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05/17/2023
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans
Chest X-rays have been widely used for COVID-19 screening; however, 3D c...
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10/05/2022
BaseTransformers: Attention over base data-points for One Shot Learning
Few shot classification aims to learn to recognize novel categories usin...
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10/03/2022
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations
End-to-end reinforcement learning techniques are among the most successf...
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09/19/2022
Towards advanced robotic manipulation
Robotic manipulation and control has increased in importance in recent y...
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05/19/2022
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks
This paper describes a deep reinforcement learning (DRL) approach that w...
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10/26/2021
Semi-supervised dry herbage mass estimation using automatic data and synthetic images
Monitoring species-specific dry herbage biomass is an important aspect o...
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10/26/2021
Addressing out-of-distribution label noise in webly-labelled data
A recurring focus of the deep learning community is towards reducing the...
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09/30/2021
Real Robot Challenge using Deep Reinforcement Learning
This paper details our winning submission to Phase 1 of the 2021 Real Ro...
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05/04/2021
Attention-based Stylisation for Exemplar Image Colourisation
Exemplar-based colourisation aims to add plausible colours to a grayscal...
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04/30/2021
Evaluating Contrastive Models for Instance-based Image Retrieval
In this work, we evaluate contrastive models for the task of image retri...
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12/18/2020
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates
Current deep learning based video classification architectures are typic...
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11/20/2020
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos
The spherical domain representation of 360 video/image presents many cha...
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03/02/2016
Shallow and Deep Convolutional Networks for Saliency Prediction
The prediction of salient areas in images has been traditionally address...
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04/09/2015
