School of Information Technology and Electrical Engineering
The University of Queensland
Brisbane, QLD, 4072, Australia
Tel: +61 7 3365 1643
Fax: +61 7 3365 4999
I received my PhD from Queensland University of Technology in 2010, and then joined NICTA Queensland Laboratory (QRL). From 2013 until present I am working as one of the research fellows in Advanced Surveillance Group at UQ. My current interest is in Computer Vision, Image Processing, Pattern Recognition and Machine Learning. I have been working in Digital Pathology project funded by Sullivan Nicolaides Pathology. I am one of the Advance Queensland Research Fellowship receipients.
- ARC Linkages Project (2017-)- Fusion of Digital Microscopy and Plain Text Reports for Automated Analysis
- Advanced Queensland Research Fellowship (Early) (2016-2019) - Transforming Queensland Health Care via Digital Pathology
- Commonwealth Defence Science and Technology Group (2016-2017) - Development of a Demonstrator for the Automation of Quantitative Fractography
International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Image Analysis, ICPR 2016
International Cells Competition on Cells Classification by Fluorescent Image Analysis, in conjunction with ICIP2013, September 15-18, 2013. Melbourne, Australia.
I have been lucky to meet and collaborate with these wonderful people (sorted in alphabetical order):
- Prof Brian C. Lovell
- Prof Rodney Minchin
- Prof Mario Vento
- Dr Gennaro Percannella
- Dr Conrad Sanderson
- Dr Mehrtash Harandi
- Dr Shaokang Chen
- Dr Yong Kang Wong
- For all Digital Pathology datasets, please visit our Digital Pathology Dataset web page
- FRAUD [web]
J. Carvajal, D. F. Smith, K. Zhao, A. Wiliem, P. Finucane, P. Hobson, A. Jennings, R. McDougall, B. C. Lovell. An early experience toward developing computer aided diagnosis for gram-stained smears images. CVPR Workshop for Computer Vision for Microscopy Image Analysis (CVMI), 2017
L. Liu, A. Wiliem, S. Chen, B. C. Lovell. What is the best way for extracting meaningful attributes from pictures? Pattern Recognition 64, 314-326.
A. Wiliem, B. C. Lovell. W. Hu, S. Barter. Computer-Assisted Identification and Extraction of Geometry Features for Quantitative Fractography. AIAC 2017. Best paper award!
K. Zhao, S. Yang, A. Wiliem, B. C. Lovell. Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition. ICPR 2016.
S. Yang, A. Wiliem, B. C. Lovell. The GIST of Aligning Faces. ICPR 2016.
L. Liu, F. Nie, T. Zhang, A. Wiliem, B. C. Lovell. Unsupervised automatic attribute discovery method via multi-graph clustering. ICPR 2016.
W.Y.K. San, S. Chen, A. Wiliem, B. Di, B. C. Lovell. How do you develop a face detector for the unconstrained environment? IVCNZ 2016.
P. Hobson, B. C. Lovell, G. Percannella, A. Saggese, M. Vento, A. Wiliem. HEp-2 staining pattern recognition at cell and specimen levels: Datasets, algorithms and results. Pattern Recognition Letters 82, 12-22.
M. Harandi, B. C. Lovell, G. Percannella, A. Saggese, M. Vento, A. Wiliem. Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence image analysis. Pattern Recognition Letters 82 (P1), 1-2.
P. Hobson, B. C. Lovell, G. Percannella, M. Vento, A. Wiliem. Computer aided diagnosis for anti-nuclear antibodies HEp-2 images: progress and challenges. Pattern Recognition Letters 82, 3-11.
A. Wiliem, R. Vemulapalli, B. C. Lovell. Explicit Representation for Improved Classification of Manifold Features. Pattern Recognition Letters 80, 121-128.
K. Zhao, A. Wiliem, S. Chen, B. C. Lovell. Manifold Convex Hull (MACH): Satisfying a Need For SPD. ICIP 2016.
K. Zhao, A. Alavi, A. Wiliem, B. C. Lovell. Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach. Pattern Recognition. Vol 51, Pages 333-345 [pdf]
T. Zhang, L. Liu, A. Wiliem, B. C. Lovell. Is Alice Chasing or Being Chased? : Determining Subject and Object of Activities in Videos. WACV 2016 [pdf]
L. Liu, A. Wiliem, S. Chen, B. C. Lovell. Automatic and Quantitative Evaluation of Attribute Discovery Methods. WACV 2016. [pdf]
L. Liu, A. Wiliem, S. Chen, B. C. Lovell. Determining the Best Attributes for Surveillance Video Keywords Generation. ISBA 2016. [pdf]
J. Carvajal, A. Wiliem, C. McCool, B.C. Lovell, C. Sanderson. Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. MLSDA 2016 [pdf]
P. Hobson, A. Wiliem, G. Percannella, M. Vento, A. Wiliem. Benchmarking Human Epithelial Type 2 Interphase Cells Classification Methods on a Very Large Dataset. Artificial Intelligence in Medicine, Vol 65, Issue 3, Pages 239-250 [pdf]
A. Samak, A. Wiliem, P. Hobson, M. Walsh, T. Ditchmen, A. Troskie, S. Barksdale, R. Edwards, A. Jennings, B. C. Lovell. An Optimization Approach to Scanning Skin Direct Immunofluorescence Specimens. DICTA 2015 [pdf]
A. Miros, A. Wiliem, K. Holohan, L. Ball, P. Hobson, B. C. Lovell. A Benchmarkring Platform for Mitotic Cell Classification of ANA IIF HEp-2 Images. DICTA 2015 [pdf]
K. Zhao, A. Wiliem, B. C. Lovell. Kernelised Orthogonal Random Projection on Grassmann Manifolds with Applications to Gait and Action Recognition. ISBA 2015 [pdf]
D. Smith, A. Wiliem, B. C. Lovell. Binary Watermarks: A Practical Method to Address Face Recognition Replay Attacks on Consumer Mobile Devices. ISBA 2015 [pdf] best paper award!
T. Zhang, A. Wiliem, G. Hemson, B. C. Lovell. Detecting Kangaroos In The Wild: The First Step Towards Automated Animal Surveillance. ICASSP 2015 [pdf]
M. Crossman, A. Wiliem, P. Finucane, T. Jennings, B. C. Lovell. A Multiple Covariance Approach for Cell Detection of Gram-stained Smears Images. ICASSP 2015 [pdf]
A. Wiliem, P. Hobson, R.F. Minchin, B. C. Lovell. A Bag of Cells Approach for Antinuclear Antibodies HEp-2 Images Classification. Cytometry Part A.Vol 87, Issue 6, Pages 549-557 [web]
D. Smith, A. Wiliem, B. C. Lovell. Face Recognition on Consumer Devices: Reflections on Replay Attacks. IEEE Transaction on Information Forensics and Security. Vol 10, Issue 4, Pages 736-745 [dataset]
P. Hobson, B. C. Lovell, G. Percannella, M. Vento, A. Wiliem. Classfying Anti-nuclear Antibodies HEp-2 Images: A Benchmarking Platform. ICPR 2014. [pdf | dataset]
A. Wiliem, P. Hobson, B. C. Lovell. Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification. WACV 2014. [pdf | dataset]
S. Chen, A. Wiliem, C. Sanderson, B. C. Lovell. Matching Image Sets via Adaptive Multi Convex Hull. WACV 2014. [pdf]
A. Alavi, A. Wiliem, K. Zhao, B. C. Lovell. Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification. WACV 2014. [pdf]
Y. Yang, A. Wiliem, A. Alavi, B. C. Lovell, P. Hobson. Visual Learning and Classification of Human Epithelial Type 2 Cell Images through Spontaneous Activity Patterns. Pattern Recognition, Vol 47, Issue 7, Pages 2325-2337. [web]
M. Faraki, M. T. Harandi, A. Wiliem, B. C. Lovell. Fisher Tensors for Classifying Humen Epithelial Cells. Pattern Recognition, Vol 47, Issue 7, Pages 2348-2359. [web]
A. Wiliem, C. Sanderson, Y. Wong, P. Hobson, R. F. Minchin, B. C. Lovell. Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching. Pattern Recognition Vol 47, Issue 7, Pages 2315-2324. [web]
P. Hobson, G. Percannella, M. Vento, A. Wiliem. International Competition on Cells Classification by Fluorescent Image Analysis at ICIP 2013. Report. [web]
Y, Yang, A. Wiliem, A. Alavi, P. Hobson. Classification of Human Epithelial Type 2 Cell images using Independent Component Analysis. ICIP 2013. [pdf]
A. Wiliem, Y. Wong, C. Sanderson, P. Hobson, S. Chen, B. C. Lovell. Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors. WACV 2013. [ pdf | dataset ]
A. Wiliem, Y. Wong, C. Sanderson, P. Hobson, S. Chen, B. C. Lovell. Multi-Scale Multi-Region Probabilistic Histograms for HEp-2 Cell Classification. ICPR Contest 2012. Rank 8 out of 30!
A. Wiliem, V. Madasu, W. Boles, P. Yarlagadda. 2012. A Suspicious Behaviour Detection using a Context Space Model for Smart Surveillance Systems. Computer Vision and Image Understanding, Vol. 116, No. 2, pp. 194-209.
M.T. Harandi, C. Sanderson, A. Wiliem, B. C. Lovell. Kernel Analysis over Riemannian Manifolds for Visual Recognition of Actions, Pedestrians and Textures. WACV 2012. [pdf]
A. Wiliem. Computer Assisted Diagnosis Systems for IIF ANA tests: Challenge and Progress. Autoantibody Seminar 2011. First prize presentation!
A. Wiliem, P. Hobson, R. F. Minchin, B. C. Lovell. An Automatic Image Based Single Dilution Method for End Point Titre Quantitation of Antinuclear Antibodies Tests using HEp-2 Cells. DICTA 2011. [pdf]
A. Wiliem, V. Madasu, W. Boles, P. Yarlagadda. Detecting Uncommon Trajectories. DICTA 2008.
A. Wiliem. 2010. Robust Suspicious Behaviour Detection for Smart Surveillance Systems. Queensland University of Technology. [eprint]
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