CORDIS Project
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This project aims to advance computer vision by improving image understanding through robust representations and weakly supervised learning methods. The focus is on interpreting images similarly to humans, leveraging multimodal data for enhanced object recognition.
One of the primary and most appealing goals of computer vision is to automatically understand the content of images on a cognitive level.
Ultimately we want to have computers interpret images as we humans do, recognizing all the objects, scenes, and people as well as their relations as they appear in natural images or video.
With this project, I want to advance the state of the art in this field in two directions, which I believe to be crucial to build the next generation of image understanding…
KATHOLIEKE UNIVERSITEIT LEUVEN
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