Anders P. Eriksson

ORCID

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 51

Top Venues

CoRR

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

ICRA

Lund University, Sweden (PHD)

Education History

Lund University, Sweden

PHD

Publications

D. Nathasha U. Naranpanawa, Yanyang Gu, Shekhar S. Chandra, Brigid Betz-Stablein, Richard A. Sturm, H. Peter Soyer, Anders P. Eriksson
Slim-YOLO: A Simplified Object Detection Model for the Detection of Pigmented Iris Freckles as a Potential Biomarker for Cutaneous Melanoma. DICTA (2021)
Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter
Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Artur Banach, Mario Strydom, Anjali Tumkur Jaiprakash, Gustavo Carneiro, Anders P. Eriksson, Ross Crawford, Aaron McFadyen
Visual Localisation for Knee Arthroscopy. Int. J. Comput. Assist. Radiol. Surg. 16 (12) (2021)
Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian Reid
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. CVPR (2021)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin
Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Mateusz Michalkiewicz, Stavros Tsogkas, Sarah Parisot, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction. CoRR (2021)
Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. CoRR (2021)
Qianggong Zhang, Yanyang Gu, Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Anders P. Eriksson
Implicitly Defined Layers in Neural Networks. CoRR (2020)
Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson
A Simple and Scalable Shape Representation for 3D Reconstruction. CoRR (2020)
Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors. CoRR (2020)
Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors. ECCV (25) (2020)
Dominic Jack, Frédéric Maire, Simon Denman, Anders P. Eriksson
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks. CoRR (2020)
Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson
A Simple and Scalable Shape Representation for 3D Reconstruction. BMVC (2020)
Dominic Jack, Frédéric Maire, Simon Denman, Anders P. Eriksson
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks. ACCV (1) (2020)
Mateusz Michalkiewicz, Jhony Kaesemodel Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson
Implicit Surface Representations As Layers in Neural Networks. ICCV (2019)
Tat-Jun Chin, Anders P. Eriksson, Yasuyuki Matsushita
Optimization Methods in Geometric Vision (NII Shonan Meeting 140). NII Shonan Meet. Rep. 2019 (2019)
Dominic Jack, Frédéric Maire, Sareh Shirazi, Anders P. Eriksson
IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction. CVPR (2019)
Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
Visual SLAM: Why Bundle Adjust? CoRR (2019)
Chris Lehnert, Dorian Tsai, Anders P. Eriksson, Chris McCool
3D Move to See: Multi-perspective visual servoing towards the next best view within unstructured and occluded environments. IROS (2019)
Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson
Deep Level Sets: Implicit Surface Representations for 3D Shape Inference. CoRR (2019)
Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
Visual SLAM: Why Bundle Adjust? ICRA (2019)
Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford
SASSE: Scalable and Adaptable 6-DOF Pose Estimation. CoRR (2019)
Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik
Star Tracking Using an Event Camera. CVPR Workshops (2019)
Dominic Jack, Jhony K. Pontes, Sridha Sridharan, Clinton Fookes, Sareh Shirazi, Frédéric Maire, Anders P. Eriksson
Learning Free-Form Deformations for 3D Object Reconstruction. ACCV (2) (2018)
Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter
Non-smooth M-estimator for Maximum Consensus Estimation. BMVC (2018)
Dominic Jack, Jhony K. Pontes, Sridha Sridharan, Clinton Fookes, Sareh Shirazi, Frédéric Maire, Anders P. Eriksson
Learning Free-Form Deformations for 3D Object Reconstruction. CoRR (2018)
Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik
Star Tracking using an Event Camera. CoRR (2018)
Jhony K. Pontes, Chen Kong, Sridha Sridharan, Simon Lucey, Anders P. Eriksson, Clinton Fookes
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction. ACCV (1) (2018)
Huu Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford
A Binary Optimization Approach for Constrained K-Means Clustering. CoRR (2018)
Huu M. Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford
A Binary Optimization Approach for Constrained K-Means Clustering. ACCV (4) (2018)
Pulak Purkait, Christopher Zach, Anders P. Eriksson
Methods. CoRR (2018)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin
Rotation Averaging and Strong Duality. CVPR (2018)
Christopher F. Lehnert, Dorian Tsai, Anders P. Eriksson, Chris McCool
3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation. CoRR (2018)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Olof Enqvist, Tat-Jun Chin
Why Rotation Averaging is Easy. CoRR (2017)
Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter
Efficient Globally Optimal Consensus Maximisation with Tree Search. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Donald G. Dansereau, Anders P. Eriksson, Jürgen Leitner
Richardson-Lucy Deblurring for Moving Light Field Cameras. CVPR Workshops (2017)
Andres Marmol, Thierry Peynot, Anders P. Eriksson, Anjali Tumkur Jaiprakash, Jonathan Roberts, Ross Crawford
Evaluation of Keypoint Detectors and Descriptors in Arthroscopic Images for Feature-Based Matching Applications. IEEE Robotics Autom. Lett. 2 (4) (2017)
Dominic Jack, Frédéric Maire, Anders P. Eriksson, Sareh Shirazi
Adversarially Parameterized Optimization for 3D Human Pose Estimation. 3DV (2017)
Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter
Deterministic Approximate Methods for Maximum Consensus Robust Fitting. CoRR (2017)
Pulak Purkait, Christopher Zach, Anders P. Eriksson
Maximum Consensus Parameter Estimation by Reweighted \ell _1 ℓ 1 Methods. EMMCVPR (2017)
Jhony K. Pontes, Chen Kong, Anders P. Eriksson, Clinton Fookes, Sridha Sridharan, Simon Lucey
Compact Model Representation for 3D Reconstruction. CoRR (2017)
Jhony Kaesemodel Pontes, Chen Kong, Anders P. Eriksson, Clinton Fookes, Sridha Sridharan, Simon Lucey
Compact Model Representation for 3D Reconstruction. 3DV (2017)
Jhony K. Pontes, Chen Kong, Sridha Sridharan, Simon Lucey, Anders P. Eriksson, Clinton Fookes
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction. CoRR (2017)
Donald G. Dansereau, Anders P. Eriksson, Jürgen Leitner
Motion Deblurring for Light Fields. CoRR (2016)
Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Hongdong Li, David Suter
Fast Rotation Search with Stereographic Projections for 3D Registration. IEEE Trans. Pattern Anal. Mach. Intell. 38 (11) (2016)
Anders P. Eriksson, John Bastian, Tat-Jun Chin, Mats Isaksson
A Consensus-Based Framework for Distributed Bundle Adjustment. CVPR (2016)
Ravi Garg, Anders P. Eriksson, Ian D. Reid
Non-linear Dimensionality Regularizer for Solving Inverse Problems. CoRR (2016)
Tat-Jun Chin, Yang Heng Kee, Anders P. Eriksson, Frank Neumann
Guaranteed Outlier Removal with Mixed Integer Linear Programs. CVPR (2016)
Jean-François Bonastre, Joseph P. Campbell, Anders P. Eriksson, Hirotaka Nakasone, Reva Schwartz
Speaker Comparison for Forensic and Investigative Applications II. INTERSPEECH (2016)
Dennis Strelow, Qifan Wang, Luo Si, Anders P. Eriksson
General, Nested, and Constrained Wiberg Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 38 (9) (2016)
Mats Isaksson, Kristan Marlow, Torgny Brogardh, Anders P. Eriksson
A comparison of the yaw constraining performance of SCARA-tau parallel manipulator variants via screw theory. ICRA (2016)
Anders P. Eriksson, Trung-Thanh Pham, Tat-Jun Chin, Ian D. Reid
The k-support norm and convex envelopes of cardinality and rank. CVPR (2015)
Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter
Efficient globally optimal consensus maximisation with tree search. CVPR (2015)
Anders P. Eriksson, Mats Isaksson, Tat-Jun Chin
High Breakdown Bundle Adjustment. WACV (2015)
Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter
An Adversarial Optimization Approach to Efficient Outlier Removal. J. Math. Imaging Vis. 48 (3) (2014)
Carl Olsson, Johannes Ulén, Anders P. Eriksson
Local Refinement for Stereo Regularization. ICPR (2014)
Zygmunt L. Szpak, Wojciech Chojnacki, Anders P. Eriksson, Anton van den Hengel
Sampson distance based joint estimation of multiple homographies with uncalibrated cameras. Comput. Vis. Image Underst. 125 (2014)
Anders P. Eriksson, Mats Isaksson
Pseudoconvex Proximal Splitting for L-infinity Problems in Multiview Geometry. CVPR (2014)
Mats Isaksson, Anders P. Eriksson, Saeid Nahavandi
Analysis of the inverse kinematics problem for 3-DOF axis-symmetric parallel manipulators with parasitic motion. ICRA (2014)
Hilton Bristow, Anders P. Eriksson, Simon Lucey
Fast Convolutional Sparse Coding. CVPR (2013)
Rasmus Sundberg, Anders P. Eriksson, Johan Bini, Pierre Nugues
Visualizing Sentiment Analysis on a User Forum. LREC (2012)
Anders P. Eriksson, Anton van den Hengel
Efficient Computation of Robust Weighted Low-Rank Matrix Approximations Using the L_1 Norm. IEEE Trans. Pattern Anal. Mach. Intell. 34 (9) (2012)
Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter
An adversarial optimization approach to efficient outlier removal. ICCV (2011)
Qinfeng Shi, Anders P. Eriksson, Anton van den Hengel, Chunhua Shen
Is face recognition really a Compressive Sensing problem? CVPR (2011)
Carl Olsson, Anders P. Eriksson
Triangulating a Plane. SCIA (2011)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints. J. Math. Imaging Vis. 39 (1) (2011)
Carl Olsson, Anders P. Eriksson, Richard I. Hartley
Outlier removal using duality. CVPR (2010)
Anders P. Eriksson, Anton van den Hengel
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm. CVPR (2010)
Anders P. Eriksson, Anton van den Hengel
Optimization on the manifold of multiple homographies. ICCV Workshops (2009)
Carl Olsson, Anders P. Eriksson
Solving quadratically constrained geometrical problems using lagrangian duality. ICPR (2008)
Carl Olsson, Anders P. Eriksson, Fredrik Kahl
Improved spectral relaxation methods for binary quadratic optimization problems. Comput. Vis. Image Underst. 112 (1) (2008)
Carl Olsson, Anders P. Eriksson, Fredrik Kahl
Efficient Optimization for L-problems using Pseudoconvexity. ICCV (2007)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints. ICCV (2007)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl
Efficiently Solving the Fractional Trust Region Problem. ACCV (2) (2007)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl
Image Segmentation with Context. SCIA (2007)
Carl Olsson, Anders P. Eriksson, Fredrik Kahl
Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming. CVPR (2007)
Anders P. Eriksson, Kalle Åström
Bijective Image Registration using Thin-Plate Splines.. ICPR (3) (2006)
Anders P. Eriksson, Kalle Åström
Robustness and Specificity in Object Detection. ICPR (3) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anders P. Eriksson