Search Results for author:
Found 7 papers, 1 papers with code
CITE: A Corpus of Image-Text Discourse Relations
This paper presents a novel crowd-sourced resource for multimodal discourse: our resource characterizes inferences in image-text contexts in the domain of cooking recipes in the form of coherence relations.
Contextual Media Retrieval Using Natural Language Queries
We show that our retrieval system can cope with this variability using personalisation through an online learning-based retrieval formulation.
Story-oriented Image Selection and Placement
Multimodal contents have become commonplace on the Internet today, manifested as news articles, social media posts, and personal or business blog posts.
Know2Look: Commonsense Knowledge for Visual Search
With the rise in popularity of social media, images accompanied by contextual text form a huge section of the web.
VISIR: Visual and Semantic Image Label Refinement
CBIR now gains semantic expressiveness by advances in deep-learning-based detection of visual labels.
SANDI: Story-and-Images Alignment
The Internet contains a multitude of social media posts and other of stories where text is interspersed with images.
Exploiting Image–Text Synergy for Contextual Image Captioning
Modern web content - news articles, blog posts, educational resources, marketing brochures - is predominantly multimodal.
