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Marius Aasan will defend his PhD thesis for the PhD degree in Science at the University of Oslo, February 10th, 13:15 CET.
The title of the thesis is "From Continua to Objecthood: On Tokenization and Perceptual Grouping in Vision"
The trial lecture title is "“From Convolutions to Transformers: How Modern Vision Models See Images”"
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.
Marius Aasan will defend his PhD thesis for the PhD degree in Science at the University of Oslo, February 10th, 13:15 CET.