3 accepted papers
In this work we present an approach for generating alternative text (or alt-text) descriptions for images shared on social media, specifically Twitter. More than just a special case of image captioning, alt-text is both more literally descriptive and context-specific. Also critically, images posted…
In this paper we put forward a new approach to music captioning, the task of automatically generating natural language descriptions for songs. These descriptions are useful both for categorization and analysis, and also from an accessibility standpoint as they form an important component of closed c…
We propose a deep generative model that performs typography analysis and font reconstruction by learning disentangled manifolds of both font style and character shape. Our approach enables us to massively scale up the number of character types we can effectively model compared to previous methods. S…