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2020 – today
- 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) - [c137]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 - [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]