Anders P. Eriksson

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Deterministic Approximate Methods for Maximum Consensus Robust Fitting.

Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2021

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

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin

IEEE Trans. Pattern Anal. Mach. Intell., 2021

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

Mateusz Michalkiewicz, Stavros Tsogkas, Sarah Parisot, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky

CoRR, 2021

Visual Localisation for Knee Arthroscopy.

Artur Banach, Mario Strydom, Anjali Tumkur Jaiprakash, Gustavo Carneiro, Anders P. Eriksson, Ross Crawford, Aaron McFadyen

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.

D. Nathasha U. Naranpanawa, Yanyang Gu, Shekhar S. Chandra, Brigid Betz-Stablein, Richard A. Sturm, H. Peter Soyer, Anders P. Eriksson

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging.

Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian Reid

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Implicitly Defined Layers in Neural Networks.

Qianggong Zhang, Yanyang Gu, Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Anders P. Eriksson

CoRR, 2020

Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors.

Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky

Proceedings of the Computer Vision - ECCV 2020, 2020

A Simple and Scalable Shape Representation for 3D Reconstruction.

Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks.

Dominic Jack, Frédéric Maire, Simon Denman, Anders P. Eriksson

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).

Tat-Jun Chin, Anders P. Eriksson, Yasuyuki Matsushita

NII Shonan Meet. Rep., 2019

SASSE: Scalable and Adaptable 6-DOF Pose Estimation.

Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford

CoRR, 2019

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

Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson

CoRR, 2019

3D Move to See: Multi-perspective visual servoing towards the next best view within unstructured and occluded environments.

Chris Lehnert, Dorian Tsai, Anders P. Eriksson, Chris McCool

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Visual SLAM: Why Bundle Adjust?

Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid

Proceedings of the International Conference on Robotics and Automation, 2019

Implicit Surface Representations As Layers in Neural Networks.

Mateusz Michalkiewicz, Jhony Kaesemodel Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson

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.

Dominic Jack, Frédéric Maire, Sareh Shirazi, Anders P. Eriksson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Star Tracking Using an Event Camera.

Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik

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.

Christopher F. Lehnert, Dorian Tsai, Anders P. Eriksson, Chris McCool

CoRR, 2018

Maximum Consensus Parameter Estimation by Reweighted ℓ₁ Methods.

Pulak Purkait, Christopher Zach, Anders P. Eriksson

CoRR, 2018

Rotation Averaging and Strong Duality.

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Non-smooth M-estimator for Maximum Consensus Estimation.

Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter

Proceedings of the British Machine Vision Conference 2018, 2018

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

Jhony K. Pontes, Chen Kong, Sridha Sridharan, Simon Lucey, Anders P. Eriksson, Clinton Fookes

Proceedings of the Computer Vision - ACCV 2018, 2018

A Binary Optimization Approach for Constrained K-Means Clustering.

Huu M. Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford

Proceedings of the Computer Vision - ACCV 2018, 2018

Learning Free-Form Deformations for 3D Object Reconstruction.

Dominic Jack, Jhony K. Pontes, Sridha Sridharan, Clinton Fookes, Sareh Shirazi, Frédéric Maire, Anders P. Eriksson

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Evaluation of Keypoint Detectors and Descriptors in Arthroscopic Images for Feature-Based Matching Applications.

Andres Marmol, Thierry Peynot, Anders P. Eriksson, Anjali Tumkur Jaiprakash, Jonathan Roberts, Ross Crawford

IEEE Robotics Autom. Lett., 2017

Efficient Globally Optimal Consensus Maximisation with Tree Search.

Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Deterministic Approximate Methods for Maximum Consensus Robust Fitting.

Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter

CoRR, 2017

Why Rotation Averaging is Easy.

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Olof Enqvist, Tat-Jun Chin

CoRR, 2017

Maximum Consensus Parameter Estimation by Reweighted \ell _1 ℓ 1 Methods.

Pulak Purkait, Christopher Zach, Anders P. Eriksson

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Richardson-Lucy Deblurring for Moving Light Field Cameras.

Donald G. Dansereau, Anders P. Eriksson, Jürgen Leitner

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Compact Model Representation for 3D Reconstruction.

Jhony Kaesemodel Pontes, Chen Kong, Anders P. Eriksson, Clinton Fookes, Sridha Sridharan, Simon Lucey

Proceedings of the 2017 International Conference on 3D Vision, 2017

Adversarially Parameterized Optimization for 3D Human Pose Estimation.

Dominic Jack, Frédéric Maire, Anders P. Eriksson, Sareh Shirazi

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

General, Nested, and Constrained Wiberg Minimization.

Dennis Strelow, Qifan Wang, Luo Si, Anders P. Eriksson

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Fast Rotation Search with Stereographic Projections for 3D Registration.

Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Hongdong Li, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Non-linear Dimensionality Regularizer for Solving Inverse Problems.

Ravi Garg, Anders P. Eriksson, Ian D. Reid

CoRR, 2016

Motion Deblurring for Light Fields.

Donald G. Dansereau, Anders P. Eriksson, Jürgen Leitner

CoRR, 2016

Speaker Comparison for Forensic and Investigative Applications II.

Jean-François Bonastre, Joseph P. Campbell, Anders P. Eriksson, Hirotaka Nakasone, Reva Schwartz

Proceedings of the Interspeech 2016, 2016

A comparison of the yaw constraining performance of SCARA-tau parallel manipulator variants via screw theory.

Mats Isaksson, Kristan Marlow, Torgny Brogardh, Anders P. Eriksson

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

A Consensus-Based Framework for Distributed Bundle Adjustment.

Anders P. Eriksson, John Bastian, Tat-Jun Chin, Mats Isaksson

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Guaranteed Outlier Removal with Mixed Integer Linear Programs.

Tat-Jun Chin, Yang Heng Kee, Anders P. Eriksson, Frank Neumann

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

High Breakdown Bundle Adjustment.

Anders P. Eriksson, Mats Isaksson, Tat-Jun Chin

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

The k-support norm and convex envelopes of cardinality and rank.

Anders P. Eriksson, Trung-Thanh Pham, Tat-Jun Chin, Ian D. Reid

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

An Adversarial Optimization Approach to Efficient Outlier Removal.

Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter

J. Math. Imaging Vis., 2014

Sampson distance based joint estimation of multiple homographies with uncalibrated cameras.

Zygmunt L. Szpak, Wojciech Chojnacki, Anders P. Eriksson, Anton van den Hengel

Comput. Vis. Image Underst., 2014

Analysis of the inverse kinematics problem for 3-DOF axis-symmetric parallel manipulators with parasitic motion.

Mats Isaksson, Anders P. Eriksson, Saeid Nahavandi

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Local Refinement for Stereo Regularization.

Carl Olsson, Johannes Ulén, Anders P. Eriksson

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Pseudoconvex Proximal Splitting for L-infinity Problems in Multiview Geometry.

Anders P. Eriksson, Mats Isaksson

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Fast Convolutional Sparse Coding.

Hilton Bristow, Anders P. Eriksson, Simon Lucey

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.

Anders P. Eriksson, Anton van den Hengel

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Visualizing Sentiment Analysis on a User Forum.

Rasmus Sundberg, Anders P. Eriksson, Johan Bini, Pierre Nugues

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

2011

Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints.

Anders P. Eriksson, Carl Olsson, Fredrik Kahl

J. Math. Imaging Vis., 2011

Triangulating a Plane.

Carl Olsson, Anders P. Eriksson

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Is face recognition really a Compressive Sensing problem?

Qinfeng Shi, Anders P. Eriksson, Anton van den Hengel, Chunhua Shen

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Outlier removal using duality.

Carl Olsson, Anders P. Eriksson, Richard I. Hartley

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.

Anders P. Eriksson, Anton van den Hengel

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Optimization on the manifold of multiple homographies.

Anders P. Eriksson, Anton van den Hengel

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.

Anders P. Eriksson

PhD thesis, 2008

Improved spectral relaxation methods for binary quadratic optimization problems.

Carl Olsson, Anders P. Eriksson, Fredrik Kahl

Comput. Vis. Image Underst., 2008

Solving quadratically constrained geometrical problems using lagrangian duality.

Carl Olsson, Anders P. Eriksson

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Image Segmentation with Context.

Anders P. Eriksson, Carl Olsson, Fredrik Kahl

Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Efficient Optimization for L-problems using Pseudoconvexity.

Carl Olsson, Anders P. Eriksson, Fredrik Kahl

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming.

Carl Olsson, Anders P. Eriksson, Fredrik Kahl

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Efficiently Solving the Fractional Trust Region Problem.

Anders P. Eriksson, Carl Olsson, Fredrik Kahl

Proceedings of the Computer Vision, 2007

2006

Bijective Image Registration using Thin-Plate Splines..

Anders P. Eriksson, Kalle Åström

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2004

Robustness and Specificity in Object Detection.

Anders P. Eriksson, Kalle Åström

Proceedings of the 17th International Conference on Pattern Recognition, 2004