This study introduces an approach leveraging deep neural networks to identify high-level, abstract concepts in visual user-generated content (UGC) for restaurants, and proposes two weak labeling methods: one utilizing existing restaurant-quality signals, and the other extracting relevant labels from review texts via qu...
Ujjwal Sharma, Stevan Rudinac, Joris Demmers et al.· 0 citations
This paper introduces a novel prototype-enhanced hypergraph learning approach for node classification in HINs using hypergraphs instead of graphs, which captures higher-order relationships among nodes and extracts semantic information without relying on metapaths.
Shuai Wang, Jiayi Shen, Athanasios Efthymiou et al.· 0 citations
This work presents an approach that uses semantically meaningful, bimodal random walks on real-world heterogeneous networks to extract correlations between nodes and bring together nodes with shared or similar attributes.
Ujjwal Sharma, Stevan Rudinac, Marcel Worring et al.· 0 citations
A novel evaluation framework called Image2Text2Image is proposed, which leverages diffusion models, such as Stable Diffusion or DALL-E, for text-to-image generation, and does not rely on human-annotated reference cap-tions, making it a valuable tool for assessing image captioning models.
Jia-Hong Huang, Hongyi Zhu, Yixian Shen et al.· 0 citations
MMArt is introduced, a large-scale dataset of 74,234 WikiArt paintings, each annotated with four independently annotated perspectives plus a harmonized unified caption, produced by specialized vision-language models or human annotation and validated through complementary quality evaluations.
Shuai Wang, Wang-Yuan Ding, Yixian Shen et al.· 0 citations
This paper proposes Scenemash, a system that generates multimodal summaries of multiple alternative routes between locations in a city by jointly analysing distributions of a large number of semantic concepts detected in the visual content and latent topics extracted from associated text.
J. van den Berg, Stevan Rudinac, Marcel Worring· 0 citations
This work extends the existing Exquisitor URF system with conversational search, and the user interface has been completely redesigned to prepare for future integration with conversational search and better support novice users.
O. Khan, Hongyi Zhu, Ujjwal Sharma et al.· 1 citation
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