Detecting Uncommon Trajectories. - Arnold Wiliem; Vamsi Krishna Madasu; Wageeh W. Boles; Prasad K. D. V. Yarlagadda (DICTA, 2008)

A Context-Based Approach for Detecting Suspicious Behaviours. - Arnold Wiliem; Vamsi Krishna Madasu; Wageeh W. Boles; Prasad K. D. V. Yarlagadda (DICTA, 2009)

Adaptive unsupervised learning of human actions. - Arnold Wiliem; Vamsi Krishna Madasu; Wageeh W. Boles; Prasad K. D. V. Yarlagadda (ICDP, 2009)

An Update-Describe Approach for Human Action Recognition in Surveillance Video. - Arnold Wiliem; Vamsi Krishna Madasu; Wageeh W. Boles; Prasad K. D. V. Yarlagadda (DICTA, 2010)

An Automatic Image Based Single Dilution Method for End Point Titre Quantitation of Antinuclear Antibodies Tests Using HEp-2 Cells. - Arnold Wiliem; Peter Hobson; Rodney F. Minchin; Brian C. Lovell (DICTA, 2011)

A Context Space Model for Detecting Anomalous Behaviour in Video Surveillance. - Arnold Wiliem; Vamsi Krishna Madasu; Wageeh W. Boles; Prasad K. D. V. Yarlagadda (ITNG, 2012)

Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Arnold Wiliem; Brian C. Lovell (WACV, 2012)

A suspicious behaviour detection using a context space model for smart surveillance systems. - Arnold Wiliem; Vamsi Krishna Madasu; Wageeh W. Boles; Prasad K. D. V. Yarlagadda (Comput. Vis. Image Underst., 2012)

Region-Based Anomaly Localisation in Crowded Scenes via Trajectory Analysis and Path Prediction. - Teng Zhang 004; Arnold Wiliem; Brian C. Lovell (DICTA, 2013)

Classification of human epithelial type 2 cell images using independent component analysis. - Yan Yang; Arnold Wiliem; Azadeh Alavi; Peter Hobson (ICIP, 2013)

Classification of Human Epithelial type 2 cell indirect immunofluoresence images via codebook based descriptors. - Arnold Wiliem; Yongkang Wong; Conrad Sanderson; Peter Hobson; Shaokang Chen; Brian C. Lovell (WACV, 2013)

Classifying Anti-nuclear Antibodies HEp-2 Images: A Benchmarking Platform. - Peter Hobson; Brian C. Lovell; Gennaro Percannella; Mario Vento; Arnold Wiliem (ICPR, 2014)

Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories. - Liangchen Liu; Arnold Wiliem; Shaokang Chen; Brian C. Lovell (ICPR, 2014)

Random projections on manifolds of Symmetric Positive Definite matrices for image classification. - Azadeh Alavi; Arnold Wiliem; Kun Zhao 001; Brian C. Lovell; Conrad Sanderson (WACV, 2014)

Matching image sets via adaptive multi convex hull. - Shaokang Chen; Arnold Wiliem; Conrad Sanderson; Brian C. Lovell (WACV, 2014)

Discovering discriminative cell attributes for HEp-2 specimen image classification. - Arnold Wiliem; Peter Hobson; Brian C. Lovell (WACV, 2014)

Fisher tensors for classifying human epithelial cells. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Arnold Wiliem; Brian C. Lovell (Pattern Recognit., 2014)

Automatic classification of Human Epithelial type 2 cell Indirect Immunofluorescence images using Cell Pyramid Matching. - Arnold Wiliem; Conrad Sanderson; Yongkang Wong; Peter Hobson; Rodney F. Minchin; Brian C. Lovell (Pattern Recognit., 2014)

Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns. - Yan Yang; Arnold Wiliem; Azadeh Alavi; Brian C. Lovell; Peter Hobson (Pattern Recognit., 2014)

A Benchmarking Platform for Mitotic Cell Classification of ANA IIF HEp-2 Images. - Anastasia Miros; Arnold Wiliem; Kim Holohan; Lauren Ball; Peter Hobson; Brian C. Lovell (DICTA, 2015)

An Optimization Approach to Scanning Skin Direct Immunofluorescence Specimens. - Asser Samak; Arnold Wiliem; Peter Hobson; Michael Walsh; Ted Ditchmen; Arne Troskie; Sarah Barksdale; Rhonda Edwards; Anthony Jennings; Brian C. Lovell (DICTA, 2015)

A multiple covariance approach for cell detection of Gram-stained smears images. - Matthew Crossman; Arnold Wiliem; Paul Finucane; Anthony Jennings; Brian C. Lovell (ICASSP, 2015)

Detecting kangaroos in the wild: the first step towards automated animal surveillance. - Teng Zhang 004; Arnold Wiliem; Graham Hemson; Brian C. Lovell (ICASSP, 2015)

Binary watermarks: a practical method to address face recognition replay attacks on consumer mobile devices. - Daniel F. Smith; Arnold Wiliem; Brian C. Lovell (ISBA, 2015)

Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition. - Kun Zhao 001; Arnold Wiliem; Brian C. Lovell (ISBA, 2015)

Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset. - Peter Hobson; Brian C. Lovell; Gennaro Percannella; Mario Vento; Arnold Wiliem (Artif. Intell. Medicine, 2015)

Face Recognition on Consumer Devices: Reflections on Replay Attacks. - Daniel F. Smith; Arnold Wiliem; Brian C. Lovell (IEEE Trans. Inf. Forensics Secur., 2015)

Manifold convex hull (MACH): Satisfying a need for SPD. - Kun Zhao 001; Arnold Wiliem; Shaokang Chen; Brian C. Lovell (ICIP, 2016)

Towards Miss Universe automatic prediction: The evening gown competition. - Johanna Carvajal; Arnold Wiliem; Conrad Sanderson; Brian C. Lovell (ICPR, 2016)

Unsupervised automatic attribute discovery method via multi-graph clustering. - Liangchen Liu; Feiping Nie 001; Teng Zhang 004; Arnold Wiliem; Brian C. Lovell (ICPR, 2016)

International Contest on Pattern Recognition techniques for indirect immunofluorescence images analysis. - Brian C. Lovell; Gennaro Percannella; Alessia Saggese; Mario Vento; Arnold Wiliem (ICPR, 2016)

The GIST of aligning faces. - Siqi Yang 001; Arnold Wiliem; Brian C. Lovell (ICPR, 2016)

Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition. - Kun Zhao 001; Siqi Yang 001; Arnold Wiliem; Brian C. Lovell (ICPR, 2016)

Determining the best attributes for surveillance video keywords generation. - Liangchen Liu; Arnold Wiliem; Shaokang Chen; Kun Zhao 001; Brian C. Lovell (ISBA, 2016)

How do you develop a face detector for the unconstrained environment? - Wai Y. K. San; Shaokang Chen; Arnold Wiliem; Binn Di; Brian C. Lovell (IVCNZ, 2016)

To face or not to face: Towards reducing false positive of face detection. - Siqi Yang 001; Arnold Wiliem; Brian C. Lovell (IVCNZ, 2016)

Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. - Johanna Carvajal; Arnold Wiliem; Chris McCool; Brian C. Lovell; Conrad Sanderson (PAKDD Workshops, 2016)

Automatic and quantitative evaluation of attribute discovery methods. - Liangchen Liu; Arnold Wiliem; Shaokang Chen; Brian C. Lovell (WACV, 2016)

Is alice chasing or being chased?: Determining subject and object of activities in videos. - Teng Zhang 004; Liangchen Liu; Arnold Wiliem; Brian C. Lovell (WACV, 2016)

Efficient clustering on Riemannian manifolds: A kernelised random projection approach. - Kun Zhao 001; Azadeh Alavi; Arnold Wiliem; Brian C. Lovell (Pattern Recognit., 2016)

Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis. - Mehrtash Harandi; Brian C. Lovell; Gennaro Percannella; Alessia Saggese; Mario Vento; Arnold Wiliem (Pattern Recognit. Lett., 2016)

Computer Aided Diagnosis for Anti-Nuclear Antibodies HEp-2 images: Progress and challenges. - Peter Hobson; Brian C. Lovell; Gennaro Percannella; Alessia Saggese; Mario Vento; Arnold Wiliem (Pattern Recognit. Lett., 2016)

HEp-2 staining pattern recognition at cell and specimen levels: Datasets, algorithms and results. - Peter Hobson; Brian C. Lovell; Gennaro Percannella; Alessia Saggese; Mario Vento; Arnold Wiliem (Pattern Recognit. Lett., 2016)

Explicit discriminative representation for improved classification of manifold features. - Arnold Wiliem; Raviteja Vemulapalli; Brian C. Lovell (Pattern Recognit. Lett., 2016)

An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images. - Johanna Carvajal; Daniel F. Smith; Kun Zhao 001; Arnold Wiliem; Paul Finucane; Peter Hobson; Anthony Jennings; Rodney McDougall; Brian C. Lovell (CVPR Workshops, 2017)

What is the best way for extracting meaningful attributes from pictures? - Liangchen Liu; Arnold Wiliem; Shaokang Chen; Brian C. Lovell (Pattern Recognit., 2017)

It Takes Two to Tango: Cascading Off-the-Shelf Face Detectors. - Siqi Yang 001; Arnold Wiliem; Brian C. Lovell (CVPR Workshops, 2018)

Early Experience of Depth Estimation on Intricate Objects using Generative Adversarial Networks. - Wai Y. K. San; Teng Zhang 004; Shaokang Chen; Arnold Wiliem; Dario Stefanelli; Brian C. Lovell (DICTA, 2018)

Training Region Selector for Gram Stained Slides with Limited Data: A Data Distillation Approach. - Teng Zhang 004; Arnold Wiliem; Peter Hobson; Anthony Jennings; Brian C. Lovell (DICTA, 2018)

DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence. - Kun Zhao 001; Yu Ji Jerry Tang; Teng Zhang 004; Johanna Carvajal; Daniel F. Smith; Arnold Wiliem; Peter Hobson; Anthony Jennings; Brian C. Lovell (DICTA, 2018)

Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks. - Siqi Yang 001; Arnold Wiliem; Shaokang Chen; Brian C. Lovell (ECCV (15), 2018)

TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition. - Teng Zhang 004; Arnold Wiliem; Siqi Yang 001; Brian C. Lovell (ICB, 2018)

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks. - Teng Zhang 004; Johanna Carvajal; Daniel F. Smith; Kun Zhao 001; Arnold Wiliem; Peter Hobson; Anthony Jennings; Brian C. Lovell (ICPR, 2018)

Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery. - Liangchen Liu; Feiping Nie 001; Arnold Wiliem; Zhihui Li 001; Teng Zhang 004; Brian C. Lovell (IEEE Trans. Image Process., 2018)

Recurrent Attention Networks for Medical Concept Prediction. - Sam Maksoud; Arnold Wiliem; Brian C. Lovell (CLEF (Working Notes), 2019)

Deep-Learning from Mistakes: Automating Cloud Class Refinement for Sky Image Segmentation. - Gemma Dianne; Arnold Wiliem; Brian C. Lovell (DICTA, 2019)

To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? - Can Peng; Kun Zhao 001; Arnold Wiliem; Teng Zhang 004; Peter Hobson; Anthony Jennings; Brian C. Lovell (DICTA, 2019)

Deep Corrosion Assessment for Electrical Transmission Towers. - Teng Zhang 004; Liangchen Liu; Arnold Wiliem; Stephen Connor; Zelkjo Ilich; Eddie Van Der Draai; Brian C. Lovell (DICTA, 2019)

Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks. - Liangchen Liu; Teng Zhang 004; Kun Zhao 001; Arnold Wiliem; Kieren Astin-Walmsley; Brian C. Lovell (ICIP, 2019)

Cannygan: Edge-Preserving Image Translation with Disentangled Features. - Tianren Wang; Teng Zhang 004; Liangchen Liu; Arnold Wiliem; Brian C. Lovell (ICIP, 2019)

Deep Instance-Level Hard Negative Mining Model for Histopathology Images. - Meng Li; Lin Wu 001; Arnold Wiliem; Kun Zhao 001; Teng Zhang 004; Brian C. Lovell (MICCAI (1), 2019)

CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels. - Sam Maksoud; Arnold Wiliem; Kun Zhao 001; Teng Zhang 004; Lin Wu 001; Brian C. Lovell (MICCAI (1), 2019)

Convex class model on symmetric positive definite manifolds. - Kun Zhao 001; Arnold Wiliem; Shaokang Chen; Brian C. Lovell (Image Vis. Comput., 2019)

Unsupervised Domain Adaptive Object Detection Using Forward-Backward Cyclic Adaptation. - Siqi Yang 001; Lin Wu 001; Arnold Wiliem; Brian C. Lovell (ACCV (3), 2020)

Omni-supervised joint detection and pose estimation for wild animals. - Teng Zhang 004; Liangchen Liu; Kun Zhao 001; Arnold Wiliem; Graham Hemson; Brian C. Lovell (Pattern Recognit. Lett., 2020)

Does Interference Exist When Training a Once-For-All Network? - Jordan Shipard; Arnold Wiliem; Clinton Fookes (CVPR Workshops, 2022)

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (CVPR Workshops, 2023)

Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (CoRR, 2023)

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (CoRR, 2023)

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (Zenodo, 2023)

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (Zenodo, 2023)

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (Zenodo, 2023)

2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (WACV (Workshops), 2024)

SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions. - Martin Tran; Jordan Shipard; Hermawan Mulyono; Arnold Wiliem; Clinton Fookes (WACV (Workshops), 2024)

Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss. - Jordan Shipard; Arnold Wiliem; Kien Nguyen Thanh; Wei Xiang 001; Clinton Fookes (CoRR, 2024)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (WACV (Workshops), 2025)

MTReD: 3D Reconstruction Dataset for Fly-Over Videos of Maritime Domain. - Rui Yi Yong; Samuel Picosson; Arnold Wiliem (WACV (Workshops), 2025)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (CoRR, 2025)