Fredrik Kahl

Professor at Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Fredrik Kahl is a Full Professor and leader of the Computer Vision Group.

Source: chalmers.se

Showing 43 publications

2018

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

Torsten Sattler, Will Maddern, Carl Toft et al
2018 IEEE Conference on Computer Vision and Pattern Recognition
Paper in proceedings
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. Vol. 10746, p. 564-579
Paper in proceedings
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
Paper in proceedings
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

Shape-aware label fusion for multi-atlas frameworks

Jennifer Alvén, Fredrik Kahl, Olof Enqvist
Pattern Recognition Letters
Journal article
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 proceedings
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, p. 28-40
Paper in proceedings
2017

Robust abdominal organ segmentation using regional convolutional neural networks

Måns Larsson, Zhang Yuhang, Fredrik Kahl
Lecture Notes in Computer Science, p. 41-52
Paper in proceedings
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
Paper in proceedings
2017

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 proceedings
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
Paper in proceedings
2017

Shape-aware multi-atlas segmentation

Jennifer Alvén, Fredrik Kahl, Johan Fredriksson et al
Proceedings - 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, 4-8 December 2016, p. 1101-1106
Paper in proceedings
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 proceedings
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

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 proceedings
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 proceedings
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

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 proceedings
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
Conference contribution
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-
Journal article
2016

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
2016

Deepseg: Abdominal Organ Segmentation Using Deep Convolutional Neural Networks

Måns Larsson, Yuhang Zhang, Fredrik Kahl
SSBA
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. Vol. 9127, p. 92-102
Paper in proceedings
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 proceedings
2015

Shortest Paths with Higher-Order Regularization

Johannes Ulén, Petter Strandmark, Fredrik Kahl
IEEE Transactions on Pattern Analysis and Machine Intelligence
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 proceedings
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 proceedings
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 proceedings
2014

Tractable and Reliable Registration of 2D Point Sets

Erik Ask, Olof Enqvist, Linus Svärm et al
Lecture Notes in Computer Science. Vol. 8689 (PART 1), p. 393-406
Paper in proceedings
2014

Robust Camera Tracking by Combining Color and Depth Measurements

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

Rank Minimization with Structured Data Patterns

Viktor Larsson, Carl Olsson, Erik Bylow et al
Lecture Notes in Computer Science. Vol. 8691 (PART 3), p. 250-265
Paper in proceedings
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 proceedings
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 proceedings

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Showing 6 research projects

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 Area of Advance Transport

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

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)

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