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20182026
most citedCross-Modal Subspace Learning with Scheduled Adaptive Margin Constraints

9 citations · 16 across the 17 of their papers we have counts for

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cs.MM2021

Assisting News Media Editors with Cohesive Visual Storylines

Gonçalo Marcelino, David Semedo, André Mourão +3

Creating a cohesive, high-quality, relevant, media story is a challenge that news media editors face on a daily basis. This challenge is aggravated by the flood of highly relevant…

cs.MM2019★ 9 cited

Cross-Modal Subspace Learning with Scheduled Adaptive Margin Constraints

David Semedo, João Magalhães

Cross-modal embeddings, between textual and visual modalities, aim to organise multimodal instances by their semantic correlations. State-of-the-art approaches use maximum-margin m…

cs.MM2019★ 3 cited

Diachronic Cross-modal Embeddings

David Semedo, João Magalhães

Understanding the semantic shifts of multimodal information is only possible with models that capture cross-modal interactions over time. Under this paradigm, a new embedding is ne…

cs.MM2019

A Benchmark of Visual Storytelling in Social Media

Gonçalo Marcelino, David Semedo, André Mourão +3

Media editors in the newsroom are constantly pressed to provide a "like-being there" coverage of live events. Social media provides a disorganised collection of images and videos t…

cs.MM2018

Temporal Cross-Media Retrieval with Soft-Smoothing

David Semedo, João Magalhães

Multimedia information have strong temporal correlations that shape the way modalities co-occur over time. In this paper we study the dynamic nature of multimedia and social-media…

cs.MM2018

Inferring User Gender from User Generated Visual Content on a Deep Semantic Space

David Semedo, João Magalhães, Flávio Martins

In this paper we address the task of gender classification on picture sharing social media networks such as Instagram and Flickr. We aim to infer the gender of an user given only a…