Scholar
Per-Erik Forssén
Google Scholar ID: SZ6jH-4AAAAJ
Associate Professor in Electrical Engineering, Linköping University
Computer Vision
Robot Vision
Machine Learning
Artificial Intelligence
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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
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Publications
10 items
QuacamFM: Quaternion-Constrained Flow Matching for Camera Pose Estimation
2026
Cited
0
Efficient Multi-Timescale Event Representations for Feed-Forward Object Detection
2026
Cited
0
MEOM: Multi-View Expected-OKS Maximization for Human Pose Triangulation
2026
Cited
0
Neuromorphic Monocular Depth Estimation with Uncertainty Modeling
2026
Cited
0
Robust Fundamental Matrix Estimation from Single Image Motion Blur
2026
Cited
0
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
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Resume
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
9 total
Michael Felsberg
Professor of Computer Vision, Linköping University
David Meger
Associate Professor at McGill University
James Little
Professor Emeritus, Computer Science, University of British Columbia
Hanno Scharr
Forschungszentrum Jülich, IAS-8
Luis Merino
Full Professor, Universidad Pablo de Olavide, Spain
Anibal Ollero
Universidad de Sevilla
Babette Dellen
RheinAhrCampus der Hochschule Koblenz
Jonas Unger
Professor, division for Media and Information Technology, Linköping University, Sweden