Photo of Per-Erik Forssén

Per-Erik Forssén

Senior Associate Professor

My research interests are in visual perception and perceptual learning for robots. Current work includes uncertainty representation, vision for action, and continuous-time modelling of 3D motion.

Projects

I am the principal investigator for the following projects:

Scientific Output

My publications. Here is an accurate list.
Other lists: the DiVA list, and my Google Scholar profile.

Biography

PhD
2004 Linköping University
Postdoc
2006-2007, Laboratory for Computational Intelligence, University of British Columbia, VR fellowship
Docent
2009 Linköping University
See also this brief CV.

Selected publications

Cover of publication 'Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation'
Felix Järemo-Lawin, Per-Erik Forssén, Hannes Ovrén (2016)

Computer Vision – ECCV 2016 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV , s.170-185 Continue to DOI

Cover of publication 'Rolling Shutter Bundle Adjustment'
Johan Hedborg, Per-Erik Forssén, Michael Felsberg, Erik Ringaby (2012)
Cover of publication 'Efficient Video Rectification and Stabilisation for Cell-Phones'
Erik Ringaby, Per-Erik Forssén (2012)

International Journal of Computer Vision , Vol.96 , s.335-352 Continue to DOI

More publications

Ludvig Dillen, Per-Erik Forssén, Johan Edstedt,  FACT: Multinomial Misalignment Classification for Point Cloud Registration, IMAGE ANALYSIS, SCIA 2025, PT I, Lecture Notes in Computer Science, pp. 324-337, SPRINGER INTERNATIONAL PUBLISHING AG (2025)  https://doi.org/10.1007/978-3-031-95911-0_23

Ludvig Dillén, Per-Erik Forssén, Johan Edstedt, FACT: Multinomial Misalignment Classification for Point Cloud Registration (2025)  https://arxiv.org/abs/2504.06627

Shipeng Liu, Ziliang Xiong, Bastian Wandt, Per-Erik Forssén,  Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation, IMAGE ANALYSIS, SCIA 2025, PT I, Lecture Notes in Computer Science, pp. 276-291, SPRINGER INTERNATIONAL PUBLISHING AG (2025)  https://doi.org/10.1007/978-3-031-95911-0_20

Shipeng Liu, Ziliang Xiong, Bastian Wandt, Per-Erik Forssén, Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation (2025)  https://arxiv.org/abs/2505.02287

Shipeng Liu, Ziliang Xiong, Khac-Hoang Ngo, Per-Erik Forssén, MATTER: Multiscale Attention for Registration Error Regression (2025)  https://arxiv.org/abs/2509.12924

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