Published research papers with links to available open access manuscripts, video demos, open source software and datasets.
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209 results2024 | ||
| [yucer24survey] |  | Racial Bias within Face Recognition: A Survey , In ACM Computing Surveys, ACM, 2024. (in press)Keywords: racial bias, face recognition, face identification, face verification, machine learning, computer vision, image understanding, deep learning, AI. |
| [li24trail] |  | TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training , In Proc. British Machine Vision Conference, BMVA, 2024. (to appear)Keywords: autonomous driving, LiDAR, 3D feature points. |
| [liu24flow] |  | Extracting Quantitative Streamline Information from Surface Flow Visualization Images in a Linear Cascade using Convolutional Neural Networks , In Proc. Global Power and Propulsion Society, GPPS, pp. 1-9, 2024.Keywords: flow visualization. |
| [li24rapid-seg] |  | RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for LiDAR Semantic Segmentation , In Proc. European Conference on Computer Vision, Springer, 2024. (to appear)Keywords: autonomous driving, LiDAR, semantic segmentation, 3D feature points. |
| [wang24pseudolabelled] |  | Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation , In IEEE Transactions on Artificial Intelligence, IEEE, Volume 5, No. 9, pp. 4403-4414, 2024.Keywords: domain adaptation, classification, pseudo-labelling. |
| [isaac24ssos] |  | Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis , In Proc. European Conference on Computer Vision, Springer, 2024. (to appear)Keywords: x-ray, thermal, anomaly detection, open world object detection, open-set anonaly detection, object-wise anomaly detection. |
| [rafiei24anomaly] |  | Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy , In Proc. Int. Conf. Neural Networks, IEEE, pp. 1-8, 2024.Keywords: anomay detection, texture analysis, superpixels. |
| [gaus24segment] |  | Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery , In Proc. Computer Vision and Pattern Recognition Workshops, IEEE, pp. 3142-3152, 2024. (to appear)Keywords: x-ray, thermal, infrared, foundational model, SAM, segmentation, semantic segmentation, instance segmantation. |
| [yucer24disentangling] |  | Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics , In Proc. Int. Conf. Neural Networks, IEEE, pp. 1-10, 2024.Keywords: racial bias, GAN, generative adversarial networks, face recognition. |
| [poyser24review] |  | Neural Architecture Search: A Contemporary Literature Review for Computer Vision Applications , In Pattern Recognition, Elsevier, Volume 147, pp. 110052, 2024.Keywords: nas, survery, computer vision architectures, convolutional neural networks, darts, CNN. |
| [liu24U3DS] |  | U3DS$^{3}$: Unsupervised 3D Semantic Scene Segmentation , In Proc. Winter Conference on Applications of Computer Vision, IEEE, pp. 3759-3768, 2024.Keywords: scene segmentation, 3D point cloud, semantic scene understanding, 3D segmentation. |
2023 | ||
| [corona23vqcdt] |  | Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers , In Proc. Int. Conf. Computer Vision, IEEE/CVF, pp. 14585-14594, 2023.Keywords: X-ray to CT translation, baggage security, X-ray security. |
| [yu23hands] |  | ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction , In Proc. Computer Vision and Pattern Recognition, IEEE/CVF, pp. 12955-12964, 2023.Keywords: hand tracking, hand interaction, dual-hand, 3D hand tracking, 3D hand detection. |
| [li23lim3D] |  | Less is More: Reducing Task and Model Complexity for Semi-Supervised 3D Point Cloud Semantic Segmentation , In Proc. Computer Vision and Pattern Recognition, IEEE/CVF, pp. 9361-9371, 2023.Keywords: autonomous driving, LiDAR, laser scanning, vehicle perception, LiM3D. |
| [isaac23exact] |  | Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields , In Proc. Computer Vision and Pattern Recognition, IEEE/CVF, pp. 66-75, 2023.Keywords: NeRF, neural scene representation, radiance fields, Exact-NeRF. |
| [isaac23evaluation] |  | Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening , In Proc. Conf. Computer Vision and Pattern Recognition Workshops, IEEE/CVF, pp. 524-533, 2023.Keywords: x-ray datasets, object detection, airport security, aviation security. |
| [gaus23region] |  | Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery , In Proc. Conf. Computer Vision and Pattern Recognition Workshops, IEEE/CVF, pp. 2995-3005, 2023.Keywords: anomaly detection, optic flow, thermal imagery, visual surveillance, R-CNN, convolutional neural network, deep learning. |
| [wang23zeroshot] |  | Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders , In Neural Networks, Elsevier, Volume 163, pp. 40-52, 2023.Keywords: generalized zero-shot learning, domain adaptation, generalized zero-shot domain adaptation, conditional variational autoencoder. |
| [wang23uda] |  | On Fine-tuned Deep Features for Unsupervised Domain Adaptation , In Proc. Int. Joint Conf. Neural Networks, IEEE, pp. 1-7, 2023.Keywords: unsupervised, domain shift, domain adaptation. |
| [barker23anomaly] |  | Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption , In Proc. Int. Conf. on Computer Vision Theory and Applications, Scitepress, Volume 5, pp. 615-625, 2023.Keywords: anomaly detection, semi-supervised, deep neural networks, deep learning, defect detection. |
| [wang23augmentation] |  | Data Augmentation with norm-VAE and Selective Pseudo-Labelling for Unsupervised Domain Adaptation , In Neural Networks, Elsevier, Volume 161, pp. 614-625, 2023.Keywords: unsupervised domain adaptation, data augmentation, variational autoencoder, selective pseudo-labelling. |
| [kiefer23maritime] |  | 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results , In Proc. Winter Conf. Applications of Computer Vision Workshops, IEEE, pp. 265-302, 2023.Keywords: object detection, maritime, ship, boat, sea, watercraft. |
2022 | ||
| [bhowmik22subcomponent] |  | Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery , In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 1463-1467, 2022.Keywords: super-pixels, anonaly detection, airport security, aviation security. |
| [alsehaim22vidtransreid] |  | VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification , In Proc. British Machine Vision Conference, BMVA, 2022.Keywords: transformers, Re-ID, multi-camera, person reidentification, camera-to-camera tracking, deep learning. |
| [bond-taylor22unleashing] |  | Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes , In Proc. European Conference Computer Vision, Springer, pp. 170–188, 2022.Keywords: transformer neural networks, synthetic image generation. |
| [yucer22compression] |  | Does lossy image compression affect racial bias within face recognition? , In Proc. Int. Joint Conf. on Biometrics, IEEE, pp. 1-10, 2022.Keywords: racial bias, face recognition, face identification, face verification, deep neural networks, deep learning, lossy compression, JPEG. |
| [wang22crowds] |  | Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss , In IEEE Trans. Intelligent Transportation Systems, IEEE, Volume 23, No. 9, pp. 15233 - 15243, 2022.Keywords: crowd counting, curriculum loss, inception-v3, segmentation guided attention networks, convolutional neural networks. |
| [isaac22multiview] |  | Multi-view Vision Transformers for Object Detection , In Proc. Int. Conf. on Pattern Recognition, IEEE, pp. 4678-4684, 2022.Keywords: multi-view x-ray, vision transforms, multi-view geometry, x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning. |
| [groom22omnidirectional] |  | On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision , In Proc. Int. Conf. on Pattern Recognition, IEEE, pp. 3987-3993, 2022.Keywords: stereo vision, spherical camera, angular disparity, bi-polar stereo, vertical stereo, spherical stereo, stereo calibration, camera calibration. |
| [prew22grasping] |  | Evaluating Gaussian Grasp Maps for Generative Grasping Models , In Proc. Int. Joint Conf. Neural Networks, IEEE, pp. 1-9, 2022.Keywords: robotic manipulation, robot grasping, depth images. |
| [bhowmik22compression] |  | Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery , In Proc. Computer Vision and Pattern Recognition Workshops, IEEE/CVF, pp. 368-377, 2022. (Workshop on Perception Beyond the Visible Spectrum)Keywords: object detection, thermal, infrared, lossy image compression, compression artefacts. |
| [isaac22synthesis] |  | Cross-modal Image Synthesis in Dual-Energy X-Ray Security Imagery , In Proc. Computer Vision and Pattern Recognition Workshops, IEEE/CVF, pp. 332-340, 2022. (Workshop on Perception Beyond the Visible Spectrum)Keywords: dual-enery X-ray, GAN, generative adversarial network, airport security, aviation security, materials detection. |
| [wang22crossdomain] |  | Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation , In Pattern Recognition, Elsevier, Volume 123, 2022.Keywords: heterogeneous domain adaptation, cross-domain projection, image classification, text classification. |
| [organisciak22uav-reid] |  | UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery , In Proc. Int. Conf. on Computer Vision Theory and Applications, IEEE, pp. 136-146, 2022.Keywords: drone detection, aerial reidentification, Re-ID, UAV, UAS, tracking. |
| [barker22turbine] |  | Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery , In Proc. Int. Conf. on Computer Vision Theory and Applications, IEEE, pp. 868-876, 2022.Keywords: anomaly detection, transformers, semi-supervised, deep neural networks, deep learning, wind turbine, blade inspection, defect detection. |
| [akcay22survey] |  | Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging , In Pattern Recognition, Elsevier, Volume 122, 2022.Keywords: x-ray security screening, automatic threat detection, prohibited item detection, airport security, deep learning, review, survey. |
| [yucer22phenotypes] |  | Measuring Hidden Bias within Face Recognition via Racial Phenotypes , In Proc. Winter Conference on Applications of Computer Vision, IEEE, pp. 3202-3211, 2022.Keywords: racial bias, face recognition, face identification, face verification, deep neural networks, deep learning. |
2021 | ||
| [raju21emotion] |  | Continuous Multimodal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention , In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 688-693, 2021.Keywords: recurrent neural network, attention, emotion prediction. |
| [web21xray] |  | Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery , In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 610-615, 2021.Keywords: x-ray security screening, automatic threat detection, prohibited item detection, airport security, deep learning. |
| [li21durlar] |  | DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications , In Proc. Int. Conf. on 3D Vision, IEEE, pp. 1227-1237, 2021.Keywords: autonomous driving, dataset, high resolution LiDAR, flash LiDAR, ground truth depth, dense depth, monocular depth estimation, stereo vision, 3D. |
| [wang21materials] |  | Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery , In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 75-82, 2021.Keywords: materials detection, computed tomography, 3D CT, luggage, baggage, aviation security, airport security, deep neural networks, deep learning. |
| [alsehaim21reidar] |  | Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action Recognition , In Proc. British Machine Vision Conference, BMVA, 2021.Keywords: re-id, multi-camera, person reidentification, camera-to-camera tracking, action recognition, weak labels, multi-class, cnn, deep learning. |
| [isaac21uav] |  | Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark , In Proc. Int. Conf. on Computer Vision Workshops, IEEE, pp. 1223-1232, 2021. (Workshop on Detection and Tracking of Unmanned Aerial Vehicle in the Wild)Keywords: drone detection, uav detection, unmanned aerial vehicles, aerial object detection, deep learning, convolutional neural networks, object detection, small object detection, tracking, thermal, infrared. |
| [gokstorp21saliency] |  | Temporal and Non-Temporal Contextual Saliency Analysis for Generalized Wide-Area Search within Unmanned Aerial Vehicle (UAV) Video , In The Visual Computer, Springer, Volume 38, pp. 2033–2040, 2021.Keywords: UAV, drone, saliency, search and rescue, SOR operations, wide-area search, video saliency. |
| [bhowmik21energy] |  | On the Impact of Using X-Ray Energy Response Imagery for Object Detection via Convolutional Neural Networks , In Proc. Int. Conf. on Image Processing, IEEE, pp. 1224-1228, 2021.Keywords: X-ray, false colour, effective-z, object detection, luggage, baggage, aviation security, airport security, deep neural networks, deep learning. |
| [wang21pda] |  | Source Class Selection with Label Propagation for Partial Domain Adaptation , In Proc. Int. Conf. on Image Processing, IEEE, pp. 769-773, 2021.Keywords: partial domain adaptation, label propagation, domain adaptation, subspace learning, locality preserving projection. |
| [barker21panda] |  | PANDA: Perceptually Aware Neural Detection of Anomalies , In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2021.Keywords: anomaly detection, semi-supervised, VAE, GAN, Varational Autoencoder, Generative Adversarial Network, fine-grain classification, concealment detection, x-ray anomaly detection. |
| [adey21anomaly] |  | Autoencoders Without Reconstruction for Textural Anomaly Detection , In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2021.Keywords: anomaly detection, autoencoders, texture analysis, industrial inspection. |
| [wang21segmentation] |  | On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening , In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2021.Keywords: 3D segmentation, computed tomography, 3D CT, luggage, baggage, aviation security, airport security, deep neural networks, deep learning. |
| [alshammari21multimodal] |  | Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation , In Proc. Intelligent Vehicles Symposium, IEEE, pp. 1428-1435, 2021.Keywords: autonomous driving, weather, low visibility, fog, cnn, deep learning, convolutional neural network. |
| [alshammari21competitive] |  | Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation , In Proc. Intelligent Vehicles Symposium, IEEE, pp. 1413-1420, 2021.Keywords: autonomous driving, weather, low visibility, fog, cnn, deep learning, convolutional neural network. |
| [holder21offroad] |  | Learning to Drive: End-to-End Off-Road Path Prediction , In IEEE Intelligent Transportation Systems Magazine, IEEE, Volume 13, No. 2, pp. 217-221, 2021.Keywords: end-to-end autonomous driving, off-road autonomous vehicles, stereo visual odometry, path prediction, steering control. |
2020 | ||
| [carbonneau20fluvial] |  | Adopting Deep Learning Methods for Airborne RGB Fluvial Scene Classification , In Remote Sensing of Environment, Elsevier, Volume 251, No. 15, pp. 112107, 2020.Keywords: deep Learning, fluvial scene classification, river features. |
| [thompson20fire] |  | Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection , In Proc. Int. Conf. Machine Learning Applications, IEEE, pp. 136-141, 2020.Keywords: fire detection, CNN, deep-learning real-time, neural architecture search, nas, automl, non-temporal. |
| [wang20multiclass-ct3d] |  | Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery , In Proc. Int. Conf. Machine Learning Applications, IEEE, pp. 13-18, 2020.Keywords: luggage security, 3D CNN, 3D object detection, volumetric object detection, baggage threat detection, prohibited item detection, ATR, airport security, transport security, CT object recognition. |
| [prew20grasping] |  | Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss , In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 9843-9850, 2020.Keywords: robotic manipulation, robot grasping, depth images. |
| [sasaki20augmentation] |  | Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery , In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 5083-5090, 2020.Keywords: data augmentation, synthetic apature radar, sar, aerial imagery, satellite imagery, martime surveillance. |
| [isaac20multiview] |  | Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery , In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 9889-9896, 2020.Keywords: multi-view x-ray, x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, epipolar geometry, epipolar lines. |
| [aznan20zero] |  | Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI , In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 10418-10425, 2020.Keywords: ssvep, brain computer interface, bci, GAN, convolutional neural networks, cnn, deep learning, low-cost eeg. |
| [alsehaim20reid] |  | Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification , In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 5190-5197, 2020.Keywords: reidentifictaion, camera to camera tracking, non-overlapping cameras, surveillance, cctv. |
| [poyser20compression] |  | On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures , In Proc. Int. Conf. Pattern Recognition, IEEE, pp. 2830-2837, 2020.Keywords: data compression, jpeg, mpeg, compression artefacts, CNN, deep learning, lossy compression. |
| [gaus20transfer] |  | Visible to Infrared Transfer Learning as a Paradigm for Accessible Real-time Object Detection and Classification in Infrared Imagery , In Proc. Conf. Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies, SPIE, Volume 11542, pp. 13-27, 2020.Keywords: far infrared, transfer learning, thermal imaging, people detection, vehicle detection. |
| [wang20ct3d] |  | On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery , In Proc. International Joint Conference on Neural Networks, IEEE, pp. 1-8, 2020.Keywords: luggage security, 3D CNN, 3D object detection, volumetric object detection, baggage threat detection, prohibited item detection, ATR, airport security, transport security, CT object recognition. |
| [yucer20racialbias] |  | Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation , In Proc. Computer Vision and Pattern Recognition Workshops, IEEE/CVF, pp. 1-8, 2020. (Workshop on Fair, Data Efficient and Trusted Computer Vision)Keywords: face recognition, bias in AI, racial bias, GAN, cycleGAN, style transfer, surveillance. |
| [wang20tip] |  | A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes , In Journal of X-Ray Science and Technology, IOS Press, Volume 28, No. 3, pp. 507-526, 2020.Keywords: 3D baggage, CT baggage scanning, threat detection in baggage, TIP, threat image projection. |
| [wang20domain] |  | Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling , In Proc. AAAI Conference on Artificial Intelligence, AAAI, pp. 6243-6250, 2020.Keywords: unsupervised, domain shift, domain adaptation. |
| [wang20baggage] |  | An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening , In Journal of X-ray Science and Technology, IOS Press, Volume 20, No. 1, pp. 35-58, 2020.Keywords: adaptive automatic threat recognition, X-ray computed tomography, 3D image segmentation, baggage security screening, automatic threat detection, materials discrimination. |
| [abarghouei20domain-transfer] |  | Domain Adaptation via Image Style Transfer , Chapter in Domain Adaptation in Computer Vision with Deep Learning, Springer, pp. 137-156, 2020. (ISBN: 978-3-030-45528-6 / 978-3-030-45529-3)Keywords: domain adaptation, image style transfer, monocular depth estimation. |
2019 | ||
| [mohammadi19ocr] |  | On the Use of Neural Text Generation for the Task of Optical Character Recognition , In Proc. Int. Conf. on Computer Systems and Applications, IEEE, pp. 1-8, 2019.Keywords: optical character recognition. |
| [bhowmik19subcomponent] |  | On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery , In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 986-991, 2019.Keywords: x-ray security screening, automatic threat detection, anomaly detection, airport security, deep learning, CNN, baggage. |
| [gaus19transferability] |  | Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery , In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 420-425, 2019.Keywords: x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, RetinaNet, baggage. |
| [ismail19understanding] |  | On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding , In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 641-646, 2019.Keywords: autonomous driving, object detection, stereo vision, driverless vehicles. |
| [adey19anomaly] |  | Region Based Anomaly Detection with Real-Time Training and Analysis , In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 495-499, 2019.Keywords: anomaly detection, region-proposal, region-based, surveillance, cctv, kernel density estimation. |
| [samarth19fire] |  | Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection , In Proc. Int. Conf. on Machine Learning Applications, IEEE, pp. 653-658, 2019.Keywords: fire detection, CNN, deep-learning real-time, non-temporal. |
| [bhowmik19electronics] |  | Using Deep Neural Networks to Address the Evolving Challenges of Concealed Threat Detection within Complex Electronic Items , In Proc. International Symposium on Technologies for Homeland Security, IEEE, pp. 1-6, 2019.Keywords: x-ray security screening, automatic threat detection, airport security, deep learning, CNN, convolutional neural networks, baggage. |
| [gaus19firearms] |  | On the Use of Deep Learning for the Detection of Firearms in X-ray Baggage Security Imagery , In Proc. International Symposium on Technologies for Homeland Security, IEEE, pp. 1-7, 2019.Keywords: x-ray security screening, automatic threat detection, firearm detection, airport security, deep learning, CNN, convolutional neural networks, baggage. |
| [pearson19multi-task] |  | Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments , In Robotics and Automation Letters, IEEE, Volume 4, No. 4, pp. 4116-4123, 2019.Keywords: autonomous flight, deep learning, drones, regressive flight control, machine learning flight controller, simulation. |
| [wang19multilabel] |  | A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks , In Proc. Int. Conf. on Image Processing, IEEE, pp. 644-648, 2019.Keywords: multi-Label image classification, deep convolutional neural network, aata augmentation. |
| [bhowmik19synthetic] |  | The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composite X-ray Imagery , In Proc. British Machine Vision Conference Workshops, BMVA, pp. 1-8, 2019.Keywords: x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, RetinaNet, baggage. |
| [abarghouei19multi-task] |  | To complete or to estimate, that is the question: A Multi-Task Depth Completion and Monocular Depth Estimation , In Proc. Int. Conf. 3D Vision, IEEE, pp. 183-193, 2019.Keywords: monocular depth estimation, convolutional neural networks, lidar, sparse-to-dense, depth completion. |
| [stephenson19degraf-flow] |  | DeGraF-Flow: Extending DeGraF Features for Accurate and Efficient Sparse-to-Dense Optical Flow Estimation , In Proc. Int. Conference on Image Processing, IEEE, pp. 1277-1281, 2019.Keywords: optical flow, Dense Gradient Based Features, DeGraF, automotive vision, feature points. |
| [abarghouei19segment-wise] |  | Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior , In Proc. Int. Conf. on Image Processing, IEEE, pp. 4295-4299, 2019.Keywords: monocular depth estimation, convolutional neural networks, semantic segmentation. |
| [zhang19discrete] |  | Discrete Curvature Representations for Noise Robust Image Corner Detection , In IEEE Transactions on Image Processing, IEEE, Volume 29, No. 9, pp. 4444-4459, 2019.Keywords: discrete curvature representations, corner detection, corner resolution, noise robustness. |
| [peng19tracking] |  | A Ranking based Attention Approach for Visual Tracking , In Proc. Int. Conf. on Image Processing, IEEE, pp. 3073-3077, 2019.Keywords: visual tracking, ranking based attention, convolutional tracker, convLSTM. |
| [aznan19ssvep-gan] |  | Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification , In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2019.Keywords: . |
| [wang19unsupervised] |  | Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition , In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2019.Keywords: unsupervised learning, domain adaptation, zero-shot learning. |
| [abarghouei19gan] |  | Generative Adversarial Framework for Depth Filling via Wasserstein Metric, Cosine Transform and Domain Transfer , In Pattern Recognition, Elsevier, Volume 91, pp. 232-244, 2019.Keywords: depth filling, RGB-D, hole filling, surface completion, 3D completion, depth completion, depth map, disparity hole filling, GAN, generative adversarial network, Wasserstein GAN. |
| [gaus19anomaly] |  | Evaluating a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery , In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2019.Keywords: anomaly detection, mask R-CNN, baggage security, x-ray security screening, automatic threat detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, mask R-CNN. |
| [akcay19skip-ganomaly] |  | Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection , In Proc. Int. Joint Conference on Neural Networks, IEEE, pp. 1-8, 2019.Keywords: anomaly detection, GAN, generative adversarial networks, skip-conections. |
| [abarghouei19depth] |  | Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach , In Proc. Computer Vision and Pattern Recognition, IEEE/CVF, pp. 3368-3379, 2019.Keywords: monocular depth, generative adversarial network, GAN, depth map, disparity, depth from single image, multiple task learning, semantic segmantation, temporal consistency. |
| [jackson19style] |  | Style Augmentation: Data Augmentation via Style Randomization , In Proc. Computer Vision and Pattern Recognition Workshops, IEEE/CVF, pp. 1-10, 2019.Keywords: style transfer, domain transfer, data augmentation. |
| [aznan19navigation] |  | Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation , In Proc. Int. Conf. Robotics and Automation, IEEE, pp. 4889-4895, 2019.Keywords: ssvep, brain computer interface, bci, cnn, neural networks, convolutional neural networks, deep learning, dry-eeg, robot guidance. |
| [podmore19ssvep] |  | On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-based Bio-Signal Decoding in BCI Speller Applications , In IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE, Volume 24, No. 7, pp. 611-618, 2019.Keywords: ssvep, brain computer interface, bci, cnn, neural networks, convolutional neural networks, deep learning, speller. |
| [mouton19relevance] |  | On the Relevance of Denoising and Artefact Reduction in 3D Segmentation and Classification within Complex Computed Tomography Imagery , In Journal of X-Ray Science and Technology, IOS Press, Volume 27, No. 1, pp. 51-72, 2019.Keywords: 3D baggage, 3D baggage classification, CT baggage scanning, denoising, metal artefact reduction, MAR, MAR comparision. |
| [abarghouei19missing-depth] |  | Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation , Chapter in RGB-D Image Analysis and Processing, Springer, pp. 15-50, 2019. (ISBN: 978-3-030-28602-6 / 978-3-030-28603-3)Keywords: depth filling, RGB-D, hole filling, surface completion, 3D completion, depth completion, depth map, disparity hole filling, GAN, generative adversarial network, Wasserstein GAN. |
2018 | ||
| [medhat18tmixt] |  | TMIXT: A process workflow for Transcribing MIXed handwritten and machine-printed Text , In Proc. IEEE Conf. Big Data Workshops, IEEE, pp. 2986-2994, 2018.Keywords: optical character recognition, OCR, handwritten text recognition. |
| [aznan18ssvep] |  | On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks , In Proc. Int. Conf. on Systems, Man, and Cybernetics, IEEE, pp. 3726-3731, 2018.Keywords: ssvep, brain computer interface, bci, cnn, neural networks, convolutional neural networks, deep learning, low-cost eeg. |
| [dunnings18fire] |  | Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection , In Proc. Int. Conf. on Image Processing, IEEE, pp. 1558-1562, 2018.Keywords: fire detection, CNN, deep-learning real-time, non-temporal. |
| [pdlg18panoramic] |  | Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery , In Proc. European Conference on Computer Vision, Springer, pp. 812-830, 2018.Keywords: monocular depth, 360 monocular depth, 3D object pose, 360 video, 3D bounding box, vehicle detection. |
| [kerner18profiling] |  | Author Profiling: Gender Prediction from Tweets and Images , In Proc. Conf. and Labs of the Evaluation Forum (Workshop) – Working Notes Papers, CEUR-WS, Volume 2125, pp. 1-14, 2018. (ISSN: 1613-0073)Keywords: author profiling, gender classification,content-based features, style-based features,images,supervised machine learning, tweets, visualfeatures. |
| [akcay18ganomaly] |  | GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training , In Proc. Asian Conference on Computer Vision, Springer, pp. 622-637, 2018.Keywords: anomaly detection, GAN, generative adversarial networks. |
| [akcay18architectures] |  | On Using Deep Convolutional Neural Network Architectures for Automated Object Detection and Classification within X-ray Baggage Security Imagery , In IEEE Transactions on Information Forensics & Security, IEEE, Volume 13, No. 9, pp. 2203-2215, 2018.Keywords: x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, R-FCN, RCNN, Faster RCNN, ResNet, YOLO. |
| [dong18colourization] |  | Infrared Image Colorization Using S-Shape Network , In Proc. Int. Conf. on Image Processing, IEEE, pp. 2242-2246, 2018.Keywords: deep learning, image colorization, near infrared, false colour. |
| [guo18raindrop] |  | On The Impact Of Varying Region Proposal Strategies For Raindrop Detection And Classification Using Convolutional Neural Networks , In Proc. Int. Conf. on Image Processing, IEEE, pp. 3413-3417, 2018.Keywords: raindrop detection, rain detection, rain removal, rain noise removal, rain interference, scene context, raindrop saliency, rain classification, CNN, deep learning. |
| [pearson18forest] |  | Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy , In Proc. Towards Autonomous Robotic Systems Conference, Springer, pp. 147-158, 2018.Keywords: drone, deep learning, convolutional neural network, robot guidance, flight guidance, unmanned aerial vehicle, unmanned aerial system, monocular, pathway detection. |
| [holder18offroad] |  | Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction , In Proc. Intelligent Vehicles Symposium, IEEE, pp. 2104-2110, 2018.Keywords: end-to-end autonomous driving, off-road autonomous vehicles, stereo visual odometry, path prediction, steering control. |
| [abarghouei18monocular] |  | Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer , In Proc. Computer Vision and Pattern Recognition, IEEE/CVF, pp. 2800-2810, 2018.Keywords: monocular depth, generative adversarial network, GAN, depth map, disparity, depth from single image, style transfer. |
| [alshammari18invariant] |  | On the Impact of Illumination-Invariant Image Pre-transformation on Contemporary Automotive Semantic Scene Understanding , In Proc. Intelligent Vehicles Symposium, IEEE, pp. 1027-1032, 2018.Keywords: illumination invariance, semantic scene segmentation, pre-processing, CNN, all-weather performance, deep learning. |
| [loveday18parallax] |  | On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling , In Proc. Computer Vision and Pattern Recognition Workshops, IEEE/CVF, pp. 1267-1276, 2018.Keywords: thermal, infrared, beamsplitter, registration, background modelling, thermal visible fusion, far infrared, LWIR. |
| [lin18spherical] |  | Real-time Low-Cost Omni-directional Stereo Vision via Bi-Polar Spherical Cameras , In Proc. Int. Conf. Image Analysis and Recognition, Springer, pp. 315-325, 2018.Keywords: stereo vision, spherical camera, angular disparity correction, bi-polar stereo, vertical stereo, spherical stereo. |
| [abarghouei18patch] |  | Extended Patch Prioritization For Depth Hole Filling Within Constrained Exemplar-Based RGB-D Image Completion , In Proc. Int. Conf. Image Analysis and Recognition, Springer, pp. 306-314, 2018. (Best Paper Award)Keywords: depth filling, RGB-D, surface relief, hole filling, surface completion, 3D texture, depth completion, depth map, disparity hole filling. |
| [holder18offroaddepth] |  | Encoding Stereoscopic Depth Features for Scene Understanding in Off-Road Environments , In Proc. Int. Conf. Image Analysis and Recognition, Springer, pp. 427-434, 2018.Keywords: automotive vision, terrain segmentation, terrain segments, transfer learning, convolutional neural networks, stereo vision. |
| [abarghouei18review] |  | A Comparative Review of Plausible Hole Filling Strategies in the Context of Scene Depth Image Completion , In Computers and Graphics, Elsevier, Volume 72, pp. 39-58, 2018.Keywords: depth filling, RGB-D, hole filling, surface completion, 3D completion, depth completion, depth map, disparity hole filling. |
2017 | ||
| [pearson17forest] |  | An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy , In Proc. Conf. on Robotics and Autonomous Systems - Robots that Work Among Us Workshop, UK Robotics and Autonomous Systems Network, pp. 1-3, 2017.Keywords: drone, deep learning, convolutional neural network, robot guidance, flight guidance, unmanned aerial vehicle, unmanned aerial system, monocular, pathway detection. |
| [qian17clustering] |  | Clustering in Pursuit of Temporal Correlation for Human Motion Segmentation , In Multimedia Tools and Applications, Springer, pp. 1-17, 2017.Keywords: visual tracking, human motion segmentation, temporal correlation, temporal clustering, spectral clustering. |
| [akcay17region] |  | An Evaluation Of Region Based Object Detection Strategies Within X-Ray Baggage Security Imagery , In Proc. Int. Conf. on Image Processing, IEEE, pp. 1337-1341, 2017.Keywords: x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, R-FCN, RCNN, Faster RCNN, ResNet. |
| [wu17faces] |  | Face Recognition via Deep Sparse Graph Neural Networks , In Proc. British Machine Vision Conference Workshops, BMVA, pp. 1-8, 2017.Keywords: face recognition, deep learning, deepid, deep neural networks, deep convolutional neural networks, dsgnn. |
| [abarghouei17depthcomp] |  | DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation , In Proc. British Machine Vision Conference, BMVA, pp. 208.1-208.13, 2017.Keywords: depth filling, RGB-D, surface relief, hole filling, surface completion, 3D texture, depth completion, depth map, disparity hole filling. |
| [zhang17edges] |  | Noise Robust Image Edge Detection based upon the Automatic Anisotropic Gaussian Kernels , In Pattern Recognition, Elsevier, Volume 63, No. 8, pp. 193–205, 2017.Keywords: automatic anisotropic Gaussian kernels, anisotropic directional derivatives (ANDDs), edge detection, Canny detector. |
2016 | ||
| [abarghouei16filling] |  | Back to Butterworth - a Fourier Basis for 3D Surface Relief Hole Filling within RGB-D Imagery , In Proc. Int. Conf. on Pattern Recognition, IEEE, pp. 2813-2818, 2016.Keywords: depth filling, RGB-D, surface relief, Fourier, DFT, hole filling, surface completion, frequency domain, 3D texture, depth completion, query expansion, depth map, texture synthesis, disparity hole filling, Butterworth filtering. |
| [kundegorski16xray] |  | On using Feature Descriptors as Visual Words for Object Detection within X-ray Baggage Security Screening , In Proc. Int. Conf. on Imaging for Crime Detection and Prevention, IET, pp. 12 (6 .)-12 (6 .)(1), 2016.Keywords: x-ray security screening, automatic threat detection, firearms detection, bag of visual words, feature descriptors, airport security. |
| [holder16offroad] |  | From On-Road to Off: Transfer Learning within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes , In Proc. European Conference on Computer Vision Workshops, Springer, pp. 149-162, 2016.Keywords: automotive vision, off-road semantic understanding, off-road computer vision, off-road scene labelling, terrain segmentation, terrain segments, transfer learning, convolutional neural networks, bag of visual words, deep learning. |
| [hamilton16removal] |  | Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow , In Proc. Int. Conf. on Image Processing, IEEE, pp. 3439-3443, 2016.Keywords: 3D, automotive stereo, optic flow, disparity projection, pedestrain removal, object removal, scene mapping. |
| [akcay16transfer] |  | Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery , In Proc. Int. Conf. on Image Processing, IEEE, pp. 1057 -1061, 2016.Keywords: convolutional neural networks, deep learning, transfer learning, image classification, baggage X-ray security. |
| [katramados16degraf] |  | Dense Gradient-based Features (DeGraF) for Computationally Efficient and Invariant Feature Extraction in Real-time Applications , In Proc. Int. Conf. on Image Processing, IEEE, pp. 300-304, 2016.Keywords: dense features, feature invariance, feature points, intensity weighted centroids, automotive vision. |
| [moubayed16spam] |  | SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder , In Proc. Int. Conf. on Artificial Neural Networks, Springer, Volume 2, pp. 423-430, 2016.Keywords: topic modelling, text processing, deep learning. |
| [sugimoto16bilateral] |  | Constant-time Bilateral Filter using Spectral Decomposition , In Proc. Int. Conf. on Image Processing, IEEE, pp. 3319-3323, 2016.Keywords: image filtering, noise removal, smoothing, edge preserving filter, denoising. |
| [kundegorski16vehicle] |  | Real-time Classification of Vehicle Types within Infra-red Imagery , In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 9995, pp. 1-16, 2016.Keywords: vehicle sub-category classification, thermal target tracking, bag of visual words, histogram of oriented gradient, convolutional neural network, sensor networks, passive target positioning, vehicle localization. |
| [thomas16sapient] |  | Towards Sensor Modular Autonomy for Persistent Land Intelligence Surveillance and Reconnaissance , In Proc. SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent Intelligence Surveillance and Reconnaissance VII, SPIE, Volume 9831, No. VII, pp. 1-18, 2016.Keywords: information fusion, tracking, multiple sensor, sensor networks, wide area surveillance, sapient, ISR, multi-modal, fused tracking, sapient. |
2015 | ||
| [kriechbaumer15vessel] |  | Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications , In Sensors, MDPI, Volume 15, No. 12, pp. 31869-31887, 2015.Keywords: visual odometry, river monitoring, stereo vision, autonomous boat, watercraft, survey vessel, autonomous river navigation, GPS denied environments. |
| [chermak15liquids] |  | Geometrical Approach for the Automatic Detection of Liquid Surfaces in 3D Computed Tomography Baggage Imagery , In Imaging Science Journal, Wiley, Volume 63, No. 8, pp. 447-457, 2015.Keywords: computed tomography, aviation security, 3D security screening, baggage imagery, planar fitting, elliptical fitting, liquid detection. |
| [qian15tracking] |  | Robust Visual Tracking via Speedup Multiple Kernel Ridge Regression , In Journal of Electronic Imaging, SPIE, Volume 24, No. 5, pp. 1-17, 2015.Keywords: visual tracking, kernel ridge regression, multiple kernel learning, fast interpolate iterative algorithm. |
| [mouton15review] |  | A Review of Automated Image Understanding within 3D Baggage Computed Tomography Security Screening , In Journal of X-Ray Science and Technology, IOS Press, Volume 23, No. 5, pp. 531-555, 2015.Keywords: baggage screening, automated image understanding, dual energy computed tomography, DECT, computer vision. |
| [webster15raindrop] |  | Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation , In Proc. Int. Conf. on Image Processing, IEEE, pp. 4376-4380, 2015.Keywords: raindrop detection, rain detection, rain removal, rain noise removal, rain interference, scene context, raindrop saliency, rain classification. |
| [cavestany15robot] |  | Improved 3D Sparse Maps for High-performance Structure from Motion with Low-cost Omnidirectional Robots , In Proc. Int. Conf. on Image Processing, IEEE, pp. 4927-4931, 2015.Keywords: structure from motion, ill-conditioned baseline configurations, omnidirectional 3D, robot sensing, robot vision, 3D visual sensing, point clouds, robot scene mapping. |
| [kundegorski15posture] |  | Posture Estimation for Improved Photogrammetric Localization of Pedestrians in Monocular Infrared Imagery , In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 9652, No. XI, pp. 1-12, 2015.Keywords: thermal people detection, infrared, tracking, photogrammetry, tracking, posture estimation, pedestrian height regression, regressive height estimation. |
| [breszcz15mosaic] |  | Real-time Construction and Visualization of Drift-Free Video Mosaics from Unconstrained Camera Motion , In IET J. Engineering, IET, Volume 2015, No. 16, pp. 1-12, 2015.Keywords: mosaic, mosaicking, mosiacing, real-time, visualization, graphics acceleration, blending. |
| [flitton15codebooks] |  | Object Classification in 3D Baggage Security Computed Tomography Imagery using Visual Codebooks , In Pattern Recognition, Elsevier, Volume 48, No. 8, pp. 2489–2499, 2015.Keywords: luggage security, 3D bag of visual words, 3D object recognition, baggage threat detection, density gradient histogram, density histogram, SIFT, RIFT, material density recogniton, airport security, transport security, CT object recognition. |
| [mouton15segmentation] |  | Materials-Based 3D Segmentation of Unknown Objects from Dual-Energy Computed Tomography Imagery in Baggage Security Screening , In Pattern Recognition, Elsevier, Volume 48, No. 6, pp. 1961–1978, 2015.Keywords: luggage security, 3D segmentation, 3D material segmentation, effective-Z, density segmentation, airport security, transport security, CT segmentation. |
2014 | ||
| [walger14headpose] |  | A Comparison of Features for Regression-based Driver Head Pose Estimation under Varying Illumination Conditions , In Proc. International Workshop on Computational Intelligence for Multimedia Understanding, IEEE, pp. 1-5, 2014.Keywords: head pose, driver head tracking, gaze tracking, pose estimation regression. |
| [kurcius14audiovisual] |  | Using Compressed Audio-visual Words for Multi-modal Scene Classification , In Proc. International Workshop on Computational Intelligence for Multimedia Understanding, IEEE, pp. 1-5, 2014.Keywords: multi-resolution, bag of words, MFCC, compressed sensing, audio-visual, multi-modal, random projection matrix. |
| [mouton14randomised] |  | 3D Object Classification in Baggage Computed Tomography Imagery using Randomised Clustering Forests , In Proc. Int. Conf. on Image Processing, IEEE, pp. 5202-5206, 2014.Keywords: . |
| [kundegorski14photogrammetric] |  | A Photogrammetric Approach for Real-time 3D Localization and Tracking of Pedestrians in Monocular Infrared Imagery , In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 9253, No. 01, pp. 1-16, 2014.Keywords: thermal people detection, infrared, tracking, photogrammetry, 3D tracking. |
| [pdlg14depth] |  | Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo , In Proc. British Machine Vision Conference, BMVA, pp. 417.1-417.12, 2014.Keywords: rgb-d, consumer depth camera, kinect, depth improvment, disparity space image, multimodal stereo, multi-modal, infrared colour stereo, depth map improvement, hole filling, structured light, disparity filling, disparity improvement, infrared stereo vision. |
| [fisher14dictionary] |  | Dictionary of Computer Vision and Image Processing , Wiley, 2014. (ISBN-13: 978-1119941866) |
2013 | ||
| [megherbi13radon] |  | Radon Transform based Metal Artefacts Generation in 3D Threat Image Projection , In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 8901, No. B, pp. 1-7, 2013.Keywords: 3D baggage, 3D baggage classification, CT baggage scanning, threat detection in baggage, TIP, threat image projection. |
| [megherbi13segmentation] |  | Investigating Existing Medical CT Segmentation Techniques within Automated Baggage and Package Inspection , In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 8901, No. L, pp. 1-8, 2013.Keywords: 3D baggage, 3D baggage classification, CT baggage scanning, threat detection in baggage, baggage segmentation. |
| [hamilton13stereo] |  | A Foreground Object based Quantitative Assessment of Dense Stereo Approaches for use in Automotive Environments , In Proc. Int. Conf. on Image Processing, IEEE, pp. 418-422, 2013.Keywords: stereo vision, quantative assessment, foreground objects, automotive stereo vision. |
| [flitton13interestpoint] |  | A Comparison of 3D Interest Point Descriptors with Application to Airport Baggage Object Detection in Complex CT Imagery , In Pattern Recognition, Elsevier, Volume 46, No. 9, pp. 2420-2436, 2013.Keywords: automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage, 3D SIFT, 3D RIFT. |
| [han13humanpose] |  | Human Pose Classification within the Context of Near-IR Imagery Tracking , In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence, SPIE, Volume 8901, No. E, pp. 1-10, 2013.Keywords: human pose understanding, thermal imagery, tracking, weapon. |
| [mise13superresolution] |  | Image Super-Resolution Applied to Moving Targets in High Dynamics Scenes , In Proc. SPIE Emerging Technologies in Security and Defence: Unmanned Sensor Systems, SPIE, Volume 8899, No. 17, pp. 1-12, 2013.Keywords: super-resolution, tracking. |
| [chereau13stablization] |  | Robust Motion Filtering as an Enabler to Video Stabilization for a Tele-operated Mobile Robot , In Proc. SPIE Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII, SPIE, Volume 8897, No. 01, pp. 1-17, 2013.Keywords: tele-operation, EOD, stablization, motion vector filtering, vibration. |
| [breckon13autonomous] |  | Multi-Modal Target Detection for Autonomous Wide Area Search and Surveillance , In Proc. SPIE Emerging Technologies in Security and Defence: Unmanned Sensor Systems, SPIE, Volume 8899, No. 01, pp. 1-19, 2013.Keywords: autonomous robots, grand challenge, wide area search, search and rescue, UAV, infrared, thermal. |
| [mouton13mar] |  | A Distance Weighted Method for Metal Artefact Reduction in CT , In Proc. Int. Conf. on Image Processing, IEEE, pp. 2334-2338, 2013.Keywords: CT imagery, image denoising, mar. |
| [faria13aesthetics] |  | Challenges of Finding Aesthetically Pleasing Images , In Proc. International Workshop on Image and Audio Analysis for Multimedia Interactive Services, IEEE, pp. 1-4, 2013.Keywords: visual aesthetics, photographic quality assessment, visually pleasing, subjective image assessment. |
| [mouton13survey] |  | An Experimental Survey of Metal Artefact Reduction in Computed Tomography , In Journal of X-Ray Science and Technology, IOS Press, Volume 21, No. 2, pp. 193-226, 2013.Keywords: metal artefact reduction, MAR comparision, CT imaging, CT security screening, baggage, medical. |
| [breckon13patent] |  | Image Processing (Real-time Visual Saliency by Division of Gaussians) , Patent, Assignee: Cranfield University, UK IPO, No. GB1115600.7, 2013. (WIPO: WO2013034878A2, Filed: 2011-09-09, Published: 2013-03-14) |
| [mouton13denoising] |  | An Evaluation of CT Image Denoising Techniques Applied to Baggage Imagery Screening , In Proc. Int. Conf. on Industrial Technology, IEEE, pp. 1063-1068, 2013.Keywords: CT imagery, image denoising, quantative evaulation. |
| [turcsany13xray] |  | Improving Feature-based Object Recognition for X-ray Baggage Security Screening using Primed Visual Words , In Proc. Int. Conf. on Industrial Technology, IEEE, pp. 1140-1145, 2013.Keywords: x-ray, security screening, object recognition. |
| [mioulet13road] |  | Gabor Features for Real-Time Road Environment Classification , In Proc. Int. Conf. on Industrial Technology, IEEE, pp. 1117-1121, 2013.Keywords: random forests, Gabor filters, histograms, road environment, scene classification. |
| [magnabosco13slam] |  | Cross-Spectral Visual Simultaneous Localization And Mapping (SLAM) with Sensor Handover , In Robotics and Autonomous Systems, Volume 63, No. 2, pp. 195-208, 2013.Keywords: cross-spectral SLAM, sensor handover, self-localisation and mapping, thermal imagery, multi-modal SLAM, optical thermal SLAM. |
| [solomonbreckon13fundamentos] |  | Fundamentos de Processamento Digital de Imagens - Uma Abordagem Pratica com Exemplos em Matlab , LTC (Brazil), 2013. (Portuguese translation of Solomon/Breckon, 2010: J.R. Souza) |
2012 | ||
| [breckon12multimodal] |  | Consistency in Muti-modal Automated Target Detection using Temporally Filtered Reporting , In Proc. SPIE Electro-Optical Remote Sensing, Photonic Technologies, and Applications VI, Volume 8542, No. 85420L-1, pp. 23:1-23:12, 2012.Keywords: thermal people detection, infrared, multimodal detection, temporal filtering, temporal detection strategy. |
| [megherbi12tip] |  | Fully Automatic 3D Threat Image Projection: Application to Densely Cluttered 3D Computed Tomography Baggage Images , In Proc. Int. Conf. on Image Processing Theory, Tools and Applications, IEEE, pp. 153-159, 2012.Keywords: 3D baggage, 3D baggage classification, CT baggage scanning, threat detection in baggage, TIP, threat image projection. |
| [pinggera12crossspectral] |  | On Cross-Spectral Stereo Matching using Dense Gradient Features , In Proc. British Machine Vision Conference, BMVA, pp. 526.1-526.12, 2012.Keywords: stereo vision, thermal, multimodal stereo, thermal stereo, IR stereo, optical thermal stereo. |
| [mouton12mar] |  | A Novel Intensity Limiting Approach to Metal Artefact Reduction in 3D CT Baggage Imagery , In Proc. Int. Conf. on Image Processing, IEEE, pp. 2057-2060, 2012.Keywords: CT imagery, image denoising, mar. |
| [megherbi12baggage] |  | A Comparison of Classification Approaches for Threat Detection in CT based Baggage Screening , In Proc. Int. Conf. on Image Processing, IEEE, pp. 3109-3112, 2012.Keywords: automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage. |
| [breckon12completion] |  | A Hierarchical Extension to 3D Non-parametric Surface Relief Completion , In Pattern Recognition, Elsevier, Volume 45, pp. 172-185, 2012.Keywords: relief completion, amodal completion, volume completion, visual completion, perceptual completion, surface completion. |
| [carey12histology] |  | Correlating Histology and Spectroscopy to Differentiate Pathologies of the Colon , In Proc. Conference on Medical Image Understanding and Analysis, pp. 243-248, 2012.Keywords: automated microscopy. |
| [flitton12cortex] |  | A 3D Extension to Cortex Like Mechanisms for 3D Object Class Recognition , In Proc. Computer Vision and Pattern Recognition, IEEE, pp. 3634-3641, 2012.Keywords: hmax, automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage. |
| [mroz12stereo] |  | An Empirical Comparison of Real-time Dense Stereo Approaches for use in the Automotive Environment , In EURASIP Journal on Image and Video Processing, Springer, Volume 2012, No. 13, pp. 1-19, 2012.Keywords: stereo vision, dense correspondance, semi-global matching, automotive stereo, vehicle-based stereo vision, survey, review. |
| [kheyrollahi12marking] |  | Automatic Real-time Road Marking Recognition Using a Feature Driven Approach , In Machine Vision and Applications, Springer, Volume 23, No. 1, pp. 123-133, 2012.Keywords: road marking recognition, vanishing point detection, intelligent vehicles. |
| [han12cell] |  | The Application of Support Vector Machine Classification to Detect Cell Nuclei for Automated Microscopy , In Machine Vision and Applications, Springer, Volume 23, No. 1, pp. 15-24, 2012.Keywords: cell nuclei detection, automated microscopy, support vector machines. |
2011 | ||
| [heras11driving] |  | Video Re-sampling and Content Re-targeting for Realistic Driving Incident Simulation , In Proc. 8th European Conference on Visual Media Production, IET, pp. sp-2, 2011.Keywords: Motion Frame Rate Up-Converters (MFRUC), frame interpolation, object segmentation, feature tracking. |
| [bordes11ar] |  | Adaptive Object Placement for Augmented Reality Use in Driver Assistance Systems , In Proc. 8th European Conference on Visual Media Production, IET, pp. sp-1, 2011.Keywords: augmented reality, road segmentation, driver assistance systems. |
| [katramados11salient] |  | Real-time Visual Saliency by Division of Gaussians , In Proc. Int. Conf. on Image Processing, IEEE, pp. 1741-1744, 2011.Keywords: salient, saliency, DoG. |
| [chenebert11fire] |  | A Non-temporal Texture Driven Approach to Real-time Fire Detection , In Proc. Int. Conf. on Image Processing, IEEE, pp. 1781-1784, 2011.Keywords: fire detection, texture, real-time, non-temporal. |
| [tang11classification] |  | Automatic Road Environment Classification , In IEEE Transactions on Intelligent Transportation Systems, IEEE, Volume 12, No. 2, pp. 476-484, 2011.Keywords: road type classification, colour texture classification, automotive vision, terrain classification. |
| [breszcz11uavmosaic] |  | Real-time Mosaicing from Unconstrained Video Imagery for UAV Applications , In Proc. 26th Int. Conf. on Unmanned Air Vehicle Systems, pp. 32.1-32.8, 2011.Keywords: mosaic, mosaicking, mosiacing, real-time, visualization, UAV, in-flight. |
| [breckon11vr] |  | Realizing Perceptive Virtual Reality Imaging Applications on Conventional PC Hardware , In Imaging Science Journal, Maney, Volume 59, No. 1, pp. 1-7, 2011.Keywords: virtual reality, projective image display, 3D anaglyph stereo, low cost. |
| [gaszczak11uavpeople] |  | Real-time People and Vehicle Detection from UAV Imagery , In Proc. SPIE Conference Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, Volume 7878, No. 78780B, 2011.Keywords: UAV image analysis, people detection, aerial image analysis, infrared, thermal. |
2010 | ||
| [megherbi10baggage] |  | A Classifier based Approach for the Detection of Potential Threats in CT based Baggage Screening , In Proc. Int. Conf. on Image Processing, IEEE, pp. 1833-1836, 2010.Keywords: automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage.. |
| [flitton10baggage] |  | Object Recognition using 3D SIFT in Complex CT Volumes , In Proc. British Machine Vision Conference, BMVA, pp. 11.1-12, 2010.Keywords: automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggage, 3D SIFT. |
| [kowaliszyn10correction] |  | Automatic Road Feature Detection and Correlation for the Correction of Consumer Satellite Navigation System Mapping , In Proc. IET/ITS Conf. on Road Transport Information and Control, IET, pp. 2-9, 2010.Keywords: automotive vision, mapping. |
| [sokalski10uavsalient] |  | Automatic Salient Object Detection in UAV Imagery , In Proc. 25th Int. Conf. on Unmanned Air Vehicle Systems, pp. 11.1-11.12, 2010.Keywords: salient objects, image saliency, salient object search, UAV. |
| [solomonbreckon10fundamentals] |  | Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab , Wiley-Blackwell, 2010. (ISBN-13: 978-0470844731) |
| [landini10morphological] |  | Morphologic Characterization of Cell Neighborhoods in Neoplastic and Preneoplastic Epithelium , In Int. Journal of Analytical and Quantitative Cytology and Histology, Volume 32, No. 1, pp. 30-38, 2010. |
2009 | ||
| [golebiowski09volume] |  | Volumetric Representation for Interactive Video Editing , In Proc. 6th European Conference on Visual Media Production, IET, pp. 13, 2009.Keywords: video visualization, opacity, volume rendering, video volume. |
| [breckon09uavvehicles] |  | Autonomous Real-time Vehicle Detection from a Medium-Level UAV , In Proc. 24th Int. Conf. on Unmanned Air Vehicle Systems, pp. 29.1-29.9, 2009.Keywords: vehicle detection, UAV image analysis. |
| [wahren09uavgc] |  | Development of a Two-Tier Unmanned Air System for the MoD Grand Challenge , In Proc. 24th Int. Conf. on Unmanned Air Vehicle Systems, pp. 13.1 - 13.9, 2009.Keywords: threat detection, sniper detection, MoD grand challenge, vehicle detection, thermal person detection, UAV aerial image classification, thermal image processing, path detection, robot guidance, terrain classification, road following. |
| [katramados09travsurface] |  | Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis , In Proc. Int. Conf. on Computer Vision Systems, Springer, Volume 5815, pp. 265–274, 2009.Keywords: path detection, robot guidance, Traversable pathway, terrain classification, road following, robotic navigation. |
2008 | ||
| [breckon08completion] |  | 3D Surface Relief Completion Via Non-parametric Techniques , In IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE, Volume 30, No. 12, pp. 2249 - 2255, 2008.Keywords: 3D relief completion, amodal completion, volume completion, visual completion, perceptual completion, visual propagation, 3D surface completion. |
| [rzeznik08gesture] |  | Gesture Recognition using a Laser Pointer , In Proc. 5th European Conference on Visual Media Production, IET, pp. SP-1, 2008.Keywords: gesture recognition. |
| [desile08meshdetail] |  | 3D Colour Mesh Detail Enhancement Driven from 2D Texture Edge Information , In Proc. 5th European Conference on Visual Media Production, IET, pp. SP-4, 2008.Keywords: geometric texture synthesis, texture transfer, 3D texture, surface relief, 3D mesh, surface texture, bump mapping by example, displacement mapping, displacement synthesis. |
| [han08cell] |  | Radicular Cysts and Odontogenic Keratocysts Epithelia Classification using Cascaded Haar Classifiers , In Proc. 12th Annual Conference on Medical Image Understanding and Analysis, pp. 54-58, 2008.Keywords: automated microscopy, cell detection, cell counting. |
| [eichner08speedlimit_a] |  | Integrated Speed Limit Detection and Recognition from Real-Time Video , In Proc. IEEE Intelligent Vehicles Symposium, IEEE, pp. 626-631, 2008.Keywords: automotive vision, real-time sign detection, speed limit detection, RANSAC. |
| [eichner08speedlimit_b] |  | Augmenting GPS Speed Limit Monitoring with Road Side Visual Information , In Proc. IET/ITS Conf. on Road Transport Information and Control, IET, pp. 1-5, 2008.Keywords: automotive vision, real-time sign detection, speed limit detection, RANSAC. |
2007 | ||
| [zirnhelt07artwork] |  | Artwork Image Retrieval using Weighted Colour and Texture Similarity , In Proc. 4th European Conference on Visual Media Production, IET, pp. II-8, 2007.Keywords: art, colour features, texture features, GLCM. |
| [eichner07headlights] |  | Real-Time Video Analysis for Vehicle Lights Detection using Temporal Information , In Proc. 4th European Conference on Visual Media Production, IET, pp. I-9, 2007.Keywords: automotive vision, headlight detection, light tracking. |
| [li07motion] |  | Combining Motion Segmentation and Feature Based Tracking for Object Classification and Anomaly Detection , In Proc. 4th European Conference on Visual Media Production, IET, pp. I-6, 2007.Keywords: visual surveillance, optical flow, person tracking, pedestrian tracking. |
| [flitton07volume] |  | Considering Video as a Volume , In Proc. 4th European Conference on Visual Media Production, IET, pp. II-7, 2007.Keywords: volumetric video, 3D video, space-time video, spatio-temporal video. |
| [breckon07measurement] |  | 3D Measurement for Asset and Environment Authentication and Analysis , In Proc. 4th Int. Conf. on Condition Monitoring, British Institute of Non-Destructive Testing, pp. 1-10, 2007. |
2006 | ||
| [breckon06transfer] |  | Direct Geometric Texture Synthesis and Transfer on 3D Meshes , In Proc. 3rd European Conference on Visual Media Production, IET, pp. 186, 2006.Keywords: geometric texture synthesis, texture transfer, 3D texture, surface relief, 3D mesh, surface texture, bump mapping by example, displacement mapping, displacement synthesis. |
| [breckon06completion] |  | Completing Unknown Portions of 3D Scenes via 3D Visual Propogation , PhD thesis, School of Informatics, University of Edinburgh, 2006. (Edinburgh Research Archive Entry: 1842/1244) |
2005 | ||
| [breckon05colour] |  | Plausible 3D Colour Surface Completion using Non-parametric Techniques , In Proc. Mathematics of Surfaces XI, Springer-Verlag, Volume 3604, No. , pp. 102-120, 2005.Keywords: 3D colour completion, 3D colour synthesis, texture synthesis on surfaces, colour relief synthesis, displacement synthesis, context-based completion. |
| [breckon05amodal] |  | Amodal Volume Completion: 3D Visual Completion , In Computer Vision and Image Understanding, Elsevier, Volume 99, No. 3, pp. 499-526, 2005.Keywords: amodal completion, volume completion, visual completion, perceptual completion, visual propagation. |
| [breckon05nonparametric] |  | Non-parametric 3D Surface Completion , In Proc. Fifth Int. Conf. on 3D Digital Imaging and Modeling, IEEE, pp. 573-580, 2005.Keywords: visual completion, model completion, contextual completion, 3D completion, context-based completion, range data, 3D mesh, occlusion resolution, displacement mapping, 3D texture synthesis, geometric texture synthesis, 3D relief synthesis, surface completion. |
| [breckon05realistic] |  | A Non-parametric Approach to Realistic Surface Completion in 3D Environments , In Proc. Postgraduate Research Conference in Electronics, Photonics, Communications and Networks, and Computing Science, EPSRC, pp. 122, 2005. |
2004 | ||
| [breckon04authentication] |  | Environment Authentication through 3D Structural Analysis , In Proc. Int. Conf. on Image Analysis and Recognition, Springer-Verlag, Volume 3211, pp. 680-687, 2004.Keywords: 3D reasoning, range data, shape fitting. |
My Erdos number is 4.
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