AI Seminar Series 2023: Mike Ogezi

The AI Seminar is a weekly meeting at the University of Alberta where researchers interested in artificial intelligence (AI) can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics can be related in any way to artificial intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.

On August 11, Mike Ogezi, MSc student at the University of Alberta, presented "Grounding Concepts to Vision with Visual Descriptions" at the AI Seminar.

Abstract:

This talk presents the approach to grounding concepts to vision using text descriptions that focus on visual attributes. The research includes two studies. The first explores visual word sense disambiguation, a task that involves selecting the image that best represents the contextual meaning of a word. The second study focuses on producing visual descriptions for arbitrary, concrete concepts for use in downstream tasks such as zero-shot image classification and generation. Both studies show that conditioning a pre-trained large language model (LLM) with lexico-semantic knowledge empirically improves visual descriptions, thus confirming the utility of LLM-produced visual descriptions in grounding lexical concepts to the visual domain.

Watch the full presentation below:

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