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Language in Vision: Visual Reasoning, Visual Navigation, Grounded Translation

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With deep learning and large-scale datasets, we can work on increasingly more ambitious computer vision problems and multimodal settings. In this presentation, I will talk about three computer vision problems where natural or synthetic language has played a fundamental role. Those problems are: 1) visual reasoning that takes the form of question answering about visual scenes, 2) visual navigation where the language provides instructions for the agent to follow, 3) grounded translation where, for a change, vision may turn out to be important for training translation models.

This talk is part of the CuAI (Cambridge University Artificial Intelligence Society) series.

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