default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBrian C. Lovell
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]