Computational Vision

We are interested in the analysis and representation of visual information, including empirical study of the structure of visual scenes, construction of mathematical theories for representation and processing that structure.

Laboratory for Computational Vision

Publications

GEOPHYS: The Geometry of Physical Plausibility

Christian Internò, Alexander Pondaven, Habon Issa, Fabio Pizzati, Francesco Pinto, Markus Olhofer, Ivan Laptev, Philip Torr, E. P. Simoncelli, Barbara Hammer, David Klindt

While humans can identify physically implausible events within milliseconds, machine learning approaches addressing the same problem are extremely slow and…

arXiv:2606.20707

Group Members

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