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20092025
most citedContrastive Representation Learning: A Framework and Review

855 citations · 972 across the 45 of their papers we have counts for

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8 papers · 1 filter

eess.IV2023

Heart Rate Detection Using an Event Camera

Aniket Jagtap, RamaKrishna Venkatesh Saripalli, Joe Lemley +2

Event cameras, also known as neuromorphic cameras, are an emerging technology that offer advantages over traditional shutter and frame-based cameras, including high temporal resolu…

eess.IV202120 cited

Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding

Luka Murn, Saverio Blasi, Alan F. Smeaton +1

The versatility of recent machine learning approaches makes them ideal for improvement of next generation video compression solutions. Unfortunately, these approaches typically bri…

eess.IV2021

Attention-based Stylisation for Exemplar Image Colourisation

Marc Gorriz Blanch, Issa Khalifeh, Alan Smeaton +2

Exemplar-based colourisation aims to add plausible colours to a grayscale image using the guidance of a colour reference image. Most of the existing methods tackle the task as a st…

eess.IV202120 cited

Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding

Marc Górriz, Saverio Blasi, Alan F. Smeaton +2

Neural networks can be successfully used to improve several modules of advanced video coding schemes. In particular, compression of colour components was shown to greatly benefit f…

eess.IV20202 cited

A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset

David Azcona, Kevin McGuinness, Alan F. Smeaton

This work presents a comparative study of existing and new techniques to detect knee injuries by leveraging Stanford's MRNet Dataset. All approaches are based on deep learning and…

eess.IV20203 cited

Chroma Intra Prediction with attention-based CNN architectures

Marc Górriz, Saverio Blasi, Alan F. Smeaton +2

Neural networks can be used in video coding to improve chroma intra-prediction. In particular, usage of fully-connected networks has enabled better cross-component prediction with…