Anders P. Eriksson

According to our database1, Anders P. Eriksson authored at least 47 papers between 2004 and 2019.

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

Timeline

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PhD thesis 
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Bibliography

2019
Visual SLAM: Why Bundle Adjust?
CoRR, 2019

SASSE: Scalable and Adaptable 6-DOF Pose Estimation.
CoRR, 2019

2018
Star Tracking using an Event Camera.
CoRR, 2018

A Binary Optimization Approach for Constrained K-Means Clustering.
CoRR, 2018

Maximum Consensus Parameter Estimation by Reweighted ℓ1 Methods.
CoRR, 2018

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

Non-smooth M-estimator for Maximum Consensus Estimation.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Efficient Globally Optimal Consensus Maximisation with Tree Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Image2Mesh: A Learning Framework for Single Image 3D Reconstruction.
CoRR, 2017

Deterministic Approximate Methods for Maximum Consensus Robust Fitting.
CoRR, 2017

Compact Model Representation for 3D Reconstruction.
CoRR, 2017

Why Rotation Averaging is Easy.
CoRR, 2017

Maximum Consensus Parameter Estimation by Reweighted \ell _1 ℓ 1 Methods.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016
General, Nested, and Constrained Wiberg Minimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Fast Rotation Search with Stereographic Projections for 3D Registration.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Non-linear Dimensionality Regularizer for Solving Inverse Problems.
CoRR, 2016

A comparison of the yaw constraining performance of SCARA-tau parallel manipulator variants via screw theory.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

A Consensus-Based Framework for Distributed Bundle Adjustment.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Guaranteed Outlier Removal with Mixed Integer Linear Programs.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
High Breakdown Bundle Adjustment.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

The k-support norm and convex envelopes of cardinality and rank.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Efficient globally optimal consensus maximisation with tree search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
An Adversarial Optimization Approach to Efficient Outlier Removal.
Journal of Mathematical Imaging and Vision, 2014

Sampson distance based joint estimation of multiple homographies with uncalibrated cameras.
Computer Vision and Image Understanding, 2014

Analysis of the inverse kinematics problem for 3-DOF axis-symmetric parallel manipulators with parasitic motion.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

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

Pseudoconvex Proximal Splitting for L-infinity Problems in Multiview Geometry.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Fast Convolutional Sparse Coding.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Efficient Computation of Robust Weighted Low-Rank Matrix Approximations Using the L_1 Norm.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Visualizing Sentiment Analysis on a User Forum.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

2011
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints.
Journal of Mathematical Imaging and Vision, 2011

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

An adversarial optimization approach to efficient outlier removal.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Is face recognition really a Compressive Sensing problem?
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

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

Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Optimization on the manifold of multiple homographies.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008
Optimization Methods for Large Scale Combinatorial Problems and Bijectivity Constrained Image Deformations.
PhD thesis, 2008

Improved spectral relaxation methods for binary quadratic optimization problems.
Computer Vision and Image Understanding, 2008

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

Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints.
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
Bijective Image Registration using Thin-Plate Splines..
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2004
Robustness and Specificity in Object Detection.
Proceedings of the 17th International Conference on Pattern Recognition, 2004


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