284-8292
Paper in proceeding
2019

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

Måns Larsson, Erik Stenborg, Carl Toft et al
Proceedings of the IEEE International Conference on Computer Vision (October), p. 31-41
Paper in proceeding
2019

A cross-season correspondence dataset for robust semantic segmentation

Måns Larsson, Erik Stenborg, Lars Hammarstrand et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2019-June, p. 9524-9534
Paper in proceeding
2019

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

Jennifer Alvén, Kerstin Heurling, Ruben Smith et al
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. MICCAI 2019. Lecture Notes in Computer Science. Vol. 11765, p. 355-363
Paper in proceeding
2019

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

Erik Bylow, Robert Maier, Fredrik Kahl et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11482 LNCS, p. 261-274
Paper in proceeding
2019

Shape-aware label fusion for multi-atlas frameworks

Jennifer Alvén, Fredrik Kahl, Olof Enqvist
Pattern Recognition Letters. Vol. 124, p. 109-117
Journal article
2018

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

Torsten Sattler, Will Maddern, Carl Toft et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 8601-8610
Paper in proceeding
2018

A projected gradient descent method for crf inference allowing end-to-end training of arbitrary pairwise potentials

Måns Larsson, Anurag Arnab, Fredrik Kahl et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10746, p. 564-579
Paper in proceeding
2018

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

Seyed Behrooz Nasihatkon, Fredrik Kahl
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 40 (1), p. 179-191
Journal article
2018

Rotation Averaging and Strong Duality

Anders Eriksson, Carl Olsson, Fredrik Kahl et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 127-135
Paper in proceeding
2018

Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks

Måns Larsson, Zhang Yuhang, Fredrik Kahl
Applied Soft Computing Journal. Vol. 70, p. 465-470
Journal article
2018

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

Giasemi Koutouzi, Behrooz Nasihatkton, Monika Danielak-Nowak et al
BMC Medical Imaging. Vol. 18 (1)
Journal article
2018

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

Måns Larsson, Anurag Arnab, Shuai Zheng et al
SIAM Journal on Imaging Sciences. Vol. 11 (4), p. 2610-2628
Journal article
2018

Semantic Match Consistency for Long-Term Visual Localization

Carl Toft, Erik Stenborg, Lars Hammarstrand et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11206 LNCS, p. 391-408
Paper in proceeding
2018

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

Anurag Arnab, Shuai Zheng, Sadeep Jayasumana et al
IEEE Signal Processing Magazine. Vol. 35 (1), p. 37-52
Journal article
2017

Long-term 3D Localization and Pose from Semantic Labellings

Carl Toft, Carl Olsson, Fredrik Kahl
IEEE International Conference on Computer Vision Workshops, p. 650-659
Paper in proceeding
2017

Multiatlas Segmentation Using Robust Feature-Based Registration

Frida Fejne, Matilda Landgren, Jennifer Alvén et al
, Cloud-Based Benchmarking of Medical Image Analysis, p. 203-218
Book chapter
2017

Max-margin learning of deep structured models for semantic segmentation

Måns Larsson, Jennifer Alvén, Fredrik Kahl
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10270 LNCS, p. 28-40
Paper in proceeding
2017

Robust abdominal organ segmentation using regional convolutional neural networks

Måns Larsson, Zhang Yuhang, Fredrik Kahl
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10270 LNCS, p. 41-52
Paper in proceeding
2017

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

May Sadik, Eirini Polymeri, Reza Kaboteh et al
Journal of Nuclear Medicine. Vol. 58 (supplement 1)
Journal article
2017

3D prostate gland uptake of 18F-choline - association with overall survival in patients with hormone-naïve prostate cancer

May Sadik, Eirini Polymeri, Reza Kaboteh et al
Journal of Nuclear Medicine. Vol. 58 (supplement 1), p. 544-
Journal article
2017

City-scale localization for cameras with known vertical direction

Linus Svärm, Olof Enqvist, Fredrik Kahl et al
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 39 (7), p. 1455-1461
Journal article
2017

3D skeletal uptake of F-18 sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

S. L. Belal, M. Sadik, R. Kaboteh et al
EJNMMI Research. Vol. 7 (1)
Journal article
2016

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

Alexander Norlén, Jennifer Alvén, David Molnar et al
Journal of Medical Imaging. Vol. 3 (3), p. Article number 034003-
Journal article
2016

Minimizing the maximal rank

Erik Bylow, Carl Olsson, Fredrik Kahl et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2016-January, p. 5887-5895
Paper in proceeding
2016

Globally optimal rigid intensity based registration: A fast fourier domain approach

Seyed Behrooz Nasihatkon, Frida Fejne, Fredrik Kahl
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2016-January, p. 5936-5944
Paper in proceeding
2016

Überatlas: Fast and robust registration for multi-atlas segmentation

Jennifer Alvén, Alexander Norlén, Olof Enqvist et al
Pattern Recognition Letters. Vol. 80, p. 249-255
Journal article
2016

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

Oscar Jimenez-Del-Toro, Henning Muller, Markus Krenn et al
IEEE Transactions on Medical Imaging. Vol. 35 (11), p. 2459-2475
Journal article
2016

Image Fusion of Reconstructed Digital Tomosynthesis Volumes From a Frontal and a Lateral Acquisition

Jonathan Arvidsson, Christina Söderman, Åse (Allansdotter) Johnsson et al
Radiation protection dosimetry. Vol. 169 (1-4), p. 410-415
Journal article
2016

A Simple Method for Subspace Estimation with Corrupted Columns

Viktor Larsson, Claes Olsson, Fredrik Kahl
15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015; Santiago; Chile; 11 December 2015 through 18 December 2015. Vol. 2016-February, p. 841-849
Paper in proceeding
2016

Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging

Mohammad Alipoor, Irene Yu-Hua Gu, Stephan E. Maier et al
IEEE Transactions on Computational Imaging. Vol. 2 (3), p. 375-391
Journal article
2016

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

E. Bylow, Claes Olsson, Fredrik Kahl
Proceedings - 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, 4-8 December 2016, p. 3709-3714
Paper in proceeding
2016

Optimal relative pose with unknown correspondences

Johan Fredriksson, Viktor Larsson, Carl Olsson et al
2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, United States, 26 - 1 July 2016. Vol. 2016-January, p. 1728-1736
Paper in proceeding
2016

Automated segmentation of the skeleton in PET/CT scans

May Sadik, Reza Kaboteh, N. Hasani et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 43, p. S392-S392
Other conference contribution
2016

Shape-aware multi-atlas segmentation

Jennifer Alvén, Fredrik Kahl, Matilda Landgren et al
Proceedings - International Conference on Pattern Recognition. Vol. 0, p. 1101-1106
Paper in proceeding
2016

Efficient algorithms for robust estimation of relative translation

Johan Fredriksson, Viktor Larsson, Carl Olsson et al
Image and Vision Computing. Vol. 52, p. 114-124
Journal article
2016

Deepseg: Abdominal Organ Segmentation Using Deep Convolutional Neural Networks

Måns Larsson, Yuhang Zhang, Fredrik Kahl
SSBA
Other conference contribution
2015

Optimal Experiment Design for Mono-Exponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging

Mohammad Alipoor, Stephan E Maier, Irene Yu-Hua Gu et al
BioMed Research International. Vol. 2015, p. Article nr 138060-
Journal article
2015

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

Jennifer Alvén, Alexander Norlén, Olof Enqvist et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9127, p. 92-102
Paper in proceeding
2015

Good Features for Reliable Registration in Multi-Atlas Segmentation

Fredrik Kahl, Jennifer Alvén, Olof Enqvist et al
Proceedings of the VISCERAL Anatomy3 Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015). Vol. 1390 (January), p. 12-17
Paper in proceeding
2015

Shortest Paths with Higher-Order Regularization

Johannes Ulén, Petter Strandmark, Fredrik Kahl
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 37 (12), p. 2588-2600
Journal article
2015

Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach

Linus Svärm, Olof Enqvist, Fredrik Kahl et al
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 16-19 April 2015, p. 824-828
Paper in proceeding
2015

A Combinatorial Approach to L1-Matrix Factorization

Fangyuan Jiang, Olof Enqvist, Fredrik Kahl
Journal of Mathematical Imaging and Vision. Vol. 51 (3), p. 430-441
Journal article
2015

Tractable Algorithms for Robust Model Estimation

Olof Enqvist, Erik Ask, Fredrik Kahl et al
International Journal of Computer Vision. Vol. 112 (1), p. 115-129
Journal article
2014

Minimal solvers for relative pose with a single unknown radial distortion

Y. Kuang, J.E. Solem, Fredrik Kahl et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 33-40
Paper in proceeding
2014

Accurate Localization and Pose Estimation for Large 3D Models

Linus Svärm, Olof Enqvist, Magnus Oskarsson et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 532-539
Paper in proceeding
2014

Tractable and Reliable Registration of 2D Point Sets

Erik Ask, Olof Enqvist, Linus Svärm et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8689 (PART 1), p. 393-406
Paper in proceeding
2014

Robust Camera Tracking by Combining Color and Depth Measurements

Erik Bylow, Carl Olsson, Fredrik Kahl
International Conference on Pattern Recognition
Paper in proceeding
2014

Rank Minimization with Structured Data Patterns

Viktor Larsson, Carl Olsson, Erik Bylow et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8691 (PART 3), p. 250-265
Paper in proceeding
2014

Fast and Reliable Two-View Translation Estimation

Johan Fredriksson, Olof Enqvist, Fredrik Kahl
27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, United States, 23-28 June 2014, p. 1606-1612
Paper in proceeding
2013

Shortest Paths with Curvature and Torsion

Petter Strandmark, Johannes Ulén, Fredrik Kahl et al
International Conference on Computer Vision, p. 2024-2031
Paper in proceeding

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Showing 14 research projects

2021–2022

Deep learning-based out of distribution detection of computed tomography images

Fredrik Kahl Imaging and Image Analysis
Ida Häggström Imaging and Image Analysis
VINNOVA

2020–2022

Geometric Deep Learning

Fredrik Kahl Imaging and Image Analysis
Axel Flinth Imaging and Image Analysis
Chalmers AI Research Centre (CHAIR)

2020–2025

Semi-supervised Learning for Medical Image Analysis

Fredrik Kahl Imaging and Image Analysis
Roman Naeem Imaging and Image Analysis
David Hagerman Olzon Signal Processing
Lennart Svensson Signal Processing
MedTech West

2020–2024

Robust and precise Semi-Supervised Learning schemes

Lars Hammarstrand Signal Processing
Erik Wallin Signal Processing
Lennart Svensson Signal Processing
Fredrik Kahl Computer vision and medical image analysis
Wallenberg AI, Autonomous Systems and Software Program

2020–2021

Deep Learning for Extracting Tree Structures in Medical Images

Fredrik Kahl Imaging and Image Analysis
Jennifer Alvén Imaging and Image Analysis
Chalmers AI Research Centre (CHAIR)

2019–2022

Optimization Methods with Performance Guarantees for Subspace Learning

Carl Olsson Imaging and Image Analysis
Fredrik Kahl Imaging and Image Analysis
Swedish Research Council (VR)

2019–2021

INNER: information theory of deep neural networks

Giuseppe Durisi Communication Systems
Fredrik Kahl Imaging and Image Analysis
Chalmers AI Research Centre (CHAIR)

2018–2019

3D Perception and Prediction of Pedestrians for Improved Decision-Taking in Autonomous Driving and Active Safety

Jonas Sjöberg Mechatronics
Fredrik Kahl Imaging and Image Analysis
Amir Shahroudy Imaging and Image Analysis
Chalmers

2018–

Deep Learning for 3D Recognition

Lucas Brynte Imaging and Image Analysis
Fredrik Kahl Imaging and Image Analysis
Wallenberg AI, Autonomous Systems and Software Program

2017–2019

Skin Disease Assessment Using Computer Vision

Fredrik Kahl Imaging and Image Analysis
VINNOVA

2017–2019

Perceptron

Fredrik Kahl Imaging and Image Analysis
VINNOVA

2017–2020

Integrering av geometri och semantik i datorseende

Fredrik Kahl Imaging and Image Analysis
Swedish Research Council (VR)

2016–2021

Semantic Mapping and Visual Navigation for Smart Robots

Fredrik Kahl Imaging and Image Analysis
Carl Toft Imaging and Image Analysis
Carl Olsson Imaging and Image Analysis
Swedish Foundation for Strategic Research (SSF)

2013–2016

Robusta och tillförlitliga metoder för modellanpassning i datorseende

Fredrik Kahl Imaging and Image Analysis
Swedish Research Council (VR)

There might be more projects where Fredrik Kahl participates, but you have to be logged in as a Chalmers employee to see them.