Scholar
Per-Erik Forssén
Google Scholar ID: SZ6jH-4AAAAJ
Associate Professor in Electrical Engineering, Linköping University
Computer Vision
Robot Vision
Machine Learning
Artificial Intelligence
Follow
Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
753
H-index
17
i10-index
20
Publications
20
Co-authors
23
list available
Contact
Email
per-erik.forssen@liu.se
CV
Open ↗
Publications
5 items
On the Role of Rotation Equivariance in Monocular 3D Human Pose Estimation
2026
Cited
0
Robust Multi-view Camera Calibration from Dense Matches
2025
Cited
0
MATTER: Multiscale Attention for Registration Error Regression
2025
Cited
0
FACT: Multinomial Misalignment Classification for Point Cloud Registration
2025
Cited
0
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving
2025
Cited
0
Resume (English only)
Academic Achievements
- Publications: [Detailed list](https://skylerhallinan.com/accurate_list)
- Other publication lists: DiVA list, Google Scholar profile
- Software releases: GoPro-IMU dataset, Kinect v2 dataset, etc.
Research Experience
- Principal Investigator for projects: Situation Aware Perception for Safe Autonomous Robotic Systems, Dorsal Stream Robot Vision
- Contributing to projects: Visual Sweden City Platform, TwinGenerator: AI-process to build a digital twin
- Finished projects: Smart Twins for Forest Environment, Augmented Operator
- Industrial collaborations: New algorithms for 3D cameras with Veoneer, Industrial Applications of Deep Learning with SICK IVP AB
Education
- Ph.D.: 2004, Linköping University
- Postdoc: 2006-2007, Laboratory for Computational Intelligence, University of British Columbia, VR fellowship
- Docent: 2009, Linköping University
Background
- Research Interests: Visual perception for robots, especially in representing information and uncertainty in vision for action
- Position: Senior Associate Professor (Docent)
- Affiliation: Computer Vision Laboratory, Linköping University
Miscellany
- Teaching: Examiner for master courses TSBB15 Computer Vision, TSBB19 Machine Learning for Computer Vision
- Manages the Visual Computing profile (Signal- och Bildbehandling) for D/IT and Y programs
- Organized and taught PhD courses such as Online presentation of research, Biological Vision Systems, etc.
Co-authors
23 total
Michael Felsberg
Professor of Computer Vision, Linköping University
Co-author 2
Co-author 3
Co-author 4
David Meger
Associate Professor at McGill University
James Little
Professor Emeritus, Computer Science, University of British Columbia
Co-author 7
Hanno Scharr
Forschungszentrum Jülich, IAS-8
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