activity
20092026
most citedContrastive Representation Learning: A Framework and Review

855 citations · 1.2k across the 90 of their papers we have counts for

collaborators
Showing 2022Show all

12 papers · 1 filter

cs.LG2022

Managing Large Dataset Gaps in Urban Air Quality Prediction: DCU-Insight-AQ at MediaEval 2022

Dinh Viet Cuong, Phuc H. Le-Khac, Adam Stapleton +3

Calculating an Air Quality Index (AQI) typically uses data streams from air quality sensors deployed at fixed locations and the calculation is a real time process. If one or a numb…

cs.CV2022★ 1 cited

Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability

Lorin Sweeney, Graham Healy, Alan F. Smeaton

As part of the MediaEval 2022 Predicting Video Memorability task we explore the relationship between visual memorability, the visual representation that characterises it, and the u…

cs.CV2022★ 5 cited

Overview of The MediaEval 2022 Predicting Video Memorability Task

Lorin Sweeney, Mihai Gabriel Constantin, Claire-Hélène Demarty +8

This paper describes the 5th edition of the Predicting Video Memorability Task as part of MediaEval2022. This year we have reorganised and simplified the task in order to lubricate…

cs.LG2022

An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision

Xiao Liu, Alan F. Smeaton, Alessandra Mileo

Recent developments in in-situ monitoring and process control in Additive Manufacturing (AM), also known as 3D-printing, allows the collection of large amounts of emission data dur…

cs.CV2022

Experiences from the MediaEval Predicting Media Memorability Task

Alba García Deco de Herrera, Mihai Gabriel Constantin, Chaire-Hélène Demarty +8

The Predicting Media Memorability task in the MediaEval evaluation campaign has been running annually since 2018 and several different tasks and data sets have been used in this ti…

cs.CV2022

Motion Aware Self-Supervision for Generic Event Boundary Detection

Ayush K. Rai, Tarun Krishna, Julia Dietlmeier +3

The task of Generic Event Boundary Detection (GEBD) aims to detect moments in videos that are naturally perceived by humans as generic and taxonomy-free event boundaries. Modeling…