Aasan defending his PhD thesis at the University of Oslo.
Image:
Adín Ramírez Rivera

Aasan defending his PhD thesis at the University of Oslo.

Successful PhD defense by Marius Aasan

Congratulations to Marius Aasan, who successfully defended his PhD thesis at the University of Oslo on February 10th.

Successful PhD defense by Marius Aasan

Congratulations to Marius Aasan, who successfully defended his PhD thesis at the University of Oslo on February 10th.

By Petter Bjørklund, Communications Officer at SFI Visual Intelligence

Aasan is a PhD Research Fellow at Visual Intelligence and the Digital Signal Processing and Image Analysis Group at the University of Oslo.

His thesis, titled "From Continua to Objecthood: On Tokenization and Perceptual Grouping in Vision", argues that the energy-hungriness and unintelligbility of modern vision systems is not based on how much data machines see, but how they see it. By letting models learn how images naturally divide into meaningful visual regions, Aasan argues that they can focus on structure and form rather than minute pixel-level details.

Aasan's trial lecture was titled From "Convolutions to Transformers: How Modern Vision Models See Images"

Summary of the thesis

Today’s AI vision models can recognize faces, animals, and objects with astonishing accuracy, and they keep improving as we feed them more data and provide them with more computing power. But this progress comes at a price: modern vision systems are increasingly large, energy-hungry, and difficult to interpret or understand.

This thesis argues that the problem is not only how much data machines see, but how they see it. Humans do not analyze images pixel by pixel; instead, we focus on shapes, regions, and relationships in visual scenes. The research presented here shows that artificial intelligence can be convinced to do the same. By letting models learn how images naturally divide into meaningful visual regions, they can focus on structure and form rather than minute pixel-level details.

The result is a new way of building vision systems that are more effective, accurate, and interpretable. As visual AI becomes part of everyday life it becomes increasingly important to develop models that are faster, more transparent, and more sustainable.

Adjudication committee

  • Associate Professor Arno Solin, Aalto University, Finland
  • Professor Kerstin Bach, NTNU, Norway
  • Adjunct Professor Roy Edgar Hansen, Department of Informatics, University of Oslo, Norway

Supervisors

  • Professor Gerberth Adin Ramirez Rivera, University of Oslo, Norway
  • Professor Anne Helene Schistad Solberg, University of Oslo, Norway
  • Odd Kolbjørnsen, University of Oslo, Norway
Aasan with the supervisors, opponents, and defense leader. Photo: Sven Peter Näsholm.

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