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Social biases through the text-to-image generation lens
Text-to-Image (T2I) generation is enabling new applications that support creators, designers,
and general end users of productivity software by generating illustrative content with high …
and general end users of productivity software by generating illustrative content with high …
Multi-modal knowledge graph construction and application: A survey
Recent years have witnessed the resurgence of knowledge engineering which is featured
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …
An overview of cluster-based image search result organization: background, techniques, and ongoing challenges
J Tekli - Knowledge and Information Systems, 2022 - Springer
Digital photographs and visual data have become increasingly available, especially on the
Web considered as the largest image database to date. However, the value of multimedia …
Web considered as the largest image database to date. However, the value of multimedia …
User intent in multimedia search: a survey of the state of the art and future challenges
Today's multimedia search engines are expected to respond to queries reflecting a wide
variety of information needs from users with different goals. The topical dimension (“what” …
variety of information needs from users with different goals. The topical dimension (“what” …
Visual-textual joint relevance learning for tag-based social image search
Due to the popularity of social media websites, extensive research efforts have been
dedicated to tag-based social image search. Both visual information and tags have been …
dedicated to tag-based social image search. Both visual information and tags have been …
Search result diversification
Ranking in information retrieval has been traditionally approached as a pursuit of relevant
information, under the assumption that the users' information needs are unambiguously …
information, under the assumption that the users' information needs are unambiguously …
Content embedding using deep metric learning algorithms
P Tsatsin, PM Long, DGM Legrand, N Duffy - US Patent 10,909,459, 2021 - Google Patents
The technology disclosed introduces a concept of training a neural network to create an
embedding space. The neural network is trained by providing a set of K+ 2 training …
embedding space. The neural network is trained by providing a set of K+ 2 training …
On query result diversification
In this paper we describe a general framework for evaluation and optimization of methods
for diversifying query results. In these methods, an initial ranking candidate set produced by …
for diversifying query results. In these methods, an initial ranking candidate set produced by …
Privacy-aware image classification and search
Modern content sharing environments such as Flickr or YouTube contain a large amount of
private resources such as photos showing weddings, family holidays, and private parties …
private resources such as photos showing weddings, family holidays, and private parties …
Towards a relevant and diverse search of social images
Recent years have witnessed the great success of social media websites. Tag-based image
search is an important approach to accessing the image content on these websites …
search is an important approach to accessing the image content on these websites …