Per-Erik Forssén
Biträdande professor
Mina forskningsintressen är visuell perception och perceptuell inlärning för robotar. Aktuell forskning har inriktning mot osäkerhetsrepresentation, aktionskopplat seende och tidskontinuerliga modeller för 3D-rörelse.
Vänligen besök den engelska versionen för mer information.
Utvalda publikationer
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
Vidare till DOI
Johan Hedborg, Per-Erik Forssén, Michael Felsberg, Erik Ringaby
(2012)
Erik Ringaby, Per-Erik Forssén
(2012)
International Journal of Computer Vision
, Vol.96
, s.335-352
Vidare till DOI
Fler publikationer
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
