Anders P. Eriksson

According to our database1, Anders P. Eriksson authored at least 66 papers between 2004 and 2021.

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

Timeline

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Bibliography

2021
Deterministic Approximate Methods for Maximum Consensus Robust Fitting.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

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

Learning Compositional Shape Priors for Few-Shot 3D Reconstruction.
CoRR, 2021

Visual Localisation for Knee Arthroscopy.
Int. J. Comput. Assist. Radiol. Surg., 2021

Slim-YOLO: A Simplified Object Detection Model for the Detection of Pigmented Iris Freckles as a Potential Biomarker for Cutaneous Melanoma.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Implicitly Defined Layers in Neural Networks.
CoRR, 2020

Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Simple and Scalable Shape Representation for 3D Reconstruction.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Optimization Methods in Geometric Vision (NII Shonan Meeting 140).
NII Shonan Meet. Rep., 2019

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

Deep Level Sets: Implicit Surface Representations for 3D Shape Inference.
CoRR, 2019

3D Move to See: Multi-perspective visual servoing towards the next best view within unstructured and occluded environments.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Visual SLAM: Why Bundle Adjust?
Proceedings of the International Conference on Robotics and Automation, 2019

Implicit Surface Representations As Layers in Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Star Tracking Using an Event Camera.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation.
CoRR, 2018

Maximum Consensus Parameter Estimation by Reweighted ℓ<sub>1</sub> 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

Image2Mesh: A Learning Framework for Single Image 3D Reconstruction.
Proceedings of the Computer Vision - ACCV 2018, 2018

A Binary Optimization Approach for Constrained K-Means Clustering.
Proceedings of the Computer Vision - ACCV 2018, 2018

Learning Free-Form Deformations for 3D Object Reconstruction.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Evaluation of Keypoint Detectors and Descriptors in Arthroscopic Images for Feature-Based Matching Applications.
IEEE Robotics Autom. Lett., 2017

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

Deterministic Approximate Methods for Maximum Consensus Robust Fitting.
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

Richardson-Lucy Deblurring for Moving Light Field Cameras.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Compact Model Representation for 3D Reconstruction.
Proceedings of the 2017 International Conference on 3D Vision, 2017

Adversarially Parameterized Optimization for 3D Human Pose Estimation.
Proceedings of the 2017 International Conference on 3D Vision, 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

Motion Deblurring for Light Fields.
CoRR, 2016

Speaker Comparison for Forensic and Investigative Applications II.
Proceedings of the Interspeech 2016, 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

2014
An Adversarial Optimization Approach to Efficient Outlier Removal.
J. Math. Imaging Vis., 2014

Sampson distance based joint estimation of multiple homographies with uncalibrated cameras.
Comput. Vis. Image Underst., 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.
J. Math. Imaging Vis., 2011

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

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

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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