Social biases through the text-to-image generation lens

R Naik, B Nushi - Proceedings of the 2023 AAAI/ACM Conference on AI …, 2023 - dl.acm.org
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 …

Multi-modal knowledge graph construction and application: A survey

X Zhu, Z Li, X Wang, X Jiang, P Sun… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
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 …

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 …

User intent in multimedia search: a survey of the state of the art and future challenges

C Kofler, M Larson, A Hanjalic - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
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” …

Visual-textual joint relevance learning for tag-based social image search

Y Gao, M Wang, ZJ Zha, J Shen, X Li… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
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 …

Search result diversification

RLT Santos, C Macdonald, I Ounis - Foundations and Trends® …, 2015 - nowpublishers.com
Ranking in information retrieval has been traditionally approached as a pursuit of relevant
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 …

On query result diversification

MR Vieira, HL Razente, MCN Barioni… - 2011 IEEE 27th …, 2011 - ieeexplore.ieee.org
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 …

Privacy-aware image classification and search

S Zerr, S Siersdorfer, J Hare, E Demidova - Proceedings of the 35th …, 2012 - dl.acm.org
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 …

Towards a relevant and diverse search of social images

M Wang, K Yang, XS Hua… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
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 …