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02/27/2023
Predicting the Performance of a Computing System with Deep Networks
Predicting the performance and energy consumption of computing hardware ...
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12/12/2022
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets
Skin cancer is the most common malignancy in the world. Automated skin c...
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07/11/2022
Long-term Reproducibility for Neural Architecture Search
It is a sad reflection of modern academia that code is often ignored aft...
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02/06/2022
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification
Convolutional Neural Networks have demonstrated human-level performance ...
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12/02/2021
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving
Biases can filter into AI technology without our knowledge. Oftentimes, ...
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09/20/2021
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
Convolutional Neural Networks have demonstrated dermatologist-level perf...
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09/20/2021
Transforming Fake News: Robust Generalisable News Classification Using Transformers
As online news has become increasingly popular and fake news increasingl...
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09/05/2021
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
The use of mobiles phones when driving have been a major factor when it ...
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11/20/2020
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing
As cybercriminals scale up their operations to increase their profits or...
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10/23/2020
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
With the growing significance of graphs as an effective representation o...
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09/10/2020
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing
Text classification has long been a staple in natural language processin...
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07/28/2020
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
Recent advances in generalized image understanding have seen a surge in ...
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12/11/2019
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments
With the rapidly growing expansion in the use of UAVs, the ability to au...
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11/19/2019
Volenti non fit injuria: Ransomware and its Victims
With the recent growth in the number of malicious activities on the inte...
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08/19/2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Newly emerging variants of ransomware pose an ever-growing threat to com...
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08/15/2019
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation
Robust three-dimensional scene understanding is now an ever-growing area...
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07/18/2019
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
Increased growth in the global Unmanned Aerial Vehicles (UAV) (drone) in...
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03/26/2019
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
Robust geometric and semantic scene understanding is ever more important...
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01/25/2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
Despite inherent ill-definition, anomaly detection is a research endeavo...
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09/14/2018
Style Augmentation: Data Augmentation via Style Randomization
We introduce style augmentation, a new form of data augmentation based o...
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08/19/2018
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery
Recent automotive vision work has focused almost exclusively on processi...
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05/17/2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Anomaly detection is a classical problem in computer vision, namely the ...
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07/22/2017