B. Lovell

Brian C. Lovell, Peter J. Kootsookos, Robert C. Williamson, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Feature Space Hausdorff Distance for Face Recognition

Brian C. Lovell, Shaokang Chen, B. Lovell, 2010, 2010 20th International Conference on Pattern Recognition.

Face Recognition Robust to Head Pose from One Sample Image

Brian C. Lovell, Shaokang Chen, Ting Shan, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Towards a Maximum Entropy Method for Estimating HMM Parameters

Brian C. Lovell, Peter J. Kootsookos, Christian Walder, 2003 .

Machine learning applications in computer vision

Mehrtash Harandi, Brian C. Lovell, Javid Taheri, 2012 .

Ensemble Learning for Object Recognition and Tracking

Mehrtash Harandi, Brian C. Lovell, Javid Taheri, 2011 .

Investigating the southern daytime midlatitude trough's relation with the daytime Weddell Sea Anomaly during equinoxes

B. Lovell, I. Horvath, 2010 .

Polar Cap Energy Deposition Events During the 5–6 August 2011 Magnetic Storm

B. Lovell, I. Horvath, 2018 .

Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology

Brian C. Lovell, Sarah Alhammad, Peter Hobson, 2021, 2021 Digital Image Computing: Techniques and Applications (DICTA).

Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis

Alessia Saggese, Mario Vento, Mehrtash Harandi, 2016, Pattern Recognition Letters.

Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset

Mario Vento, Brian C. Lovell, Gennaro Percannella, 2015, Artif. Intell. Medicine.

Classifying Anti-nuclear Antibodies HEp-2 Images: A Benchmarking Platform

Mario Vento, Brian C. Lovell, Gennaro Percannella, 2014, 2014 22nd International Conference on Pattern Recognition.

Portable VXL system for computing structure from motion

Brian C. Lovell, Kurt Kubik, David McKinnon, 2002 .

Classifying and tracking multiple persons for proactive surveillance of mass transport systems

Brian C. Lovell, Conrad Sanderson, Suyu Kong, 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.

SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification

B. Lovell, Peter Hobson, Kun Zhao, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Hierarchical uncorrelated multiview discriminant locality preserving projection for multiview facial expression recognition

Sunil Kumar, Yuji Iwahori, Brian C. Lovell, 2018, J. Vis. Commun. Image Represent..

Robust Adapted Principal Component Analysis for Face Recognition

Brian C. Lovell, Shaokang Chen, Ting Shan, 2009, Int. J. Pattern Recognit. Artif. Intell..

Gaussian Probabilistic Confidence Score for Biometric Applications

Farhad Dadgostar, Brian C. Lovell, Sandra Mau, 2012, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA).

Time-Frequency Analysis And Pattern Recognition Using Singular Value Decomposition Of The Wigner-Ville Distribution

Boualem Boashash, Brian C. Lovell, Langford B. White, 1988, Optics & Photonics.

Fisher tensors for classifying human epithelial cells

Brian C. Lovell, Arnold Wiliem, Mehrtash Tafazzoli Harandi, 2014, Pattern Recognit..

The relationship between instantaneous frequency and time-frequency representations

Boualem Boashash, Brian C. Lovell, Robert C. Williamson, 1993, IEEE Trans. Signal Process..

A PDA based artificial human vision simulator

Wageeh Boles, Brian C. Lovell, Jason A. Dowling, 2005 .

An Optimization Approach to Scanning Skin Direct Immunofluorescence Specimens

Brian C. Lovell, Arnold Wiliem, Sarah Barksdale, 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Real-time face recognition using eigenfaces

Brian C. Lovell, Raphael Cendrillon, B. Lovell, 2000, Visual Communications and Image Processing.

MedViTGAN: End-to-End Conditional GAN for Histopathology Image Augmentation with Vision Transformers

B. Lovell, Peter Hobson, Meng Li, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Storm-enhanced plasma density (SED) features, auroral and polar plasma enhancements, and rising topside bubbles of the 31 March 2001 superstorm

B. Lovell, I. Horvath, 2011 .

Storm‐enhanced plasma density features investigated during the Bastille Day Superstorm

B. Lovell, I. Horvath, 2010 .

High‐Latitude Neutral Density Structures Investigated by Utilizing Multi‐Instrument Satellite Data and NRLMSISE‐00 Simulations

B. Lovell, I. Horvath, 2018 .

Distinctive plasma density features of the topside ionosphere and their electrodynamics investigated during southern winter

B. Lovell, I. Horvath, 2009 .

Abnormal Sub‐Auroral Ion Drifts (ASAID) Developed in Various Inner‐Magnetosphere Configurations at Geomagnetically Quiet Times

B. Lovell, I. Horvath, 2023, Journal of Geophysical Research: Space Physics.

Sub‐Auroral Flows and Associated Magnetospheric and Ionospheric Phenomena Developed During 7–8 September 2017

B. Lovell, I. Horvath, 2023, Journal of Geophysical Research: Space Physics.

Ion temperature intensification in southern convection flow channels during the 1 October 2001 geomagnetic storm recovery phase

B. Lovell, I. Horvath, 2016 .

Newly Formed Dawnside, Duskside, and Nightside Subauroral Flows Developed During Magnetically Active Times

B. Lovell, I. Horvath, 2022, Journal of Geophysical Research: Space Physics.

Polar Ion Temperature Variations During the 22 January 2012 Magnetic Storm

B. Lovell, I. Horvath, 2018, Journal of Geophysical Research: Space Physics.

Investigating the development of double‐peak subauroral ion drift (DSAID)

B. Lovell, I. Horvath, 2017 .

Face Recognition on Consumer Devices: Reflections on Replay Attacks

Brian C. Lovell, Arnold Wiliem, Daniel F. Smith, 2015, IEEE Transactions on Information Forensics and Security.

Invited paper: Embedded face and biometric technologies for national and border security

Brian C. Lovell, Abbas Bigdeli, Sandra Mau, 2011, CVPR 2011 WORKSHOPS.

Pedestrian Tracking Based on Colour and Spatial Information

Brian C. Lovell, Florian H. Seitner, B. Lovell, 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks

Brian C. Lovell, Arnold Wiliem, Teng Zhang, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration

Brian C. Lovell, Conrad Sanderson, Vikas Reddy, 2013, IEEE Transactions on Circuits and Systems for Video Technology.

A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts

Brian C. Lovell, Conrad Sanderson, Vikas Reddy, 2013, EURASIP J. Image Video Process..

MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2010, ACCV.

Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling

Brian C. Lovell, Conrad Sanderson, Vikas Reddy, 2010, 2010 20th International Conference on Pattern Recognition.

SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation pdf

Brian C. Lovell, Kun Zhao, Meng Li, 2020, Comput. Vis. Image Underst..

Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN

B. Lovell, Can Peng, Kun Zhao, 2020, Pattern Recognit. Lett..

The Multiscale Classifier

Brian C. Lovell, Andrew P. Bradley, B. Lovell, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

Video surveillance: past, present, and now the future [DSP Forum]

Sharath Pankanti, Bernhard Rinner, Anthony Hoogs, 2013, IEEE Signal Processing Magazine.

Evaluation of HMM training algorithms for letter hand gesture recognition

Nianjun Liu, B.C. Lovell, P.J. Kootsookos, 2003, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795).

Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference

Brian C. Lovell, Conrad Sanderson, C. Sanderson, 2009, ICB.

TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition

Brian C. Lovell, Arnold Wiliem, Teng Zhang, 2017, 2018 International Conference on Biometrics (ICB).

Role of Spatiotemporal Oriented Energy Features for Robust Visual Tracking in Video Surveillance

Farhad Dadgostar, Brian C. Lovell, Ali Emami, 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.

Directional Space-Time Oriented Gradients for 3D Visual Pattern Analysis

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Adam Postula, 2012, ECCV.

Shadow detection: A survey and comparative evaluation of recent methods pdf

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2012, Pattern Recognit..

Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2010, 2010 20th International Conference on Pattern Recognition.

CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels

Lin Wu, Brian C. Lovell, Arnold Wiliem, 2019, MICCAI.

Robust image corner detection based on scale evolution difference of planar curves

Ling Xu, Brian C. Lovell, Xiaohong Zhang, 2009, Pattern Recognit. Lett..

What is the best way for extracting meaningful attributes from pictures?

Brian C. Lovell, Arnold Wiliem, Liangchen Liu, 2016, Pattern Recognit..

Unsupervised automatic attribute discovery method via multi-graph clustering

Feiping Nie, Brian C. Lovell, Arnold Wiliem, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Is alice chasing or being chased?: Determining subject and object of activities in videos

Brian C. Lovell, Arnold Wiliem, Teng Zhang, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories

Brian C. Lovell, Arnold Wiliem, Liangchen Liu, 2014, 2014 22nd International Conference on Pattern Recognition.

Corner detection based on gradient correlation matrices of planar curves

Ling Xu, Brian C. Lovell, Xiaohong Zhang, 2010, Pattern Recognit..

On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches

Yongkang Wong, Brian C. Lovell, Conrad Sanderson, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

HEp-2 staining pattern recognition at cell and specimen levels: Datasets, algorithms and results

Alessia Saggese, Mario Vento, Brian C. Lovell, 2016, Pattern Recognit. Lett..

Duskside Sub‐Auroral Polarization Streams (SAPS) and Dawnside Subauroral Flows During the Magnetically Quiet 24 November and Moderately Active 25–27 November 2008

B. Lovell, I. Horvath, 2022, Journal of Geophysical Research: Space Physics.

Sub‐Auroral Ion Drifts (SAID) Developed Over the Northern Winter Hemisphere at Dawn During 2016–2017

B. Lovell, I. Horvath, 2023, Journal of Geophysical Research: Space Physics.

Automatic Handwritten Signature Verification System for Australian Passports

Brian C. Lovell, Kurt Kubik, Vamsi K. Madasu, 2005 .

The statistical performance of some instantaneous frequency estimators

B.C. Lovell, R. C. Williamson, R.C. Williamson, 1992, IEEE Trans. Signal Process..

A unified approach to the STFT, TFDs, and instantaneous frequency

Boualem Boashash, Brian C. Lovell, Peter J. Kootsookos, 1992, IEEE Trans. Signal Process..

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2012, ECCV.

Face Recognition with APCA in Variant Illuminations

Brian C. Lovell, Shaokang Chen, S. Sun, 2002 .

Tensor Algebra: A Combinatorial Approach to the Projective Geometry of Figures

Brian C. Lovell, David N. R. McKinnon, B. Lovell, 2004, IWCIA.

Experimental Analysis of Face Recognition on Still and CCTV Images

Brian C. Lovell, Conrad Sanderson, Erik Berglund, 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.

Combining Classifiers in Rotated Face Space

Brian C. Lovell, Shaokang Chen, Ting Shan, 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).

Towards robust face recognition for Intelligent-CCTV based surveillance using one gallery image

Brian C. Lovell, Conrad Sanderson, Shaokang Chen, 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.

Combining Generative and Discriminative Learning for Face Recognition

Brian C. Lovell, Shaokang Chen, Ting Shan, 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

Robust Face Recognition for Data Mining

Brian C. Lovell, Shaokang Chen, Ting Shan, 2009, Encyclopedia of Data Warehousing and Mining.

Real-Time Face Detection and Classification for ICCTV

Brian C. Lovell, Shaokang Chen, Ting Shan, 2009, Encyclopedia of Data Warehousing and Mining.

Robust Face Recognition Technique for a Real-Time Embedded Face Recognition System

Brian C. Lovell, Abbas Bigdeli, Shaokang Chen, 2008 .

On intelligent surveillance systems and face recognition for mass transport security

Brian C. Lovell, Conrad Sanderson, Erik Berglund, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

Person Location Service on the Planetary Sensor Network

Brian C. Lovell, Shaokang Chen, Ting Shan, 2005 .

Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification

Yongkang Wong, Brian C. Lovell, Conrad Sanderson, 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.

A face biometric benchmarking review and characterisation

Farhad Dadgostar, Brian C. Lovell, Abbas Bigdeli, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Towards Pose-Invariant 2D Face Classification for Surveillance

Brian C. Lovell, Conrad Sanderson, Ting Shan, 2007, AMFG.

Classification of Human Epithelial type 2 cell indirect immunofluoresence images via codebook based descriptors

Yongkang Wong, Brian C. Lovell, Arnold Wiliem, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures

Brian C. Lovell, Arnold Wiliem, Conrad Sanderson, 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).

DIODE: Dilatable Incremental Object Detection pdf

Brian C. Lovell, Can Peng, Sam Maksoud, 2021, Pattern Recognit..

Discovering discriminative cell attributes for HEp-2 specimen image classification

Brian C. Lovell, Arnold Wiliem, Peter Hobson, 2014, IEEE Winter Conference on Applications of Computer Vision.

Normalised Equi-Angular Recognition Technique of Human Ear Signatures for Use in Biometrics Applications

Brian C. Lovell, Ghassan A. Al-Kindi, B. Lovell, 2012 .

Intelligent CCTV for Mass Transport Security: Challenges and Opportunities for Video and Face Processing

Brian C. Lovell, Conrad Sanderson, Erik Berglund, 2007, Progress in Computer Vision and Image Analysis.

Deep Corrosion Assessment for Electrical Transmission Towers

Brian C. Lovell, Arnold Wiliem, Teng Zhang, 2019, 2019 Digital Image Computing: Techniques and Applications (DICTA).

DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence

Brian C. Lovell, Arnold Wiliem, Teng Zhang, 2018, 2018 Digital Image Computing: Techniques and Applications (DICTA).

EBIT: Weakly-supervised image translation with edge and boundary enhancement

Brian C. Lovell, Teng Zhang, Tianren Wang, 2020, Pattern Recognit. Lett..

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors pdf

Brian C. Lovell, Conrad Sanderson, Chris McCool, 2016, PAKDD Workshops.

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, 2013 IEEE International Conference on Computer Vision.

Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition

Yongkang Wong, Brian C. Lovell, Conrad Sanderson, 2011, CVPR 2011 WORKSHOPS.

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2014, International Journal of Computer Vision.

Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation pdf

Lin Wu, Brian C. Lovell, Arnold Wiliem, 2020, ACCV.

Scalable Bayesian Deep Learning with Kernel Seed Networks pdf

Brian C. Lovell, Can Peng, Sam Maksoud, 2021, ArXiv.

Unsupervised cell nucleus segmentation with active contours

Brian C. Lovell, Pascal Bamford, B. Lovell, 1998, Signal Process..

An Automatic Off-Line Signature Verification and Forgery Detection System

Brian C. Lovell, Vamsi K. Madasu, B. Lovell, 2008 .

Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels

Junzhou Huang, Brian C. Lovell, Jun Zhang, 2021, AAAI.

Hidden Markov models for spatio-temporal pattern recognition

Brian C. Lovell, Terry Caelli, T. Caelli, 2005 .

Gesture Classification Using Hidden Markov Models and Viterbi Path Counting

Nianjun Liu, Brian C. Lovell, B. Lovell, 2003, DICTA.

MMX-Accelerated Real-Time Hand Tracking System

Nianjun Liu, Brian C. Lovell, B. Lovell, 2001 .

Domain Adaptation on the Statistical Manifold

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture

Brian C. Lovell, Conrad Sanderson, Vikas Reddy, 2011, CVPR 2011 WORKSHOPS.

Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery

Feiping Nie, Brian C. Lovell, Arnold Wiliem, 2018, IEEE Transactions on Image Processing.

Bayesian analysis of cell nucleus segmentation by a Viterbi search based active contour

Brian C. Lovell, Pascal Bamford, B. Lovell, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

A wireless mesh sensor network for hazard and safety monitoring at the Port of Brisbane

Brian C. Lovell, Mahsa Baktash, Abbas Bigdeli, 2012, 37th Annual IEEE Conference on Local Computer Networks.

Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions

Brian C. Lovell, Arnold Wiliem, Conrad Sanderson, 2016, PAKDD Workshops.

Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching pdf

Yongkang Wong, Brian C. Lovell, Arnold Wiliem, 2014, bioRxiv.

Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios

C. Sanderson, B. Lovell, A. Sanin, 2010, 2010 20th International Conference on Pattern Recognition.

Efficient clustering on Riemannian manifolds: A kernelised random projection approach

Brian C. Lovell, Arnold Wiliem, Kun Zhao, 2015, Pattern Recognit..

Faces \`a la Carte: Text-to-Face Generation via Attribute Disentanglement pdf

Teng Zhang, Brian Lovell, Tianren Wang, 2020, 2006.07606.

Classification in scale-space: Applications to texture analysis

Brian C. Lovell, Andrew P. Bradley, Paul Jackway, 1995 .

International Contest on Pattern Recognition techniques for indirect immunofluorescence images analysis

Alessia Saggese, Mario Vento, Brian C. Lovell, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Object tracking on FPGA-based smart cameras using local oriented energy and phase features

Brian C. Lovell, Adam Postula, Abbas Bigdeli, 2010, ICDSC '10.

Robust object tracking using local oriented energy features and its hardware/software implementation

Brian C. Lovell, Adam Postula, Abbas Bigdeli, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Towards Miss Universe automatic prediction: The evening gown competition

Brian C. Lovell, Arnold Wiliem, Conrad Sanderson, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

An Abandoned Object Detection System Based on Dual Background Segmentation

Brian C. Lovell, Madasu Hanmandlu, Abhinav Kumar Singh, 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.

Exploring Inter-Instance Relationships within the Query Set for Robust Image Set Matching

Zhiming Zhang, Brian C. Lovell, Deyin Liu, 2019, Sensors.

Convex Class Model on Symmetric Positive Definite Manifolds

Brian C. Lovell, Arnold Wiliem, Kun Zhao, 2018, Image Vis. Comput..

Automatic and quantitative evaluation of attribute discovery methods

Brian C. Lovell, Arnold Wiliem, Liangchen Liu, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Determining the best attributes for surveillance video keywords generation

Brian C. Lovell, Arnold Wiliem, Kun Zhao, 2016, 2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA).

Matching image sets via adaptive multi convex hull

Brian C. Lovell, Arnold Wiliem, Conrad Sanderson, 2014, IEEE Winter Conference on Applications of Computer Vision.

Non-Linear Stationary Subspace Analysis with Application to Video Classification

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, ICML.

Ensemble of furthest subspace pairs for enhanced image set matching

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2011, 2011 18th IEEE International Conference on Image Processing.

Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2011, CVPR 2011.

Manifold convex hull (MACH): Satisfying a need for SPD

Brian C. Lovell, Arnold Wiliem, Kun Zhao, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Fuzzy Co-Clustering of medical images using bacterial foraging

M. Hanmandlu, S. Susan, B. Lovell, 2008, 2008 23rd International Conference Image and Vision Computing New Zealand.

Deep Learning in Person Re-identification for Cyber-Physical Surveillance Systems

Lin Wu, Yang Wang, Brian C. Lovell, 2019, Deep Learning Applications for Cyber Security.

Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition

Brian C. Lovell, Arnold Wiliem, Kun Zhao, 2015, IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2015).

Computer Aided Diagnosis for Anti-Nuclear Antibodies HEp-2 images: Progress and challenges

Alessia Saggese, Mario Vento, Brian C. Lovell, 2016, Pattern Recognit. Lett..

Deep Instance-Level Hard Negative Mining Model for Histopathology Images

Lin Wu, Meng Li, Brian C. Lovell, 2019, MICCAI.

Autonomous Direct 3D Segmentation of Articular Knee Cartilage

Brian C. Lovell, Ben Appleton, Enrico Hinrichs, 2003 .

Progress in the robust automated segmentation of real cell images

Brian C. Lovell, Paul Jackway, Pascal Bamford, 1999, Smart Materials, Nano-, and Micro- Smart Systems.

Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Support Vector Machines for Business Applications

Brian C. Lovell, Christian Walder, B. Lovell, 2006 .

Knowing the Unknown: Open-set Bacteria Classification in Gram Stain Microscopic Images

B. Lovell, Sarah Alhammad, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Efficient Cell Labelling for Gram Stain WSIs

B. Lovell, Peter Hobson, Kun Zhao, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

K-tangent spaces on Riemannian manifolds for improved pedestrian detection

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2014, 2012 19th IEEE International Conference on Image Processing.

Clustering on Grassmann manifolds via kernel embedding with application to action analysis

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2012, 2012 19th IEEE International Conference on Image Processing.

Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset

B. Lovell, M. Vento, A. Wiliem, 2015, Artif. Intell. Medicine.

Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference

B. Lovell, Sandra Mau, Yongkang Wong, 2010, 2010 20th International Conference on Pattern Recognition.

Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients pdf

Brian C. Lovell, Conrad Sanderson, Chris McCool, 2014, MLSDA'14.

Antisunward Streaming Westward Sub‐Auroral Ion Drifts (SAID) Developed in the Postmidnight (1–4) Magnetic Local Time Sector During 2013

B. Lovell, I. Horvath, 2023, Journal of Geophysical Research: Space Physics.

Model structure selection & training algorithms for an HMM gesture recognition system

Nianjun Liu, Brian C. Lovell, Richard I. A. Davis, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Comparing and evaluating HMM ensemble training algorithms using train and test and condition number criteria

Brian C. Lovell, Richard I. A. Davis, B. Lovell, 2003, Formal Pattern Analysis & Applications.

Hidden Markov Models for Spatio-Temporal Pattern Recognition and Image Segmentation

Brian C. Lovell, B. Lovell, 2003 .

Bezier and splines in image processing and machine vision

Brian C. Lovell, Sambhunath Biswas, B. Lovell, 2007 .

Visual tracking for sports applications

Brian C. Lovell, Andrew W. B. Smith, B. Lovell, 2005 .

B-Splines and Its Applications

Brian C. Lovell, Sambhunath Biswas, B. Lovell, 2008 .

Arrhythmia detection in human electrocardiogram

Brian C. Lovell, Madasu Hanmandlu, Vamsi K. Madasu, 2005 .

Arrhythmia Detection in Human Electrocardiogram GVS Chiranjivi

B. Lovell, M. Hanmandlu, 2022 .

Improved estimation of hidden Markov model parameters from multiple observation sequences

Brian C. Lovell, Terry Caelli, Richard I. A. Davis, 2002, Object recognition supported by user interaction for service robots.