Paper accepted at International Conference on Computer Vision Theory and Applications (VISAPP).

It’s about visual recognition of new classes from earlier ones, by a mapping derived from attributes or a Large Language Model (LLM). For instance, the new bird (left) is recognized by mixing the properties of known birds (right). Such knowledge is available from LLMs, in a way that is almost as good as expert knowledge (312 manual attributes).

The reviewers were very positive: highest scores for relevance, second largest scores for overall, resulting in an Oral presentation of 25 minutes in Rome, February 2024. Joint work with Klamer Schutte, Maarten Kruithof, Wyke Pereboom-Huizinga, Frank Ruis and Hugo Kuijf. See Publications for more information.