PeopleofSuperintelligence

Researcher

Fredrik Kahl

Fredrik Kahl is a computer vision researcher whose work centers on geometric deep learning and 3D scene understanding. He earned a mathematics PhD at Lund University, won the 2001–2002 Best Nordic Thesis Award, and served as a professor at Lund from 2006 to 2018. In 2005, he won the ICCV Marr Prize for “Globally Optimal Estimates for Geometric Reconstruction Problems.” His 2025 spherical reconstruction paper developed a global method for uncalibrated camera motion, and a 2026 paper applied equivariance to make Vision Transformers more efficient. As of October 2026, he is a professor and unit head at Chalmers and a 2026–2028 Hi!Paris Visiting Chair at École des Ponts ParisTech.

Timeline

  1. 1997–2001

    A mathematics PhD

    He earns a PhD in mathematics at Lund University from 1997 to 2001.

  2. 2001–2002

    A Nordic thesis award

    His thesis, Geometry and Critical Configurations of Multiple Views, wins the Best Nordic Thesis Award in 2001–2002.

  3. 2005–2007

    The ICCV Marr Prize

    With Didier Henrion, he wins the ICCV Marr Prize in 2005 for “Globally Optimal Estimates for Geometric Reconstruction Problems.” They publish a paper with that title in the International Journal of Computer Vision in 2007.

  4. 2006–2018

    Professor at Lund

    His career includes postdoctoral work at UC San Diego and the Australian National University. He serves as a professor at Lund University from 2006 to 2018.

  5. 2025

    Spherical structure from motion

    With Jonathan Ventura and Viktor Larsson, he coauthors “Uncalibrated Structure from Motion on a Sphere” for ICCV 2025. Their method builds global structure-from-motion for uncalibrated spherical camera motion and shows self-calibration from three or more views.

  6. 2026

    Equivariant vision transformers

    With David Nordström and Johan Edstedt, he coauthors Quick ViTs in 2026, an equivariant vision-transformer method. Its octic equivariant linear layers reduce FLOPs by 5.33 times and memory by up to 8 times compared with ordinary linear layers. His research focuses on geometric deep learning and 3D scene understanding.

  7. As of October 2026

    Chalmers professor and visiting chair

    He is a full professor and Head of Unit in Signal Processing and Biomedical Engineering at Chalmers, where he leads the Computer Vision Group. From 2026 to 2028, he serves as a Hi!Paris Visiting Chair at the IMAGINE research group, École des Ponts ParisTech.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Fredrik Kahl – Computer Vision and Machine Learning fredkahl.github.io. Checked 19 October 2026.
  2. Homepage of Changyin Zhou cs.columbia.edu. Checked 19 October 2026.
  3. Globally Optimal Estimates for Geometric Reconstruction Problems - Lund University portal.research.lu.se. Checked 19 October 2026.
  4. Uncalibrated Structure from Motion on a Sphere openaccess.thecvf.com. Checked 19 October 2026.
  5. Quick ViTs: Speeding up Vision Transformers Through Equivariance research.chalmers.se. Checked 19 October 2026.
  6. Fredrik Kahl | Chalmers chalmers.se. Checked 19 October 2026.
  7. 11 International Visiting Chairs Join Hi! PARIS in 2026 hi-paris.fr. Checked 19 October 2026.