114 citations · 579 across the 79 of their papers we have counts for
17 papers · 1 filter
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Qian Wang, Toby P. Breckon
Automatic prohibited object detection within 2D/3D X-ray Computed Tomography (CT) has been studied in literature to enhance the aviation security screening at checkpoints. Deep Con…
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation
Naif Alshammari, Samet Akcay, Toby P. Breckon
Robust semantic scene segmentation for automotive applications is a challenging problem in two key aspects: (1) labelling every individual scene pixel and (2) performing this task…
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation
Naif Alshammari, Samet Akcay, Toby P. Breckon
Automotive scene understanding under adverse weather conditions raises a realistic and challenging problem attributable to poor outdoor scene visibility (e.g. foggy weather). Howev…
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation
Qian Wang, Fanlin Meng, Toby P. Breckon
We address the Unsupervised Domain Adaptation (UDA) problem in image classification from a new perspective. In contrast to most existing works which either align the data distribut…
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
William Prew, Toby Breckon, Magnus Bordewich +1
In this paper, we introduce two methods of improving real-time object grasping performance from monocular colour images in an end-to-end CNN architecture. The first is the addition…
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
William Thomson, Neelanjan Bhowmik, Toby P. Breckon
Automatic visual fire detection is used to complement traditional fire detection sensor systems (smoke/heat). In this work, we investigate different Convolutional Neural Network (C…
Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification
Toby P. Breckon, Aishah Alsehaim
Video-based person re-identification has received increasing attention recently, as it plays an important role within surveillance video analysis. Video-based Re-ID is an expansion…
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
Automatic detection of prohibited objects within passenger baggage is important for aviation security. X-ray Computed Tomography (CT) based 3D imaging is widely used in airports fo…
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
Qian Wang, Toby P. Breckon
Domain adaptation approaches aim to exploit useful information from the source domain where supervised learning examples are easier to obtain to address a learning problem in the t…
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
Matt Poyser, Amir Atapour-Abarghouei, Toby P. Breckon
Recent advances in generalized image understanding have seen a surge in the use of deep convolutional neural networks (CNN) across a broad range of image-based detection, classific…
Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI
Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner +2
Recently, substantial progress has been made in the area of Brain-Computer Interface (BCI) using modern machine learning techniques to decode and interpret brain signals. While Ele…
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
Machine learning driven object detection and classification within non-visible imagery has an important role in many fields such as night vision, all-weather surveillance and aviat…
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Seyma Yucer, Samet Akçay, Noura Al-Moubayed +1
Whilst face recognition applications are becoming increasingly prevalent within our daily lives, leading approaches in the field still suffer from performance bias to the detriment…
Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation
Qian Wang, Toby P. Breckon
Heterogeneous Domain Adaptation (HDA) addresses the transfer learning problems where data from the source and target domains are of different modalities (e.g., texts and images) or…
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
X-ray Computed Tomography (CT) based 3D imaging is widely used in airports for aviation security screening whilst prior work on prohibited item detection focuses primarily on 2D X-…
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes
Qian Wang, Najla Megherbi, Toby P. Breckon
Threat Image Projection (TIP) is a technique used in X-ray security baggage screening systems that superimposes a threat object signature onto a benign X-ray baggage image in a pla…
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging
Samet Akcay, Toby Breckon
X-ray security screening is widely used to maintain aviation/transport security, and its significance poses a particular interest in automated screening systems. This paper aims to…