activity
20192025
most citedA Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval

26 citations · 32 across the 8 of their papers we have counts for

collaborators

11 papers

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.CV2023

A Language-based solution to enable Metaverse Retrieval

Ali Abdari, Alex Falcon, Giuseppe Serra

Recently, the Metaverse is becoming increasingly attractive, with millions of users accessing the many available virtual worlds. However, how do users find the one Metaverse which…

cs.CV2023

FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests

Ali Abdari, Alex Falcon, Giuseppe Serra

Nowadays, many people frequently have to search for new accommodation options. Searching for a suitable apartment is a time-consuming process, especially because visiting them is o…

cs.CV2023

UniUD Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2023

Alex Falcon, Giuseppe Serra

In this report, we present the technical details of our submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2023. To participate in the challenge, we ensembled t…

cs.CV2022★ 26 cited

A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval

Alex Falcon, Giuseppe Serra, Oswald Lanz

Every hour, huge amounts of visual contents are posted on social media and user-generated content platforms. To find relevant videos by means of a natural language query, text-vide…

cs.CV2022★ 1 cited

UniUD-FBK-UB-UniBZ Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2022

Alex Falcon, Giuseppe Serra, Sergio Escalera +1

This report presents the technical details of our submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2022. To participate in the challenge, we designed an ensem…