855 citations · 941 across the 19 of their papers we have counts for
20 papers
Encoding EEG Signals to Examine Human-Like Next-Word Prediction Behaviour in Language Models
Boi Mai Quach, Binh T. Nguyen, Cathal Gurrin +1
Language models (LMs) are trained to excel at predicting the next word in the sequence given prior context, and humans also share this predictability in reading comprehension. Neur…
Memories in the Making: Predicting Video Memorability with Encoding Phase EEG
Lorin Sweeney, Graham Healy, Alan F. Smeaton
In a world of ephemeral moments, our brain diligently sieves through a cascade of experiences, like a skilled gold prospector searching for precious nuggets amidst the river's rele…
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…
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…
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…
An Improved Subject-Independent Stress Detection Model Applied to Consumer-grade Wearable Devices
Van-Tu Ninh, Manh-Duy Nguyen, Sinéad Smyth +4
Stress is a complex issue with wide-ranging physical and psychological impacts on human daily performance. Specifically, acute stress detection is becoming a valuable application i…
Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability
Lorin Sweeney, Ana Matran-Fernandez, Sebastian Halder +3
The aim of the Memorability-EEG pilot subtask at MediaEval'2021 is to promote interest in the use of neural signals -- either alone or in combination with other data sources -- in…
Predicting Media Memorability: Comparing Visual, Textual and Auditory Features
Lorin Sweeney, Graham Healy, Alan F. Smeaton
This paper describes our approach to the Predicting Media Memorability task in MediaEval 2021, which aims to address the question of media memorability by setting the task of autom…
Overview of The MediaEval 2021 Predicting Media Memorability Task
Rukiye Savran Kiziltepe, Mihai Gabriel Constantin, Claire-Helene Demarty +8
This paper describes the MediaEval 2021 Predicting Media Memorability}task, which is in its 4th edition this year, as the prediction of short-term and long-term video memorability…
The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System
Lorin Sweeney, Graham Healy, Alan F. Smeaton
Memories are the tethering threads that tie us to the world, and memorability is the measure of their tensile strength. The threads of memory are spun from fibres of many modalitie…
Investigating Memorability of Dynamic Media
Phuc H. Le-Khac, Ayush K. Rai, Graham Healy +2
The Predicting Media Memorability task in MediaEval'20 has some challenging aspects compared to previous years. In this paper we identify the high-dynamic content in videos and dat…
Leveraging Audio Gestalt to Predict Media Memorability
Lorin Sweeney, Graham Healy, Alan F. Smeaton
Memorability determines what evanesces into emptiness, and what worms its way into the deepest furrows of our minds. It is the key to curating more meaningful media content as we w…
Contrastive Representation Learning: A Framework and Review
Phuc H. Le-Khac, Graham Healy, Alan F. Smeaton
Contrastive Learning has recently received interest due to its success in self-supervised representation learning in the computer vision domain. However, the origins of Contrastive…
Keystroke Dynamics as Part of Lifelogging
Alan F. Smeaton, Naveen Garaga Krishnamurthy, Amruth Hebbasuru Suryanarayana
In this paper we present the case for including keystroke dynamics in lifelogging. We describe how we have used a simple keystroke logging application called Loggerman, to create a…
A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang, Qi She, Alan F. Smeaton +2
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However, eva…
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang, Qi She, Alan F. Smeaton +2
Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. Arguably the…
Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation
Zhengwei Wang, Graham Healy, Alan F. Smeaton +1
Rapid Serial Visual Presentation (RSVP) is a paradigm that supports the application of cortically coupled computer vision to rapid image search. In RSVP, images are presented to pa…
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
Zhengwei Wang, Graham Healy, Alan F. Smeaton +1
There is a growing interest in using generative adversarial networks (GANs) to produce image content that is indistinguishable from real images as judged by a typical person. A num…
Exploring EEG for Object Detection and Retrieval
Eva Mohedano, Amaia Salvador, Sergi Porta +5
This paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in content-based image retrieval. We investigate if it is possible to…
Object Segmentation in Images using EEG Signals
Eva Mohedano, Graham Healy, Kevin McGuinness +3
This paper explores the potential of brain-computer interfaces in segmenting objects from images. Our approach is centered around designing an effective method for displaying the i…