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20192025
most citedRelevance-based Margin for Contrastively-trained Video Retrieval Models

5 citations · 5 across the 3 of their papers we have counts for

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cs.CV2025

Hierarchical Vision-Language Retrieval of Educational Metaverse Content in Agriculture

Ali Abdari, Alex Falcon, Giuseppe Serra

Every day, a large amount of educational content is uploaded online across different areas, including agriculture and gardening. When these videos or materials are grouped meaningf…

cs.CV20225 cited

Relevance-based Margin for Contrastively-trained Video Retrieval Models

Alex Falcon, Swathikiran Sudhakaran, Giuseppe Serra +2

Video retrieval using natural language queries has attracted increasing interest due to its relevance in real-world applications, from intelligent access in private media galleries…

cs.CV2022

Learning video retrieval models with relevance-aware online mining

Alex Falcon, Giuseppe Serra, Oswald Lanz

Due to the amount of videos and related captions uploaded every hour, deep learning-based solutions for cross-modal video retrieval are attracting more and more attention. A typica…

cs.CV2021

SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021

Swathikiran Sudhakaran, Adrian Bulat, Juan-Manuel Perez-Rua +5

This report presents the technical details of our submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021. To participate in the challenge we deployed spatio-temporal…

cs.CV2020

Data augmentation techniques for the Video Question Answering task

Alex Falcon, Oswald Lanz, Giuseppe Serra

Video Question Answering (VideoQA) is a task that requires a model to analyze and understand both the visual content given by the input video and the textual part given by the ques…