Search Results for author:
Found 8 papers, 5 papers with code
Location Sensitive Image Retrieval and Tagging
People from different parts of the globe describe objects and concepts in distinct manners.
Extended Labeled Faces in-the-Wild (ELFW): Augmenting Classes for Face Segmentation
Existing face datasets often lack sufficient representation of occluding objects, which can hinder recognition, but also supply meaningful information to understand the visual context.
Exploring Hate Speech Detection in Multimodal Publications
In this work we target the problem of hate speech detection in multimodal publications formed by a text and an image.
Selective Style Transfer for Text
This paper explores the possibilities of image style transfer applied to text maintaining the original transcriptions.
AI in the media and creative industries
Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry.
Self-Supervised Learning from Web Data for Multimodal Retrieval
In this work we propose to exploit this free available data to learn a multimodal image and text embedding, aiming to leverage the semantic knowledge learnt in the text domain and transfer it to a visual model for semantic image retrieval.
Learning to Learn from Web Data through Deep Semantic Embeddings
In this paper we propose to learn a multimodal image and text embedding from Web and Social Media data, aiming to leverage the semantic knowledge learnt in the text domain and transfer it to a visual model for semantic image retrieval.
Learning from #Barcelona Instagram data what Locals and Tourists post about its Neighbourhoods
We perform a language separate treatment of the data and show that it can be extrapolated to a tourists and locals separate analysis, and that tourism is reflected in Social Media at a neighborhood level.
