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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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), funded by Ministerio de Ciencia, Innovación y Universidades/AEI, focused on ‘Continual Learning for Foundation Models’ where the aim is to adapt foundation models to new tasks without forgetting previous
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Vision, Language and Reading group at the Computer Vision Center (CVC), in Barcelona, Spain. The position is initially for 3 years and linked to the “European Large Open Multi-Modal Foundation Models
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. These models have been successfully deployed in a real VW eGolf vehicle, demonstrating robust, camera-based autonomous navigation in both the Catalan Pyrenees and on the UAB campus, where ongoing research
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intelligence, based on training deep neural models has introduced a new methodology, that accelerates the development of novel architectures by leveraging models pre-trained on large, generic image and text
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on developing new methods for color-specific conditional generation in multi-modal generative models. The candidate will work on exploiting the intrinsic knowledge about color within text-to-image (T2I) models