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03/02/2023
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption
Anomaly detection is the task of recognising novel samples which deviate...
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11/24/2022
Detecting Anomalies using Generative Adversarial Networks on Images
Automatic detection of anomalies such as weapons or threat objects in ba...
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10/29/2022
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery
X-ray baggage security screening is in widespread use and crucial to mai...
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05/16/2022
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
Lossy image compression strategies allow for more efficient storage and ...
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12/01/2021
Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery
Within commercial wind energy generation, the monitoring and predictive ...
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10/10/2021
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery
The recent advancement in deep Convolutional Neural Network (CNN) has br...
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08/27/2021
On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks
Automatic detection of prohibited items within complex and cluttered X-r...
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10/17/2020
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
Automatic visual fire detection is used to complement traditional fire d...
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08/03/2020
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Automatic detection of prohibited objects within passenger baggage is im...
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03/27/2020
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery
X-ray Computed Tomography (CT) based 3D imaging is widely used in airpor...
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11/20/2019
Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
In this work we explore different Convolutional Neural Network (CNN) arc...
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11/20/2019
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery
X-ray imagery security screening is essential to maintaining transport s...
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11/19/2019
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery
X-ray security screening is in widespread use to maintain transportation...
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09/25/2019
The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery
Detecting prohibited items in X-ray security imagery is pivotal in maint...
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04/10/2019
