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05/01/2023
Racial Bias within Face Recognition: A Survey
Facial recognition is one of the most academically studied and industria...
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03/20/2023
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
Whilst the availability of 3D LiDAR point cloud data has significantly g...
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03/10/2023
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction
Reconstructing two hands from monocular RGB images is challenging due to...
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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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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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10/25/2022
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
Prior feature transformation based approaches to Unsupervised Domain Ada...
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08/16/2022
Does lossy image compression affect racial bias within face recognition?
Yes - This study investigates the impact of commonplace lossy image comp...
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06/01/2022
Evaluating Gaussian Grasp Maps for Generative Grasping Models
Generalising robotic grasping to previously unseen objects is a key task...
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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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10/25/2021
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation
Domain adaptation solves image classification problems in the target dom...
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10/19/2021
Measuring Hidden Bias within Face Recognition via Racial Phenotypes
Recent work reports disparate performance for intersectional racial grou...
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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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04/28/2021
PANDA : Perceptually Aware Neural Detection of Anomalies
Semi-supervised methods of anomaly detection have seen substantial advan...
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04/13/2021
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification
As unmanned aerial vehicles (UAVs) become more accessible with a growing...
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12/21/2020
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Automatic prohibited object detection within 2D/3D X-ray Computed Tomogr...
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12/09/2020
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation
Robust semantic scene segmentation for automotive applications is a chal...
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12/09/2020
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation
Automotive scene understanding under adverse weather conditions raises a...
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12/01/2020
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation
We address the Unsupervised Domain Adaptation (UDA) problem in image cla...
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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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08/14/2020
Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification
Video-based person re-identification has received increasing attention r...
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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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08/03/2020
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
Domain adaptation approaches aim to exploit useful information from the ...
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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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04/26/2020
Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation
Heterogeneous Domain Adaptation (HDA) aims to enable effective transfer ...
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04/19/2020
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Whilst face recognition applications are becoming increasingly prevalent...
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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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01/15/2020
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes
Threat Image Projection (TIP) is a technique used in X-ray security bagg...
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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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11/20/2019
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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11/18/2019
Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning
Crowd counting using deep convolutional neural networks (CNN) has achiev...
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11/18/2019
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Unsupervised domain adaptation aims to address the problem of classifyin...
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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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09/17/2019
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation
Joint scene understanding and segmentation for automotive applications i...
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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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04/28/2019
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
Handling large corpuses of documents is of significant importance in man...
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04/10/2019
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
X-ray baggage security screening is widely used to maintain aviation and...
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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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03/25/2019
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening
The screening of baggage using X-ray scanners is now routine in aviation...
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03/25/2019
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition
Unsupervised domain adaptation aims to transfer knowledge from a source ...
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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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11/26/2018
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation
This paper addresses the challenge of humanoid robot teleoperation in a ...
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11/20/2018
A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks
Recent studies on multi-label image classification have focused on desig...
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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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05/10/2018
