Carl Olsson

Orcid: 0000-0003-3545-7695

According to our database1, Carl Olsson authored at least 71 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hierarchical Time-of-Arrival Self-Calibration Using Robust Receiver Distance Averaging.
Proceedings of the 32nd European Signal Processing Conference, 2024

Learned Trajectory Embedding for Subspace Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Structure-From-Motion with Graph Attention Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
expOSE: Accurate Initialization-Free Projective Factorization using Exponential Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Revisiting the P3P Problem.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
An Unbiased Approach to Low Rank Recovery.
SIAM J. Optim., December, 2022

Bias Versus Non-Convexity in Compressed Sensing.
J. Math. Imaging Vis., 2022

On the Tightness of Semidefinite Relaxations for Rotation Estimation.
J. Math. Imaging Vis., 2022

2021
Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Relaxations for Non-Separable Cardinality/Rank Penalties.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Radial Distortion Invariant Factorization for Structure from Motion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Bilinear Parameterization for Non-Separable Singular Value Penalties.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Quasiconvex Formulation for Radial Cameras.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Parameterization of Ambiguity in Monocular Depth Prediction.
Proceedings of the International Conference on 3D Vision, 2021

2020
Monocular Depth Parameterizing Networks.
CoRR, 2020

Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion.
Proceedings of the Computer Vision - ECCV 2020, 2020

Bilinear Parameterization For Differentiable Rank-Regularization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Unified Optimization Framework for Low-Rank Inducing Penalties.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Global Optimality for Point Set Registration Using Semidefinite Programming.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models.
Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019

Differentiable Fixed-Rank Regularisation using Bilinear Parameterisation.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Rotation Averaging and Strong Duality.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Convex envelopes for fixed rank approximation.
Optim. Lett., 2017

Why Rotation Averaging is Easy.
CoRR, 2017

Long-Term 3D Localization and Pose from Semantic Labellings.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

A Non-convex Relaxation for Fixed-Rank Approximation.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Non-convex Rank/Sparsity Regularization and Local Minima.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Compact Matrix Factorization with Dependent Subspaces.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Efficient algorithms for robust estimation of relative translation.
Image Vis. Comput., 2016

Convex Low Rank Approximation.
Int. J. Comput. Vis., 2016

Robust online 3D reconstruction combining a depth sensor and sparse feature points.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Optimal Relative Pose with Unknown Correspondences.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Minimizing the Maximal Rank.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A Simple Method for Subspace Estimation with Corrupted Columns.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Practical robust two-view translation estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Local Refinement for Stereo Regularization.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Robust Camera Tracking by Combining Color and Depth Measurements.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Convex Envelopes for Low Rank Approximation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

Rank Minimization with Structured Data Patterns.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Verifying Global Minima for L 2 Minimization Problems in Multiple View Geometry.
Int. J. Comput. Vis., 2013

Simplifying Energy Optimization using Partial Enumeration
CoRR, 2013

Partial Enumeration and Curvature Regularization.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Simultaneous Fusion Moves for 3D-Label Stereo.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

In Defense of 3D-Label Stereo.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Point track creation in unordered image collections using Gomory-Hu trees.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Tighter Relaxations for Higher-Order Models Based on Generalized Roof Duality.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Curvature-based regularization for surface approximation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Simultaneous Multiple Rotation Averaging Using Lagrangian Duality.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints.
J. Math. Imaging Vis., 2011

Stable Structure from Motion for Unordered Image Collections.
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Triangulating a Plane.
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Non-sequential structure from motion.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010
Global Optimization for One-Dimensional Structure and Motion Problems.
SIAM J. Imaging Sci., 2010

Generalized Convexity in Multiple View Geometry.
J. Math. Imaging Vis., 2010

Outlier removal using duality.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Branch-and-Bound Methods for Euclidean Registration Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

A Convex Approach to Low Rank Matrix Approximation with Missing Data.
Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009

Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems.
Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009

Extending continuous cuts: Anisotropic metrics and expansion moves.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Projective least-squares: Global solutions with local optimization.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Improved spectral relaxation methods for binary quadratic optimization problems.
Comput. Vis. Image Underst., 2008

Solving quadratically constrained geometrical problems using lagrangian duality.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A polynomial-time bound for matching and registration with outliers.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Image Segmentation with Context.
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Efficient Optimization for L-problems using Pseudoconvexity.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

An L Approach to Structure and Motion Problems in 1D-Vision.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Efficiently Solving the Fractional Trust Region Problem.
Proceedings of the Computer Vision, 2007

2006
Optimal Estimation of Perspective Camera Pose.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

The Registration Problem Revisited: Optimal Solutions From Points, Lines and Planes.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006


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