Team
Expert consultants since 2015
Eigenvision AB is an expert consultancy working with research and development in automated image analysis, computer vision and machine learning. Since 2015, we’ve helped companies automate image analysis tasks in long or short assignments. We all have PhDs and extensive experience in taking algorithms from prototype to production.
Carl Toft
Carl holds a PhD degree in computer vision from Chalmers University of Technology. His research focuses on combining geometry, semantics and deep learning to solve problems in geometric computer vision.
Daniel Bergh
Daniel holds a PhD degree in pure mathematics from Stockholm University. He also has a solid background in software engineering, with several years' experience as a developer and systems architect.
Fredrik Kahl
Fredrik is an internationally renowned researcher in image analysis and computer vision. He is a Full Professor and head of the Computer Vision Group at Chalmers University of Technology.
Ida Arvidsson
Ida holds a PhD degree from Lund University in applied mathematics, specializing in computer vision. She focuses on machine learning, especially methods for medical image segmentation and classification
Johannes Ulén
Johannes holds a PhD degree from Lund University in applied mathematics, specializing in computer vision. He is an experienced developer with expertise in image segmentation, optimization and machine learning.
Magnus Linderoth
Magnus holds a PhD degree from Lund University in automatic control, specialized in robotics and computer vision. He is an experienced developer with expertise in signal processing and machine learning.
Måns Larsson
Måns holds a PhD degree from the computer vision group at Chalmers University of Technology. His research interests lie within semantic segmentation, with a focus on deep learning methods.
Olof Enqvist, CEO
Olof is Reader in applied mathematics with a specialization in image analysis. His research interests include geometric vision problems and semantic segmentation of medical images.
Sebastian Haner
Sebastian holds a PhD degree from Lund University in applied mathematics, specializing in computer vision. He focuses on 3D reconstruction, especially efficient real-time solutions.
Olof
Enqvist
Olof is Reader in applied mathematics with a specialization in image analysis. His research interests include geometric vision problems and semantic segmentation of medical images.
Sebastian Haner
Sebastian holds a PhD degree from Lund University in applied mathematics, specializing in computer vision. He focuses on 3D reconstruction, especially efficient real-time solutions.
Johannes Ulén
Johannes holds a PhD degree from Lund University in applied mathematics, specializing in computer vision. He is an experienced software developer with expertise in image segmentation, optimization and machine learning.
Måns Larsson
Måns holds a PhD degree from the Computer Vision group at Chalmers University of Technology. His research interests lie within semantic segmentation, with a focus on deep learning methods.
Magnus Linderoth
Magnus holds a PhD degree from Lund University in Automatic Control, specialized in robotics and computer vision. He is an experienced software developer with expertise in signal processing, real-time image processing and machine learning.
Daniel Bergh
Daniel holds a PhD degree in pure mathematics from Stockholm University. He also has a solid background in software engineering, with several years' experience as a developer and systems architect.
Carl Toft
Carl holds a PhD degree in Computer Vision from Chalmers University of Technology. His research mainly focuses on combining geometry, semantics and deep learning to solve problems in geometric computer vision.
Fredrik Kahl
Fredrik is an internationally renowned researcher and head of the Computer Vision and Image Analysis Group at Chalmers University of Technology.
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Göteborg
Stockholm
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