I am a professor at Chalmers University of Technology leading the Computer Vision Group.
In 2026-2028 I will also be a Hi!Paris Visiting Chair at the IMAGINE research group, École des Ponts ParisTech.
My research focuses on geometric deep learning and 3D scene understanding, with core problems in 3D reconstruction, correspondences and visual localization with an emphasis on symmetry, equivariance and scalable learning.
Current interests include generative models and medical image analysis.
Highlights:
David Marr Prize (ICCV)
Professor and Head of Computer Vision Group, Chalmers
Geometric deep learning, 3D scene understanding and visual localization
Co-founder of Eigenvision, Taigatech and Cognimatics
Previously, I was a professor at Lund University (2006–2018) and a postdoctoral fellow at UC San Diego and the Australian National University. I received my PhD in mathematics from Lund University (1997–2001).
Apr 2026.LoMa sets a new state of the art in sparse local feature matching and was accepted to ECCV 2026. See the project and paper.
Nov 2025.MuM extends masked image modeling to arbitrarily many views for learning features tailored to 3D vision. Presented at CVPR 2026. See the project and paper.
Nov 2025.RoMa v2 sets a new state of the art in dense image matching and was accepted to ECCV 2026. Read the paper.
Earlier news
2026.Quick ViTs, which speed up vision transformers through equivariance, was accepted to ECCV 2026.
2026.R3D2 was presented at the CVPR Workshop on Autonomous Driving.
2026. Reweighting reduces two-view triangulation from degree six to degree two. Presented at 3DV 2026. Paper.
What would be Hilbert’s problems of AI? We propose an initiative to identify fundamental scientific questions that could help structure AI. Read and comment on the white paper at OpenReview.
I am co-founder and board member of the computer vision consultancy Eigenvision AB. Turnover (2025): 14 MSEK.
I am co-founder and board member of the AI start-up Taigatech AB. Turnover (2025): 23 MSEK.
Co-founder of Cognimatics AB (2003), acquired by Axis Communications in 2016.
Patent inventor and senior advisor to Polar Rose AB, acquired by Apple in 2010.
Patent inventor with Zenseact on 3D object detection, 2019.
Research collaborator to Mapillary AB, the crowd-sourced street-view platform founded by my former PhD students Jan-Erik Solem and Yubin Kuang, acquired by Meta in 2020.
We won the Best Industry Paper at the Swedish Symposium on Image Analysis, Örebro, 2026 for our work on dense matching by Johan Edstedt, David Nordström et al.
Several of my PhD students have received the biennial Best Nordic Thesis Award
which I consider to be my top achievement!
Jennifer Alvén, Best Swedish Thesis Award 2019-2020: Combining Shape and Learning for Medical Image Analysis. Footnote: Nordic version canceled due to Covid-19 pandemic.
Petter Strandmark, Best Nordic Thesis Award 2013-2014: Discrete Optimization in Early Vision.
Carl Olsson, Best Nordic Thesis Award 2009-2010: Global Optimization in Computer Vision: Convexity, Cuts and Approximation Algorithms.
Jan-Erik Solem, Best Nordic Thesis Award 2005-2006: Variational Problems and Level Set Methods in Computer Vision - Theory and Applications.
Fredrik Kahl, Best Nordic Thesis Award 2001-2002: Geometry and Critical Configurations of Multiple Views.
We won the Best Industry Paper at the Swedish Symposium on Image Analysis, Luleå, 2024 for our work on Steerers by Georg Bökman et al.
We won the Best Paper Award at ICPRAI 2024 in Jeju Island, Korea! Read the paper.
We won the Best Industry Paper at the Swedish Symposium on Image Analysis, Göteborg, 2019 for our work on 3D Object Detection by Eskil Jörgensen, Christopher Zach and Fredrik Kahl.
We get state-of-the-art results on monocular 3D object detection on KITTI! Read the paper. More videos here.
We won the Best Industry Paper at the Swedish Symposium on Image Analysis, Stockholm, 2018 for our work on Visual Localization by Carl Toft et al.
The Best Student Paper Award is awarded to "Shape-Aware Multi-Atlas Segmentation" at ICPR 2016, Cancun, Mexico! Read the
paper.
I received the Marr Prize in 2005, which is considered to be one of the most prestigious prizes in computer vision.
Miscellaneous
I worked in the Management Group of CHAIR - Chalmers AI Research Centre, CHAIR, 2019-2021.
I was on Program Management Group of WASP-AI, 2018-2020.
Organiser of the first Swedish Symposium on Deep Learning (SSDL), June 20-21, 2017. Location: KTH, Stockholm.
I was the main PI for the SSF project Semantic Mapping and Visual Navigation for Smart Robots a collaboration between computer vision, automatic control, machine learning and mathematics. Budget: 31.1 MSEK during 2016-2022. Funded by Swedish Foundation for Strategic Research.
Summer School in Convex and Discrete Optimization on the island of Als, Denmark. Tutors: Fredrik Kahl and Richard Hartley, August 2015.
Tutorial in Zurich at ECCV'14 on Robust Optimization Techniques in Computer Vision successfully completed with more than 150 registered participants. Tutors: Olof Enqvist, Fredrik Kahl and Richard Hartley.
I was on the Editorial Board of Journal of Mathematical Imaging and Vision, 2014-2018.
Optimization in Computer Vision. A one week PhD School, 19-23 May 2008 in Copenhagen, Denmark. Co-organized with Henrik Aanaes, DTU. Lectures include Prof. Richard Hartley, Phil Torr and Lieven Vanderberge.
