Associate Professor Anders Eriksson

ARC Future Fellow

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
a.eriksson@uq.edu.au
+61 7 336 52379

Overview

A/Prof Eriksson is an Australian Research Council Future Fellow and at the School of Information Technology and Electrical Engineering, University of Queensland. He received his Masters of Science degree in Electrical Engineering in 2000 and his PhD in Mathematics in 2008 from Lund University, Sweden. His research areas include optimisation theory and numerical methods applied to the fields of computer vision and machine learning. In 2010 his work on robust low-rank matrix approximation won the best paper award at the 23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, USA. In 2015 his joint paper on Consensus Maximisation recieved a best paper honorable mention prize at the 28th IEEE Conference on Computer Vision and Pattern Recognition in Boston, USA.

For more information see http://aeriksson.net

Research Interests

  • Computer Vision
  • Machine Learning
  • Medical Image Analysis

Qualifications

  • Doctor of Philosophy, Lund University

Publications

  • Michalkiewicz, Mateusz, Pontes, Jhony Kaesemodel, Jack, Dominic, Baktashmotlagh, Mahsa and Eriksson, Anders (2020). Implicit surface representations as layers in neural networks. 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, 27 October -2 November, 2019 . Piscataway, NJ, United States :Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV.2019.00484

  • Le, Huu M., Eriksson, Anders, Do, Thanh-Toan and Milford, Michael (2019). A binary optimization approach for constrained K-Means clustering. 14th Asian Conference on Computer Vision, Perth, WA, Australia, 2 - 6 December 2018. Springer Verlag. doi: 10.1007/978-3-030-20870-7_24

  • Jack, Dominic, Maire, Frederic, Shirazi, Sareh and Eriksson, Anders (2019). IGE-net: inverse graphics energy networks for human pose estimation and single-view reconstruction. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 15-20 June 2019. Piscataway, NJ, United States :IEEE Computer Society. doi: 10.1109/CVPR.2019.00724

View all Publications

Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Publications

Journal Article

Conference Publication

  • Michalkiewicz, Mateusz, Pontes, Jhony Kaesemodel, Jack, Dominic, Baktashmotlagh, Mahsa and Eriksson, Anders (2020). Implicit surface representations as layers in neural networks. 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, 27 October -2 November, 2019 . Piscataway, NJ, United States :Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV.2019.00484

  • Le, Huu M., Eriksson, Anders, Do, Thanh-Toan and Milford, Michael (2019). A binary optimization approach for constrained K-Means clustering. 14th Asian Conference on Computer Vision, Perth, WA, Australia, 2 - 6 December 2018. Springer Verlag. doi: 10.1007/978-3-030-20870-7_24

  • Jack, Dominic, Maire, Frederic, Shirazi, Sareh and Eriksson, Anders (2019). IGE-net: inverse graphics energy networks for human pose estimation and single-view reconstruction. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 15-20 June 2019. Piscataway, NJ, United States :IEEE Computer Society. doi: 10.1109/CVPR.2019.00724

  • Pontes, Jhony K., Kong, Chen, Sridharan, Sridha, Lucey, Simon, Eriksson, Anders and Fookes, Clinton (2019). Image2Mesh: A Learning Framework for Single Image 3D Reconstruction. 14th Asian Conference on Computer Vision, Perth, WA, Australia, 2 - 6 December 2018. Cham, Switzerland :Springer. doi: 10.1007/978-3-030-20887-5_23

  • Jack, Dominic, Pontes, Jhony K., Sridharan, Sridha, Fookes, Clinton, Shirazi, Sareh, Maire, Frederic and Eriksson, Anders (2019). Learning freeform deformations for 3D object reconstruction. 14th Asian Conference on Computer Vision, Perth, WA, Australia, 2–6 December, 2018. Cham, Switzerland :Springer. doi: 10.1007/978-3-030-20890-5_21

  • Le, Huu, Eriksson, Anders, Milford, Michael, Do, Thanh-Toan, Chin, Tat-Jun and Suter, David (2019). Non-smooth M-estimator for maximum consensus estimation. 29th British Machine Vision Conference, BMVC 2018, Newcastle upon Tyne, United Kingdom, 3 - 6 September 2018. United Kingdom :BMVA Press.

  • Chin, Tat-Jun, Bagchi, Samya, Eriksson, Anders and Van Schaik, Andre (2019). Star tracking using an event camera. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Long Beach, CA, United States, 16-17 June 2019. Washington DC, United States :IEEE Computer Society. doi: 10.1109/CVPRW.2019.00208

  • Bustos, Alvaro Parra, Chin, Tat-Jun, Eriksson, Anders and Reid, Ian (2019). Visual SLAM: Why bundle adjust?. 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 20-24 May 2019. Washington DC, United States :Institute of Electrical and Electronics Engineers. doi: 10.1109/ICRA.2019.8793749

  • Jack, Dominic, Maire, Frederic, Eriksson, Anders and Shirazi, Sareh (2018). Adversarially parameterized optimization for 3D human pose estimation. International Conference on 3D Vision, Qingdao, China, 10-12 October 2017. Piscataway, NJ, United States :Institute of Electrical and Electronics Engineers. doi: 10.1109/3DV.2017.00026

  • Kaesemodel Pontes, Jhony, Kong, Chen, Eriksson, Anders, Fookes, Clinton, Sridharan, Sridha and Lucey, Simon (2018). Compact model representation for 3D reconstruction. 2017 International Conference on 3D Vision (3DV), Qingdao, China, 10 - 12 October 2017. Piscataway, NJ, United States :Institute of Electrical and Electronics Engineers. doi: 10.1109/3DV.2017.00020

  • Purkait, Pulak, Zach, Christopher and Eriksson, Anders (2018). Maximum consensus parameter estimation by reweighted l1 methods. 11th International Conference, EMMCVPR 2017: Energy Minimization Methods in Computer Vision and Pattern Recognition, Venice, Italy, 30 October – 1 November 2017. Springer Verlag. doi: 10.1007/978-3-319-78199-0_21

  • Eriksson, Anders, Olsson, Carl, Kahl, Fredrik and Chin, Tat-Jun (2018). Rotation averaging and strong duality. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, United States, 18-23 June 2018. Piscataway, NJ, United States :IEEE Computer Society. doi: 10.1109/CVPR.2018.00021

  • Isaksson, Mats, Marlow, Kristan, Brogårdh, Torgny and Eriksson, Anders (2016). A comparison of the yaw constraining performance of SCARA-tau parallel manipulator variants via screw theory. 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 16 - 21 May 2016. Piscataway, NJ, United States :Institute of Electrical and Electronics Engineers. doi: 10.1109/ICRA.2016.7487219

  • Chin, Tat-Jun, Kee, Yang Heng, Eriksson, Anders and Neumann, Frank (2016). Guaranteed outlier removal with mixed integer linear programs. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV USA, 27-30 June 2016. Washington, DC USA :IEEE Computer Society. doi: 10.1109/CVPR.2016.631

  • Olsson, Carl, Ulen, Johannes and Eriksson, Anders (2014). Local refinement for stereo regularization. 22nd International Conference on Pattern Recognition, Stockholm, Sweden, 24-28 Aug. 2014. Washington, DC 20036 United States :I E E E Computer Society. doi: 10.1109/ICPR.2014.695

  • Bristow, Hilton, Eriksson, Anders and Lucey, Simon (2013). Fast convolutional sparse coding. IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, United States, 23-28 June 2013. Piscataway, NJ, United States :Institute of Electrical and Electronics Engineers. doi: 10.1109/CVPR.2013.57

  • Yu, Jin, Eriksson, Anders, Chin, Tat-Jun and Suter, David (2011). An adversarial optimization approach to efficient outlier removal. 2011 International Conference on Computer Vision, Barcelona, Spain, 6-13 November 2011. Piscataway, NJ, United States :IEEE. doi: 10.1109/ICCV.2011.6126268

  • Shi, Qinfeng, Eriksson, Anders, Hengel, Anton van den and Shen, Chunhua (2011). Is face recognition really a compressive sensing problem?. CVPR 2011, Providence, RI, United States, 20-25 June 2011. Washington, DC, United States :IEEE Computer Society. doi: 10.1109/CVPR.2011.5995556

  • Eriksson, Anders and Hengel, Anton van den (2010). Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, United States, 13-18 June 2010. Washington, DC, United States :IEEE Computer Society. doi: 10.1109/CVPR.2010.5540139

  • Olsson, Carl, Eriksson, Anders and Hartley, Richard (2010). Outlier removal using duality. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, United States, 13-18 June 2010. Washington, DC, United States :IEEE Computer Society. doi: 10.1109/CVPR.2010.5539800

  • Eriksson, Anders and Van Den Hengel, Anton (2009). Optimization on the manifold of multiple homographies. 12th International Conference on Computer Vision Workshops, ICCV Workshops, Kyoto, Japan, 27 September - 4 October 2009. Piscataway, NJ, United States :IEEE. doi: 10.1109/ICCVW.2009.5457692

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors: