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Brian C. Lovell
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2020 – today
- 2024
- [j49]Kaiyu Guo, Brian C. Lovell:
Domain-aware triplet loss in domain generalization. Comput. Vis. Image Underst. 243: 103979 (2024) - 2023
- [j48]Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell:
DIODE: Dilatable Incremental Object Detection. Pattern Recognit. 136: 109244 (2023) - [c150]Chaoyi Li, Brian C. Lovell:
Uncertainty-Guided Cross-Modality Semi-Supervised Learning for MRI Segmentation. DICTA 2023: 65-72 - [c149]Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell:
End to End Generative Meta Curriculum Learning for Medical Data Augmentation. ICIP 2023: 2155-2159 - [c148]Sarah Alhammad, Brian C. Lovell:
Knowing the Unknown: Open-set Bacteria Classification in Gram Stain Microscopic Images. IJCNN 2023: 1-8 - [c147]Chaoyi Li, Meng Li, Can Peng, Brian C. Lovell:
Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification. MICCAI (5) 2023: 747-757 - [i51]Kaiyu Guo, Brian C. Lovell:
Domain-aware Triplet loss in Domain Generalization. CoRR abs/2303.01233 (2023) - [i50]Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam:
Multivariate Prototype Representation for Domain-Generalized Incremental Learning. CoRR abs/2309.13563 (2023) - 2022
- [c146]Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell:
Few-Shot Class-Incremental Learning from an Open-Set Perspective. ECCV (25) 2022: 382-397 - [c145]Sarah Alhammad, Teng Zhang, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell:
Efficient Cell Labelling for Gram Stain WSIs. ICPR 2022: 4226-4233 - [c144]Meng Li, Chaoyi Li, Peter Hobson, Tony Jennings, Brian C. Lovell:
MedViTGAN: End-to-End Conditional GAN for Histopathology Image Augmentation with Vision Transformers. ICPR 2022: 4406-4413 - [i49]Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell:
Few-Shot Class-Incremental Learning from an Open-Set Perspective. CoRR abs/2208.00147 (2022) - [i48]Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell:
Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation. CoRR abs/2212.09977 (2022) - [i47]Meng Li, Brian C. Lovell:
End to End Generative Meta Curriculum Learning For Medical Data Augmentation. CoRR abs/2212.10086 (2022) - 2021
- [j47]Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell:
SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation. Comput. Vis. Image Underst. 210: 103229 (2021) - [c143]Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han:
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. AAAI 2021: 697-705 - [c142]Sarah Alhammad, Kun Zhao, Anthony Jennings, Peter Hobson, Daniel F. Smith, Brett Baker, Justin Staweno, Brian C. Lovell:
Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology. DICTA 2021: 1-8 - [c141]Meng Li, Kun Zhao, Can Peng, Peter Hobson, Tony Jennings, Brian C. Lovell:
Deep Adaptive Few Example Learning for Microscopy Image Cell Counting. DICTA 2021: 1-7 - [c140]Tianren Wang, Teng Zhang, Brian C. Lovell:
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement. WACV 2021: 3379-3387 - [i46]Sam Maksoud, Kun Zhao, Can Peng, Brian C. Lovell:
Scalable Bayesian Deep Learning with Kernel Seed Networks. CoRR abs/2104.09005 (2021) - [i45]Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell:
DIODE: Dilatable Incremental Object Detection. CoRR abs/2108.05627 (2021) - [i44]Tianren Wang, Can Peng, Teng Zhang, Brian C. Lovell:
FaceCook: Face Generation Based on Linear Scaling Factors. CoRR abs/2109.03492 (2021) - 2020
- [j46]Teng Zhang, Liangchen Liu, Kun Zhao, Arnold Wiliem, Graham Hemson, Brian C. Lovell:
Omni-supervised joint detection and pose estimation for wild animals. Pattern Recognit. Lett. 132: 84-90 (2020) - [j45]Tianren Wang, Teng Zhang, Brian C. Lovell:
EBIT: Weakly-supervised image translation with edge and boundary enhancement. Pattern Recognit. Lett. 138: 534-539 (2020) - [j44]Can Peng, Kun Zhao, Brian C. Lovell:
Faster ILOD: Incremental learning for object detectors based on faster RCNN. Pattern Recognit. Lett. 140: 109-115 (2020) - [c139]Siqi Yang, Lin Wu, Arnold Wiliem, Brian C. Lovell:
Unsupervised Domain Adaptive Object Detection Using Forward-Backward Cyclic Adaptation. ACCV (3) 2020: 124-142 - [c138]Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell:
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. CVPR 2020: 3861-3870 - [c137]Kohei Kurihara, Tianren Wang, Teng Zhang, Brian C. Lovell:
Boundary guided image translation for pose estimation from ultra-low resolution thermal sensor. ICPR 2020: 9-15 - [i43]Siqi Yang, Lin Wu, Arnold Wiliem, Brian C. Lovell:
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation. CoRR abs/2002.00575 (2020) - [i42]Can Peng, Kun Zhao, Brian C. Lovell:
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN. CoRR abs/2003.03901 (2020) - [i41]Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell:
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. CoRR abs/2003.05080 (2020) - [i40]Tianren Wang, Teng Zhang, Brian C. Lovell:
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement. CoRR abs/2006.07606 (2020) - [i39]Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell:
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation. CoRR abs/2012.15439 (2020)
2010 – 2019
- 2019
- [j43]Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Convex class model on symmetric positive definite manifolds. Image Vis. Comput. 87: 57-67 (2019) - [j42]Larry Davis, Alberto Del Bimbo, Brian C. Lovell:
Award winning papers from the 23rd International Conference on Pattern Recognition (ICPR). Pattern Recognit. Lett. 124: 1 (2019) - [j41]Deyin Liu, Chengwu Liang, Zhiming Zhang, Lin Qi, Brian C. Lovell:
Exploring Inter-Instance Relationships within the Query Set for Robust Image Set Matching. Sensors 19(22): 5051 (2019) - [c136]Sam Maksoud, Arnold Wiliem, Brian C. Lovell:
Recurrent Attention Networks for Medical Concept Prediction. CLEF (Working Notes) 2019 - [c135]Gemma Dianne, Arnold Wiliem, Brian C. Lovell:
Deep-Learning from Mistakes: Automating Cloud Class Refinement for Sky Image Segmentation. DICTA 2019: 1-8 - [c134]Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell:
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? DICTA 2019: 1-8 - [c133]Teng Zhang, Liangchen Liu, Arnold Wiliem, Stephen Connor, Zelkjo Ilich, Eddie Van Der Draai, Brian C. Lovell:
Deep Corrosion Assessment for Electrical Transmission Towers. DICTA 2019: 1-6 - [c132]Tianren Wang, Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell:
Cannygan: Edge-Preserving Image Translation with Disentangled Features. ICIP 2019: 514-518 - [c131]Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell:
Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks. ICIP 2019: 4170-4174 - [c130]Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell:
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels. MICCAI (1) 2019: 432-441 - [c129]Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell:
Deep Instance-Level Hard Negative Mining Model for Histopathology Images. MICCAI (1) 2019: 514-522 - [i38]Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao, Brian C. Lovell:
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification. CoRR abs/1903.12395 (2019) - [i37]Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell:
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels. CoRR abs/1906.09676 (2019) - [i36]Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell:
Deep Instance-Level Hard Negative Mining Model for Histopathology Images. CoRR abs/1906.09681 (2019) - [i35]Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell:
Deep inspection: an electrical distribution pole parts study via deep neural networks. CoRR abs/1907.06844 (2019) - [i34]Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell:
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? CoRR abs/1909.09945 (2019) - 2018
- [j40]Sunil Kumar, Manas Kamal Bhuyan, Brian C. Lovell, Yuji Iwahori:
Hierarchical uncorrelated multiview discriminant locality preserving projection for multiview facial expression recognition. J. Vis. Commun. Image Represent. 54: 171-181 (2018) - [j39]Changxing Ding, Kaiqi Huang, Vishal M. Patel, Brian C. Lovell:
Special issue on Video Surveillance-oriented Biometrics. Pattern Recognit. Lett. 107: 1-2 (2018) - [j38]Liangchen Liu, Feiping Nie, Arnold Wiliem, Zhihui Li, Teng Zhang, Brian C. Lovell:
Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery. IEEE Trans. Image Process. 27(9): 4345-4356 (2018) - [c128]Siqi Yang, Arnold Wiliem, Brian C. Lovell:
It Takes Two to Tango: Cascading Off-the-Shelf Face Detectors. CVPR Workshops 2018: 535-543 - [c127]Wai Y. K. San, Teng Zhang, Shaokang Chen, Arnold Wiliem, Dario Stefanelli, Brian C. Lovell:
Early Experience of Depth Estimation on Intricate Objects using Generative Adversarial Networks. DICTA 2018: 1-8 - [c126]Teng Zhang, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell:
Training Region Selector for Gram Stained Slides with Limited Data: A Data Distillation Approach. DICTA 2018: 1-6 - [c125]Kun Zhao, Yu Ji Jerry Tang, Teng Zhang, Johanna Carvajal, Daniel F. Smith, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell:
DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence. DICTA 2018: 1-7 - [c124]Siqi Yang, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks. ECCV (15) 2018: 664-681 - [c123]Teng Zhang, Arnold Wiliem, Siqi Yang, Brian C. Lovell:
TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition. ICB 2018: 174-181 - [c122]Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell:
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks. ICPR 2018: 2314-2319 - [i33]Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell:
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks. CoRR abs/1803.07240 (2018) - [i32]Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Convex Class Model on Symmetric Positive Definite Manifolds. CoRR abs/1806.05343 (2018) - 2017
- [j37]Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
What is the best way for extracting meaningful attributes from pictures? Pattern Recognit. 64: 314-326 (2017) - [j36]Ran He, Brian C. Lovell, Rama Chellappa, Anil K. Jain, Zhenan Sun:
Editorial: Special issue on ubiquitous biometrics. Pattern Recognit. 66: 1-3 (2017) - [c121]Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Paul Finucane, Peter Hobson, Anthony Jennings, Rodney McDougall, Brian C. Lovell:
An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images. CVPR Workshops 2017: 814-820 - [i31]Teng Zhang, Arnold Wiliem, Siqi Yang, Brian C. Lovell:
TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition. CoRR abs/1712.02514 (2017) - [i30]Siqi Yang, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks. CoRR abs/1712.08263 (2017) - 2016
- [j35]Cheng-Lin Liu, Brian C. Lovell, Dacheng Tao, Massimo Tistarelli:
Pattern Recognition, Part 1 [Guest editors' introduction]. IEEE Intell. Syst. 31(2): 6-8 (2016) - [j34]Cheng-Lin Liu, Brian C. Lovell, Dacheng Tao, Massimo Tistarelli:
Pattern Recognition, Part 2. IEEE Intell. Syst. 31(3): 3-5 (2016) - [j33]Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell:
Efficient clustering on Riemannian manifolds: A kernelised random projection approach. Pattern Recognit. 51: 333-345 (2016) - [j32]Arnold Wiliem, Raviteja Vemulapalli, Brian C. Lovell:
Explicit discriminative representation for improved classification of manifold features. Pattern Recognit. Lett. 80: 121-128 (2016) - [j31]Mehrtash Harandi, Brian C. Lovell, Gennaro Percannella, Alessia Saggese, Mario Vento, Arnold Wiliem:
Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis. Pattern Recognit. Lett. 82: 1-2 (2016) - [j30]Peter Hobson, Brian C. Lovell, Gennaro Percannella, Alessia Saggese, Mario Vento, Arnold Wiliem:
Computer Aided Diagnosis for Anti-Nuclear Antibodies HEp-2 images: Progress and challenges. Pattern Recognit. Lett. 82: 3-11 (2016) - [j29]Peter Hobson, Brian C. Lovell, Gennaro Percannella, Alessia Saggese, Mario Vento, Arnold Wiliem:
HEp-2 staining pattern recognition at cell and specimen levels: Datasets, algorithms and results. Pattern Recognit. Lett. 82: 12-22 (2016) - [j28]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson:
Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1294-1306 (2016) - [c120]Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Manifold convex hull (MACH): Satisfying a need for SPD. ICIP 2016: 251-255 - [c119]Brian C. Lovell, Gennaro Percannella, Alessia Saggese, Mario Vento, Arnold Wiliem:
International Contest on Pattern Recognition techniques for indirect immunofluorescence images analysis. ICPR 2016: 74-76 - [c118]Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell:
Towards Miss Universe automatic prediction: The evening gown competition. ICPR 2016: 1089-1094 - [c117]Kun Zhao, Siqi Yang, Arnold Wiliem, Brian C. Lovell:
Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition. ICPR 2016: 1095-1100 - [c116]Liangchen Liu, Feiping Nie, Teng Zhang, Arnold Wiliem, Brian C. Lovell:
Unsupervised automatic attribute discovery method via multi-graph clustering. ICPR 2016: 1713-1718 - [c115]Siqi Yang, Arnold Wiliem, Brian C. Lovell:
The GIST of aligning faces. ICPR 2016: 3007-3012 - [c114]Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell:
Determining the best attributes for surveillance video keywords generation. ISBA 2016: 1-7 - [c113]Wai Y. K. San, Shaokang Chen, Arnold Wiliem, Binn Di, Brian C. Lovell:
How do you develop a face detector for the unconstrained environment? IVCNZ 2016: 1-6 - [c112]Siqi Yang, Arnold Wiliem, Brian C. Lovell:
To face or not to face: Towards reducing false positive of face detection. IVCNZ 2016: 1-6 - [c111]Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. PAKDD Workshops 2016: 88-100 - [c110]Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. PAKDD Workshops 2016: 115-127 - [c109]Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Automatic and quantitative evaluation of attribute discovery methods. WACV 2016: 1-9 - [c108]Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell:
Is alice chasing or being chased?: Determining subject and object of activities in videos. WACV 2016: 1-7 - [i29]Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. CoRR abs/1602.01599 (2016) - [i28]Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. CoRR abs/1602.01601 (2016) - [i27]Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Automatic and Quantitative evaluation of attribute discovery methods. CoRR abs/1602.01940 (2016) - [i26]Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell:
Determining the best attributes for surveillance video keywords generation. CoRR abs/1602.06539 (2016) - [i25]Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell:
Towards Miss Universe Automatic Prediction: The Evening Gown Competition. CoRR abs/1604.07547 (2016) - [i24]Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
What is the Best Way for Extracting Meaningful Attributes from Pictures? CoRR abs/1610.04957 (2016) - 2015
- [j27]Peter Hobson, Brian C. Lovell, Gennaro Percannella, Mario Vento, Arnold Wiliem:
Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset. Artif. Intell. Medicine 65(3): 239-250 (2015) - [j26]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. Int. J. Comput. Vis. 114(2-3): 113-136 (2015) - [j25]Ali Emami, Mehrtash Tafazzoli Harandi, Farhad Dadgostar, Brian C. Lovell:
Novelty detection in human tracking based on spatiotemporal oriented energies. Pattern Recognit. 48(3): 812-826 (2015) - [j24]Daniel F. Smith, Arnold Wiliem, Brian C. Lovell:
Face Recognition on Consumer Devices: Reflections on Replay Attacks. IEEE Trans. Inf. Forensics Secur. 10(4): 736-745 (2015) - [j23]Manas Kamal Bhuyan, Karl F. MacDorman, Mithun Kumar Kar, Debanga Raj Neog, Brian C. Lovell, Prathik Gadde:
Hand pose recognition from monocular images by geometrical and texture analysis. J. Vis. Lang. Comput. 28: 39-55 (2015) - [c107]Anastasia Miros, Arnold Wiliem, Kim Holohan, Lauren Ball, Peter Hobson, Brian C. Lovell:
A Benchmarking Platform for Mitotic Cell Classification of ANA IIF HEp-2 Images. DICTA 2015: 1-6 - [c106]Asser Samak, Arnold Wiliem, Peter Hobson, Michael Walsh, Ted Ditchmen, Arne Troskie, Sarah Barksdale, Rhonda Edwards, Anthony Jennings, Brian C. Lovell:
An Optimization Approach to Scanning Skin Direct Immunofluorescence Specimens. DICTA 2015: 1-8 - [c105]Matthew Crossman, Arnold Wiliem, Paul Finucane, Anthony Jennings, Brian C. Lovell:
A multiple covariance approach for cell detection of Gram-stained smears images. ICASSP 2015: 932-936 - [c104]Teng Zhang, Arnold Wiliem, Graham Hemson, Brian C. Lovell:
Detecting kangaroos in the wild: the first step towards automated animal surveillance. ICASSP 2015: 1961-1965 - [c103]Daniel F. Smith, Arnold Wiliem, Brian C. Lovell:
Binary watermarks: a practical method to address face recognition replay attacks on consumer mobile devices. ISBA 2015: 1-6 - [c102]Kun Zhao, Arnold Wiliem, Brian C. Lovell:
Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition. ISBA 2015: 1-6 - [i23]Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell:
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. CoRR abs/1502.01782 (2015) - [i22]Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell:
Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach. CoRR abs/1509.05536 (2015) - 2014
- [j22]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Discriminative Non-Linear Stationary Subspace Analysis for Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2353-2366 (2014) - [j21]Arnold Wiliem, Conrad Sanderson, Yongkang Wong, Peter Hobson, Rodney F. Minchin, Brian C. Lovell:
Automatic classification of Human Epithelial type 2 cell Indirect Immunofluorescence images using Cell Pyramid Matching. Pattern Recognit. 47(7): 2315-2324 (2014) - [j20]Yan Yang, Arnold Wiliem, Azadeh Alavi, Brian C. Lovell, Peter Hobson:
Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns. Pattern Recognit. 47(7): 2325-2337 (2014) - [j19]Masoud Faraki, Mehrtash Tafazzoli Harandi, Arnold Wiliem, Brian C. Lovell:
Fisher tensors for classifying human epithelial cells. Pattern Recognit. 47(7): 2348-2359 (2014) - [c101]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Domain Adaptation on the Statistical Manifold. CVPR 2014: 2481-2488 - [c100]Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories. ICPR 2014: 2619-2624 - [c99]Peter Hobson, Brian C. Lovell, Gennaro Percannella, Mario Vento, Arnold Wiliem:
Classifying Anti-nuclear Antibodies HEp-2 Images: A Benchmarking Platform. ICPR 2014: 3233-3238 - [c98]Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell:
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. MLSDA@PRICAI 2014: 19 - [c97]Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson:
Random projections on manifolds of Symmetric Positive Definite matrices for image classification. WACV 2014: 301-308 - [c96]Arnold Wiliem, Peter Hobson, Brian C. Lovell:
Discovering discriminative cell attributes for HEp-2 specimen image classification. WACV 2014: 423-430 - [c95]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson:
Object tracking via non-Euclidean geometry: A Grassmann approach. WACV 2014: 901-908 - [c94]Shaokang Chen, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell:
Matching image sets via adaptive multi convex hull. WACV 2014: 1074-1081 - [i21]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. CoRR abs/1401.8126 (2014) - [i20]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson:
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach. CoRR abs/1403.0309 (2014) - [i19]Shaokang Chen, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell:
Matching Image Sets via Adaptive Multi Convex Hull. CoRR abs/1403.0320 (2014) - [i18]Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson:
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification. CoRR abs/1403.0700 (2014) - [i17]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection. CoRR abs/1403.1056 (2014) - [i16]Arnold Wiliem, Conrad Sanderson, Yongkang Wong, Peter Hobson, Rodney F. Minchin, Brian C. Lovell:
Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching. CoRR abs/1403.3780 (2014) - [i15]Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell:
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos. CoRR abs/1406.5095 (2014) - [i14]Arnold Wiliem, Peter Hobson, Brian C. Lovell:
Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification. CoRR abs/1407.7330 (2014) - [i13]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson:
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences. CoRR abs/1409.0083 (2014) - 2013
- [j18]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Sareh Abolahrari Shirazi, Brian C. Lovell:
Kernel analysis on Grassmann manifolds for action recognition. Pattern Recognit. Lett. 34(15): 1906-1915 (2013) - [j17]Fatih Porikli, François Brémond, Shiloh L. Dockstader, James M. Ferryman, Anthony Hoogs, Brian C. Lovell, Sharath Pankanti, Bernhard Rinner, Peter H. Tu, Péter L. Venetianer:
Video Surveillance: Past, Present, and Now the Future [DSP Forum]. IEEE Signal Process. Mag. 30(3): 190-198 (2013) - [j16]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration. IEEE Trans. Circuits Syst. Video Technol. 23(1): 83-93 (2013) - [c93]Shaokang Chen, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces. CVPR 2013: 452-459 - [c92]Teng Zhang, Arnold Wiliem, Brian C. Lovell:
Region-Based Anomaly Localisation in Crowded Scenes via Trajectory Analysis and Path Prediction. DICTA 2013: 1-7 - [c91]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Unsupervised Domain Adaptation by Domain Invariant Projection. ICCV 2013: 769-776 - [c90]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell:
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. ICCV 2013: 3120-3127 - [c89]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell, Mathieu Salzmann:
Non-Linear Stationary Subspace Analysis with Application to Video Classification. ICML (3) 2013: 450-458 - [c88]Arnold Wiliem, Yongkang Wong, Conrad Sanderson, Peter Hobson, Shaokang Chen, Brian C. Lovell:
Classification of Human Epithelial type 2 cell indirect immunofluoresence images via codebook based descriptors. WACV 2013: 95-102 - [c87]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Spatio-temporal covariance descriptors for action and gesture recognition. WACV 2013: 103-110 - [i12]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts. CoRR abs/1303.2465 (2013) - [i11]Conrad Sanderson, Mehrtash Tafazzoli Harandi, Yongkang Wong, Brian C. Lovell:
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification. CoRR abs/1303.2783 (2013) - [i10]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Improved Foreground Detection via Block-based Classifier Cascade with Probabilistic Decision Integration. CoRR abs/1303.4160 (2013) - [i9]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition. CoRR abs/1303.6021 (2013) - [i8]Sandra Mau, Shaokang Chen, Conrad Sanderson, Brian C. Lovell:
Video Face Matching using Subset Selection and Clustering of Probabilistic Multi-Region Histograms. CoRR abs/1303.6361 (2013) - [i7]Yongkang Wong, Shaokang Chen, Sandra Mau, Conrad Sanderson, Brian C. Lovell:
Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition. CoRR abs/1304.0869 (2013) - [i6]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture. CoRR abs/1304.0886 (2013) - [i5]Andres Sanin, Conrad Sanderson, Brian C. Lovell:
Shadow Detection: A Survey and Comparative Evaluation of Recent Methods. CoRR abs/1304.1233 (2013) - [i4]Arnold Wiliem, Yongkang Wong, Conrad Sanderson, Peter Hobson, Shaokang Chen, Brian C. Lovell:
Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors. CoRR abs/1304.1262 (2013) - [i3]Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian C. Lovell:
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference. CoRR abs/1304.2133 (2013) - [i2]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Richard I. Hartley, Brian C. Lovell:
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. CoRR abs/1304.4344 (2013) - [i1]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell:
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. CoRR abs/1310.4891 (2013) - 2012
- [j15]Andres Sanin, Conrad Sanderson, Brian C. Lovell:
Shadow detection: A survey and comparative evaluation of recent methods. Pattern Recognit. 45(4): 1684-1695 (2012) - [j14]Denis Laurendeau, Brian C. Lovell:
Special Issue on Awards Papers from ICPR 2010. Pattern Recognit. Lett. 33(7): 807 (2012) - [c86]Conrad Sanderson, Mehrtash Tafazzoli Harandi, Yongkang Wong, Brian C. Lovell:
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification. AVSS 2012: 294-299 - [c85]Ali Emami, Farhad Dadgostar, Abbas Bigdeli, Brian C. Lovell:
Role of Spatiotemporal Oriented Energy Features for Robust Visual Tracking in Video Surveillance. AVSS 2012: 349-354 - [c84]Sandra Mau, Farhad Dadgostar, Brian C. Lovell:
Gaussian Probabilistic Confidence Score for Biometric Applications. DICTA 2012: 1-6 - [c83]Yan Yang, Farhad Dadgostar, Sandra Mau, Brian C. Lovell:
Improved Person Re-Identification Using Statistical Approximation. DICTA 2012: 1-6 - [c82]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Richard I. Hartley, Brian C. Lovell:
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. ECCV (2) 2012: 216-229 - [c81]Ehsan Norouznezhad, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Mahsa Baktash, Adam Postula, Brian C. Lovell:
Directional Space-Time Oriented Gradients for 3D Visual Pattern Analysis. ECCV (3) 2012: 736-749 - [c80]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
K-tangent spaces on Riemannian manifolds for improved pedestrian detection. ICIP 2012: 473-476 - [c79]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Azadeh Alavi, Brian C. Lovell:
Clustering on Grassmann manifolds via kernel embedding with application to action analysis. ICIP 2012: 781-784 - [c78]Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Brian C. Lovell:
On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches. IJCNN 2012: 1-8 - [c77]Amin Ahmadi, Abbas Bigdeli, Mahsa Baktashmotlagh, Brian C. Lovell:
A wireless mesh sensor network for hazard and safety monitoring at the Port of Brisbane. LCN 2012: 180-183 - [c76]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Arnold Wiliem, Brian C. Lovell:
Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures. WACV 2012: 433-439 - 2011
- [j13]Shaokang Chen, Sandra Mau, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Abbas Bigdeli, Brian C. Lovell:
Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework. EURASIP J. Image Video Process. 2011 (2011) - [j12]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts. EURASIP J. Image Video Process. 2011 (2011) - [c75]Mahsa Baktashmotlagh, Abbas Bigdeli, Brian C. Lovell:
Dynamic resource aware sensor networks: Integration of sensor cloud and ERPs. AVSS 2011: 455-460 - [c74]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture. CVPR Workshops 2011: 55-61 - [c73]Yongkang Wong, Shaokang Chen, Sandra Mau, Conrad Sanderson, Brian C. Lovell:
Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition. CVPR Workshops 2011: 74-81 - [c72]Brian C. Lovell, Abbas Bigdeli, Sandra Mau:
Invited paper: Embedded face and biometric technologies for national and border security. CVPR Workshops 2011: 117-122 - [c71]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Sareh Abolahrari Shirazi, Brian C. Lovell:
Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching. CVPR 2011: 2705-2712 - [c70]Arnold Wiliem, Peter Hobson, Rodney F. Minchin, Brian C. Lovell:
An Automatic Image Based Single Dilution Method for End Point Titre Quantitation of Antinuclear Antibodies Tests Using HEp-2 Cells. DICTA 2011: 1-6 - [c69]Sandra Mau, Farhad Dadgostar, Ian Cullinan, Abbas Bigdeli, Brian C. Lovell:
A face biometric benchmarking review and characterisation. ICCV Workshops 2011: 2120-2127 - [c68]Yan Yang, Farhad Dadgostar, Conrad Sanderson, Brian C. Lovell:
Summarisation of surveillance videos by key-frame selection. ICDSC 2011: 1-6 - [c67]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Abbas Bigdeli, Brian C. Lovell:
Ensemble of furthest subspace pairs for enhanced image set matching. ICIP 2011: 821-824 - 2010
- [j11]Xiaohong Zhang, Hongxing Wang, Andrew W. B. Smith, Ling Xu, Brian C. Lovell, Dan Yang:
Corner detection based on gradient correlation matrices of planar curves. Pattern Recognit. 43(4): 1207-1223 (2010) - [j10]Robert P. W. Duin, Denis Laurendeau, Brian C. Lovell:
Award winning papers from the 19th International Conference on Pattern Recognition (ICPR). Pattern Recognit. Lett. 31(8): 649 (2010) - [c66]Sareh Abolahrari Shirazi, Farhad Dadgostar, Brian C. Lovell:
An Appearance-Based Approach to Assistive Identity Inference Using LBP and Colour Histograms. ACCV Workshops (1) 2010: 236-245 - [c65]Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell:
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos. ACCV (3) 2010: 547-559 - [c64]Amelia W. Azman, Abbas Bigdeli, Yasir Mohd-Mustafah, Morteza Biglari-Abhari, Brian C. Lovell:
A Bayesian network-based framework with Constraint Satisfaction Problem (CSP) formulations for FPGA system design. ASAP 2010: 81-88 - [c63]Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell:
Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking. AVSS 2010: 172-179 - [c62]Ehsan Norouznezhad, Abbas Bigdeli, Adam Postula, Brian C. Lovell:
Robust object tracking using local oriented energy features and its hardware/software implementation. ICARCV 2010: 2060-2066 - [c61]Yasir Mohd-Mustafah, Abbas Bigdeli, Amelia W. Azman, Farhad Dadgostar, Brian C. Lovell:
Square Patch Feature: Faster weak-classifier for robust object detection. ICARCV 2010: 2073-2077 - [c60]Ehsan Norouznezhad, Abbas Bigdeli, Adam Postula, Brian C. Lovell:
Object tracking on FPGA-based smart cameras using local oriented energy and phase features. ICDSC 2010: 33-40 - [c59]Yasir Mohd-Mustafah, Abbas Bigdeli, Amelia W. Azman, Brian C. Lovell:
Square patch feature based face detection architecture for high resolution smart camera. ICDSC 2010: 175-181 - [c58]Farhad Dadgostar, Abbas Bigdeli, Sandra Mau, Terence Smith, Brian C. Lovell:
A framework for lab-based real-time video analysis on distributed camera networks. ICDSC 2010: 238-242 - [c57]Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell:
Image-set face recognition based on transductive learning. ICIP 2010: 2425-2428 - [c56]Andres Sanin, Conrad Sanderson, Brian C. Lovell:
Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios. ICPR 2010: 141-144 - [c55]Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian C. Lovell:
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference. ICPR 2010: 1200-1203 - [c54]Shaokang Chen, Brian C. Lovell:
Feature Space Hausdorff Distance for Face Recognition. ICPR 2010: 1465-1468 - [c53]Mehrtash Tafazzoli Harandi, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Abbas Bigdeli, Brian C. Lovell:
Directed Random Subspace Method for Face Recognition. ICPR 2010: 2688-2691 - [c52]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling. ICPR 2010: 3939-3942
2000 – 2009
- 2009
- [j9]Shaokang Chen, Brian C. Lovell, Ting Shan:
Robust Adapted Principal Component Analysis for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 23(3): 491-520 (2009) - [j8]Xiaohong Zhang, Hongxing Wang, Mingjian Hong, Ling Xu, Dan Yang, Brian C. Lovell:
Robust image corner detection based on scale evolution difference of planar curves. Pattern Recognit. Lett. 30(4): 449-455 (2009) - [c51]Abhinav Kumar Singh, S. Sawan, Madasu Hanmandlu, Vamsi Krishna Madasu, Brian C. Lovell:
An Abandoned Object Detection System Based on Dual Background Segmentation. AVSS 2009: 352-357 - [c50]Yongkang Wong, Conrad Sanderson, Brian C. Lovell:
Regression Based Non-frontal Face Synthesis for Improved Identity Verification. CAIP 2009: 116-124 - [c49]Vamsi Krishna Madasu, Brian C. Lovell:
Blotch Detection in Pigmented Skin Lesions Using Fuzzy Co-clustering and Texture Segmentation. DICTA 2009: 25-31 - [c48]Amelia W. Azman, Abbas Bigdeli, Morteza Biglari-Abhari, Yasir Mohd-Mustafah, Brian C. Lovell:
Exploiting Bayesian Belief Network for Adaptive IP-Reuse Decision. DICTA 2009: 66-73 - [c47]Yan Yang, Brian C. Lovell, Farhad Dadgostar:
Content-Based Video Retrieval (CBVR) System for CCTV Surveillance Videos. DICTA 2009: 183-187 - [c46]Amioy Kumar, Madasu Hanmandlu, Vamsi Krishna Madasu, Brian C. Lovell:
Biometric Authentication Based on Infrared Thermal Hand Vein Patterns. DICTA 2009: 331-338 - [c45]Andrew W. B. Smith, Brian C. Lovell:
Self Occlusions and Graph Based Edge Measurement Schemes for Visual Tracking Applications. DICTA 2009: 416-423 - [c44]Conrad Sanderson, Brian C. Lovell:
Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference. ICB 2009: 199-208 - [c43]Yasir Mohd-Mustafah, Abbas Bigdeli, Amelia W. Azman, Brian C. Lovell:
Face detection system design for real time high resolution smart camera. ICDSC 2009: 1-6 - [c42]Vikas Reddy, Conrad Sanderson, Brian C. Lovell, Abbas Bigdeli:
An efficient background estimation algorithm for embedded smart cameras. ICDSC 2009: 1-7 - [c41]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
An efficient and robust sequential algorithm for background estimation in video surveillance. ICIP 2009: 1109-1112 - [p1]Conrad Sanderson, Abbas Bigdeli, Ting Shan, Shaokang Chen, Erik Berglund, Brian C. Lovell:
Intelligent CCTV for Mass Transport Security: Challenges and Opportunities for Video and Face Processing. Progress in Computer Vision and Image Analysis 2009: 557- - [r2]Brian C. Lovell, Shaokang Chen, Ting Shan:
Real-Time Face Detection and Classification for ICCTV. Encyclopedia of Data Warehousing and Mining 2009: 1659-1666 - [r1]Brian C. Lovell, Shaokang Chen, Ting Shan:
Robust Face Recognition for Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1689-1695 - 2008
- [b2]Sambhunath Biswas, Brian C. Lovell:
Bezier and splines in image processing and machine vision. Springer 2008, ISBN 978-1-8462-8956-9, pp. I-XVII, 1-246 - [c40]Shaokang Chen, Erik Berglund, Abbas Bigdeli, Conrad Sanderson, Brian C. Lovell:
Experimental Analysis of Face Recognition on Still and CCTV Images. AVSS 2008: 317-324 - [c39]Brian C. Lovell, Shaokang Chen, Abbas Bigdeli, Erik Berglund, Conrad Sanderson:
On intelligent surveillance systems and face recognition for mass transport security. ICARCV 2008: 713-718 - [c38]Ehsan Norouznezhad, Abbas Bigdeli, Adam Postula, Brian C. Lovell:
A high resolution smart camera with GigE Vision extension for surveillance applications. ICDSC 2008: 1-8 - [c37]Shaokang Chen, Conrad Sanderson, Sai Sun, Brian C. Lovell:
Representative feature chain for single gallery image face recognition. ICPR 2008: 1-4 - [c36]Suyu Kong, Manas Kamal Bhuyan, Conrad Sanderson, Brian C. Lovell:
Tracking of persons for video surveillance of unattended environments. ICPR 2008: 1-4 - 2007
- [c35]Conrad Sanderson, Ting Shan, Brian C. Lovell:
Towards Pose-Invariant 2D Face Classification for Surveillance. AMFG 2007: 276-289 - [c34]Suyu Kong, Conrad Sanderson, Brian C. Lovell:
Classifying and tracking multiple persons for proactive surveillance of mass transport systems. AVSS 2007: 159-163 - [c33]Ting Shan, Shaokang Chen, Conrad Sanderson, Brian C. Lovell:
Towards robust face recognition for Intelligent-CCTV based surveillance using one gallery image. AVSS 2007: 470-475 - [c32]Shaokang Chen, Ting Shan, Brian C. Lovell:
Combining Classifiers in Rotated Face Space. DICTA 2007: 380-386 - [c31]Yasir Mohd-Mustafah, Ting Shan, Amelia W. Azman, Abbas Bigdeli, Brian C. Lovell:
Real-Time Face Detection and Tracking for High Resolution Smart Camera System. DICTA 2007: 387-393 - [c30]Manas Kamal Bhuyan, Brian C. Lovell, Abbas Bigdeli:
Tracking with Multiple Cameras for Video Surveillance. DICTA 2007: 592-599 - [c29]Amelia W. Azman, Abbas Bigdeli, Yasir Mohd-Mustafah, Brian C. Lovell:
Optimizing Resources of an FPGA-based Smart Camera Architecture. DICTA 2007: 600-606 - [c28]Yasir Mohd-Mustafah, Amelia W. Azman, Abbas Bigdeli, Brian C. Lovell:
An Automated Face Recognition System for Intelligence Surveillance: Smart Camera Recognizing Faces in the Crowd. ICDSC 2007: 147-152 - [c27]Abbas Bigdeli, Colin Sim, Morteza Biglari-Abhari, Brian C. Lovell:
Face Detection on Embedded Systems. ICESS 2007: 295-308 - 2006
- [c26]Ting Shan, Brian C. Lovell, Shaokang Chen:
Face Recognition Robust to Head Pose from One Sample Image. ICPR (1) 2006: 515-518 - [c25]Andrew W. B. Smith, Brian C. Lovell:
Measurement Function Design for Visual Tracking Applications. ICPR (1) 2006: 789-792 - 2005
- [j7]Martin Robinson, Kurt Kubik, Brian C. Lovell:
A First Order Predicate Logic Formulation Of The 3d Reconstruction Problem And Its Solution Space. Int. J. Pattern Recognit. Artif. Intell. 19(1): 45-62 (2005) - [c24]Shaokang Chen, Brian C. Lovell, Ting Shan:
Combining Generative and Discriminative Learning for Face Recognition. DICTA 2005: 5 - [c23]Florian H. Seitner, Brian C. Lovell:
Pedestrian Tracking Based on Colour and Spatial Information. DICTA 2005: 7 - [c22]Nianjun Liu, Brian C. Lovell:
Hand Gesture Extraction by Active Shape Models. DICTA 2005: 10 - [c21]Vamsi Krishna Madasu, Brian C. Lovell:
Automatic Segmentation and Recognition of Bank Cheque Fields. DICTA 2005: 33 - [c20]Simon Wilson, Brian C. Lovell, Anne Chang, Brent Masters:
Real-Time Quantitative Bronchoscopy. DICTA 2005: 51 - [c19]Christian J. Walder, Brian C. Lovell:
Homogenized Virtual Support Vector Machines. DICTA 2005: 57 - [c18]Brian C. Lovell:
Globally Optimal 3D Image Reconstruction and Segmentation Via Energy Minimisation Techniques. PReMI 2005: 128-136 - 2004
- [j6]Richard I. A. Davis, Brian C. Lovell:
Comparing and evaluating HMM ensemble training algorithms using train and test and condition number criteria. Pattern Anal. Appl. 6(4): 327-335 (2004) - [c17]Nianjun Liu, Brian C. Lovell, Peter J. Kootsookos, Richard I. A. Davis:
Model structure selection & training algorithms for an HMM gesture recognition system. IWFHR 2004: 100-105 - [c16]Carlos Leung, Ben Appleton, Brian C. Lovell, Changming Sun:
An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction. ICPR (4) 2004: 72-75 - [c15]Shaokang Chen, Brian C. Lovell:
Illumination and Expression Invariant Face Recognition with One Sample Image. ICPR (1) 2004: 300-303 - [c14]Franz Rottensteiner, John C. Trinder, Simon Clode, Kurt Kubik, Brian C. Lovell:
Building Detection by Dempster-Shafer Fusion of LIDAR Data and Multispectral Aerial Imagery. ICPR (2) 2004: 339-342 - [c13]Nianjun Liu, Richard I. A. Davis, Brian C. Lovell, Peter J. Kootsookos:
Effect of Initial HMM Choices in Multiple Sequence Training for Gesture Recognition. ITCC (1) 2004: 608-613 - [c12]David N. R. McKinnon, Brian C. Lovell:
Tensor Algebra: A Combinatorial Approach to the Projective Geometry of Figures. IWCIA 2004: 558-567 - 2003
- [c11]Nianjun Liu, Brian C. Lovell:
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting. DICTA 2003: 273-282 - [c10]David N. R. McKinnon, Brian C. Lovell:
Towards Closed Form Solutions to the MultiView Constraints of Curves and Surfaces. DICTA 2003: 519-528 - [c9]Christian J. Walder, Brian C. Lovell, Peter J. Kootsookos:
Algebraic Curve Fitting Support Vector Machines. DICTA 2003: 693-702 - 2002
- [c8]Richard I. A. Davis, Brian C. Lovell, Terry Caelli:
Improved Estimation of Hidden Markov Model Parameters from Multiple Observation Sequences. ICPR (2) 2002: 168-171 - 2000
- [c7]Daniel Heckenberg, Brian C. Lovell:
MIME: a gesture-driven computer interface. VCIP 2000: 261-268 - [c6]Raphael Cendrillon, Brian C. Lovell:
Real-time face recognition using eigenfaces. VCIP 2000: 269-276
1990 – 1999
- 1998
- [j5]Pascal Bamford, Brian C. Lovell:
Unsupervised cell nucleus segmentation with active contours. Signal Process. 71(2): 203-213 (1998) - [c5]Pascal Bamford, Brian C. Lovell:
Improving the Robustness of Cell Nucleus Segmentation. BMVC 1998: 1-7 - [c4]Pascal Bamford, Brian C. Lovell:
Bayesian analysis of cell nucleus segmentation by a Viterbi search based active contour. ICPR 1998: 133-135 - [e1]Anil K. Jain, Svetha Venkatesh, Brian C. Lovell:
Fourteenth International Conference on Pattern Recognition, ICPR 1998, Brisbane, Australia, 16-20 August, 1998. IEEE Computer Society 1998, ISBN 0-8186-8512-3 [contents] - 1996
- [j4]Brian C. Lovell, Andrew P. Bradley:
The Multiscale Classifier. IEEE Trans. Pattern Anal. Mach. Intell. 18(2): 124-137 (1996) - 1994
- [c3]Simon Lee, Brian C. Lovell:
Modelling and classification of shapes in two-dimensions using vector quantization. ICASSP (5) 1994: 141-144 - 1993
- [j3]Brian C. Lovell, Robert C. Williamson, Boualem Boashash:
The relationship between instantaneous frequency and time-frequency representations. IEEE Trans. Signal Process. 41(3): 1458-1461 (1993) - 1992
- [j2]Brian C. Lovell, Robert C. Williamson:
The statistical performance of some instantaneous frequency estimators. IEEE Trans. Signal Process. 40(7): 1708-1723 (1992) - [j1]Peter J. Kootsookos, Brian C. Lovell, Boualem Boashash:
A unified approach to the STFT, TFDs, and instantaneous frequency. IEEE Trans. Signal Process. 40(8): 1971-1982 (1992) - 1991
- [b1]Brian C. Lovell:
Techniques for non-stationary spectral analysis. University of Queensland, Australia, 1991 - [c2]Brian C. Lovell, Peter J. Kootsookos, Robert C. Williamson:
The circular nature of discrete-time frequency estimates. ICASSP 1991: 3369-3372
1980 – 1989
- 1988
- [c1]Brian C. Lovell, Boualem Boashash:
Segmentation of non-stationary signals with applications. ICASSP 1988: 2685-2688
Coauthor Index
aka: Mehrtash Tafazzoli Harandi
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