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• 3D action recognition from novel viewpoints

  Rahmani, H. & Mian, A., 2016, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. O'Conner, L. (ed.). United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2016-January. p. 1506-1515 10 p.

  Research output: Chapter in Book/Conference paper › Conference paper

  • Labels
  • Data acquisition
  • Tuning
  • Neural networks
  • Experiments
  93 Citations (Scopus)

• 3D Face Recognition

  Mian, A. & Pears, N., 2012, 3D Imaging, Analysis and Applications. Pears, N., Liu, Y. & Bunting, P. (eds.). UK: Springer, p. 311-366

  Research output: Chapter in Book/Conference paper › Chapter

  • Face recognition
  • Lighting
  • Invariance
  • Textures
  • Computer simulation

• 3D face recognition using topographic high-order derivatives

  Cheraghian, A., Hajati, F., Mian, A., Yongsheng, G. & Gheisari, S., 2013, Proceedings of 20th IEEE International Conference on Image Processing (ICIP), 2013. Australia: IEEE, Institute of Electrical and Electronics Engineers, p. 3705-3709

  Research output: Chapter in Book/Conference paper › Conference paper

  Open Access

  File

  • Face recognition
  • Derivatives
  • Topography
  285 Downloads (Pure)

• A broad autism phenotype expressed in facial morphology

  Tan, D. W., Maybery, M. T., Gilani, S. Z., Alvares, G. A., Mian, A., Suter, D. & Whitehouse, A. J. O., 1 Dec 2020, In : Translational Psychiatry. 10, 1, 7.

  Research output: Contribution to journal › Article

  Open Access

  • Masculinity
  • Autistic Disorder
  • Siblings
  • Phenotype
  • Photogrammetry

• Accuracy of maxillary repositioning surgery using CAD/CAM customized surgical guides and fixation plates

  Wong, A., Goonewardene, M. S., Allan, B. P., Mian, A. S. & Rea, A., 9 Sep 2020, In : International Journal of Oral and Maxillofacial Surgery.

  Research output: Contribution to journal › Article

  • Computer-Aided Design
  • Titanium
  • Maxilla
  • Maxillary Osteotomy
  • Yaws

• A Compact Discriminative Representation for Efficient Image-set Classification with Application to Biometric Recognition

  Uzair, M., Mahmood, A., Mian, A. & Mcdonald, C., Jun 2013, Proceedings of the 2013 International Conference on Biometrics (ICB). Madrid, Spain: IEEE, Institute of Electrical and Electronics Engineers, p. 1-8

  Research output: Chapter in Book/Conference paper › Conference paper

  Open Access

  File

  • Covariance matrix
  • Biometrics
  • Discriminant analysis
  • Face recognition
  • Decomposition
  12 Citations (Scopus)

  423 Downloads (Pure)

• Adversarial Attack on Skeleton-Based Human Action Recognition

  Liu, J., Akhtar, N. & Mian, A., 22 Dec 2020, In : IEEE Transactions on Neural Networks and Learning Systems.

  Research output: Contribution to journal › Article

  • Deep learning
  • Computer graphics

• Anchored vertex exploration for community engagement in social networks

  Cai, T., Li, J., Hasan Haldar, N. A., Mian, A., Yearwood, J. & Sellis, T., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE, Institute of Electrical and Electronics Engineers, p. 409-420 12 p. 9101364. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

  Research output: Chapter in Book/Conference paper › Conference paper

  • Costs
  • Experiments
  2 Citations (Scopus)

• A review of techniques for the identification and measurement of fish in underwater stereo-video image sequences

  Shortis, M. R., Ravanbakhsh, M., Shafait, F., Harvey, E., Mian, A., Seager, J. W., Culverhouse, P. F., Cline, D. E. & Edgington, D. R., 2013, Proceedings of SPIE, Videometrics, Range Imging, and Applications XII; and automated Visual Inspection. United States: S P I E - International Society for Optical Engineering, Vol. 8791. p. 8791 0G 1 - 10

  Research output: Chapter in Book/Conference paper › Conference paper
  52 Citations (Scopus)

• Attack to Explain Deep Representation

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, In : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 9540-9549 10 p., 9156888.

  Research output: Contribution to journal › Conference article

  • Labels
  • Classifiers
  • Deep learning
  • Casting
  • Demonstrations
  1 Citation (Scopus)

• Automated fish detection in underwater images using shape-based level sets

  Ravanbakhsh, M., Shortis, M., Shafait, F., Harvey, E., Mian, A. & Seager, J., 2015, In : Photogrammetric Record. 30, 149, p. 46-62

  Research output: Contribution to journal › Article

  • Fish
  • fish
  • detection
  • video
  • underwater environment
  22 Citations (Scopus)

• Automatic 4D facial expression recognition using DCT features

  Xue, M., Mian, A., Liu, W. & Li, L., 2015, 2015 IEEE Winter Conference on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 199-206

  Research output: Chapter in Book/Conference paper › Conference paper

  • Discrete cosine transforms
  • Feature extraction
  • Classifiers
  • Experiments
  19 Citations (Scopus)

• Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system

  Salman, A., Siddiqui, S. A., Shafait, F., Mian, A., Shortis, M. R., Khurshid, K., Ulges, A. & Schwanecke, U., 1 Jul 2020, In : ICES Journal of Marine Science. 77, 4, p. 1295-1307 13 p.

  Research output: Contribution to journal › Article

  • neural networks
  • video
  • learning
  • fish
  • detection
  17 Citations (Scopus)

• Automatic ink mismatch detection for forensic document analysis

  Khan, Z., Shafait, F. & Mian, A., Nov 2015, In : Pattern Recognition. 48, 11, p. 3615-3626 12 p.

  Research output: Contribution to journal › Article

  • Ink
  • Hyperspectral imaging
  • Cameras
  • Imaging systems
  • Imaging techniques
  32 Citations (Scopus)

• Automatic signature segmentation using hyper-spectral imaging

  Butt, U. M., Ahmad, S., Shafait, F., Nansen, C., Mian, A. S. & Malik, M. I., 2017, Proceedings - 2016 15th International Conference on Frontiers in Handwriting Recognition, ICFHR 2016. Liu, C-L. & Chen, Y. (eds.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 19-24 6 p. 7814033

  Research output: Chapter in Book/Conference paper › Conference paper

  • Hyperspectral imaging
  • Pixels
  • Ink
  • Color
  3 Citations (Scopus)

• Bayesian sparse representation for hyperspectral image super resolution

  Akhtar, N., Shafait, F. & Mian, A., 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3631-3640

  Research output: Chapter in Book/Conference paper › Conference paper

  • Optical resolving power
  • Image resolution
  • Hyperspectral imaging
  • Electric fuses
  • Glossaries
  118 Citations (Scopus)

• Biologically significant facial landmarks: How significant are they for gender classification?

  Gilani, S., Shafait, F. & Mian, A., 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 96-103 8 p. 10.1109/DICTA.2013.6691488

  Research output: Chapter in Book/Conference paper › Conference paper

  Open Access

  File

  • Human computer interaction
  • Feature extraction
  • Experiments
  15 Citations (Scopus)

  439 Downloads (Pure)

• Biometric authentication system using retinal vessel pattern and geometric hashing

  Bhuiyan, A., Hussain, A., Mian, A., Wong, T. Y., Ramamohanarao, K. & Kanagasingam, Y., 1 Mar 2017, In : IET Biometrics. 6, 2, p. 79-88 10 p.

  Research output: Contribution to journal › Article

  • Biometrics
  • Authentication
  • Blood vessels
  • Color
  • Computer simulation
  6 Citations (Scopus)

• Biometric Security Application for Person Authentication Using Retinal Vessel Feature

  Hussain, A., Bhuiyan, A., Mian, A. & Ramamohanarao, K., 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 306-313

  Research output: Chapter in Book/Conference paper › Conference paper

  • Biometrics
  • Authentication
  • Blood vessels
  • Security of data
  • Information retrieval
  9 Citations (Scopus)

• Blind domain adaptation with augmented extreme learning machine features

  Uzair, M. & Mian, A., 1 Mar 2017, In : IEEE Transactions on Cybernetics. 47, 3, p. 651-660 10 p., 7404267.

  Research output: Contribution to journal › Article

  • Machine learning
  • Classifiers
  • Testing
  • Experiments
  29 Citations (Scopus)

• Brief Report: Facial Asymmetry and Autistic-Like Traits in the General Population

  Boutrus, M., Gilani, Z., Maybery, M. T., Alvares, G. A., Tan, D. W., Eastwood, P. R., Mian, A. & Whitehouse, A. J. O., 26 Aug 2020, In : Journal of Autism and Developmental Disorders.

  Research output: Contribution to journal › Article

  • Facial Asymmetry
  • Autistic Disorder
  • Population
  • Photogrammetry
  • Young Adult

• Comparison of multidirectional representations for multispectral palmprint recognition

  Khan, Z., Shafait, F. & Mian, A., 2015, Computational Forensics. Springer, Vol. 8915. p. 44-54

  Research output: Chapter in Book/Conference paper › Conference paper

  • Palmprint recognition
  • Biometrics
  • Infrared radiation
  • Experiments

• Convolutional hypercube pyramid for accurate RGB-D object category and instance recognition

  Zaki, H. F., Shafait, F. & Mian, A., 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA). Okamura, A. (ed.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1685-1692 8 p.

  Research output: Chapter in Book/Conference paper › Conference paper

  • Object recognition
  • Deep learning
  • Neurons
  • Chemical activation
  • Computer vision
  25 Citations (Scopus)

• Deep, dense and accurate 3D face correspondence for generating population specific deformable models

  Gilani, Z., Mian, A. & Eastwood, P., Sep 2017, In : Pattern Recognition. 69, p. 238-250

  Research output: Contribution to journal › Article

  Open Access

  File

  • Set theory
  26 Citations (Scopus)

  539 Downloads (Pure)

• Derivative Variation Pattern for Illumination-Invariant Image Representation

  Tavakolian, M., Hajati, F., Mian, A., Gao, Y. & Gheisari, S., Sep 2013, Proceedings of 20th IEEE International Conference on Image Processing (ICIP), 2013. Australia: IEEE, Institute of Electrical and Electronics Engineers, p. 4210-4214

  Research output: Chapter in Book/Conference paper › Conference paper

  Open Access

  File

  • Derivatives
  • Lighting
  • Palmprint recognition
  • Face recognition
  • Pixels
  285 Downloads (Pure)

• Discriminative Bayesian Dictionary Learning for Classification

  Akhtar, N., Shafait, F. & Mian, A., 1 Dec 2016, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 12, p. 2374-2388

  Research output: Contribution to journal › Article

  • Dictionary
  • Glossaries
  • Learning
  • Classifier
  • Atoms
  28 Citations (Scopus)

• Discriminative human action classification using locality-constrained linear coding

  Rahmani, H., Huynh, D., Mahmood, A. & Mian, A., 2016, In : Pattern Recognition Letters. 72, p. 62-71

  Research output: Contribution to journal › Article
  32 Citations (Scopus)

• Dynamic Texture Comparison Using Derivative Sparse Representation: Application to Video-Based Face Recognition

  Hajati, F., Tavakolian, M., Gheisari, S., Gao, Y. & Mian, A. S., 1 Dec 2017, In : IEEE Transactions on Human-Machine Systems. 47, 6, p. 970-982 13 p., 7898817.

  Research output: Contribution to journal › Article

  • Face recognition
  • Derivatives
  • Textures
  • video
  • coding
  16 Citations (Scopus)

• Efficient classification with sparsity augmented collaborative representation

  Akhtar, N., Shafait, F. & Mian, A., 1 May 2017, In : Pattern Recognition. 65, p. 136-145 10 p.

  Research output: Contribution to journal › Article

  • Object-oriented databases
  • Labels
  • Experiments
  45 Citations (Scopus)

• Face recognition based on Kinect

  Li, B. Y. L., Mian, A., Liu, W. & Krishna, A., 2015, In : Pattern Analysis and Applications. N/A, p. 1-11

  Research output: Contribution to journal › Article
  11 Citations (Scopus)

• Face recognition using sparse approximated nearest points between image sets

  Hu, Y., Mian, A. & Owens, R., 15 Aug 2012, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 34, 10, p. 1992-2004

  Research output: Contribution to journal › Article

  • Face Recognition
  • Face recognition
  • Gradient methods
  • Tuning
  • Sparse Coding
  138 Citations (Scopus)

• Facial self similarity for sketch to photo matching

  Khan, Z., Hu, Y. & Mian, A., 2012, 2012 International Conference on Digital Image Computing Techniques and Applications. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-7

  Research output: Chapter in Book/Conference paper › Conference paper

  • Law enforcement
  6 Citations (Scopus)

• Facial soft tissue norms in caucasians using an innovative three-dimensional approach

  Ponnusamy, A., Goonewardene, M. S., Mian, A., Eastwood, P., Rea, A. & Islam, S., 2020, In : Australasian Orthodontic Journal. 36, 1, p. 45-54 10 p.

  Research output: Contribution to journal › Article

  • Orthodontics
  • Oral and Maxillofacial Surgeons
  • Orthodontists
  • Western Australia
  • Clinical Decision-Making

• Facial Soft Tissue Norms in Caucasians Using Innovative 3-Dimensional Approach

  Ponnusamy, A., Goonewardene, M., Mian, A., Eastwood, P., Rea, A. & Islam, S., May 2020, In : Australasian Orthodontic Journal. 36, 1, p. 45-54 11 p.

  Research output: Contribution to journal › Article

  • Orthodontics
  • Oral and Maxillofacial Surgeons
  • Orthodontists
  • Western Australia
  • Clinical Decision-Making

• Fish detection and species classification in underwater environments using deep learning with temporal information

  Jalal, A., Salman, A., Mian, A., Shortis, M. & Shafait, F., May 2020, In : Ecological Informatics. 57, 101088.

  Research output: Contribution to journal › Article

  • underwater environment
  • Fish
  • Deep learning
  • learning
  • Learning
  11 Citations (Scopus)

• Fish identification from videos captured in uncontrolled underwater environments

  Shafait, F., Mian, A., Shortis, M., Ghanem, B., Culverhouse, P. F., Edgington, D., Cline, D., Ravanbakhsh, M., Seager, J. & Harvey, E., 18 Jul 2016, In : ICES Journal of Marine Science. 73, 10, p. 2737-2746 10 p.

  Research output: Contribution to journal › Article

• Fish species classification in unconstrained underwater environments based on deep learning

  Salman, A., Jalal, A., Shafait, F., Mian, A., Shortis, M., Seager, J. & Harvey, E., Sep 2016, In : LIMNOLOGY AND OCEANOGRAPHY-METHODS. 14, 9, p. 570-585

  Research output: Contribution to journal › Article

  • Fish
  • Deep learning
  • Limnology
  • Oceanography
  • Digital cameras
  48 Citations (Scopus)

• Futuristic greedy approach to sparse unmixing of hyperspectral data

  Akhtar, N., Shafait, F. & Mian, A., Apr 2015, In : IEEE Transactions on Geoscience and Remote Sensing. 53, 4, p. 2157-2174

  Research output: Contribution to journal › Article

  • pixel
  • Pixels
  • Stars
  • library
  • state of the art
  25 Citations (Scopus)

• Guest Editorial: Language in Vision

  Yan, Y., Lu, J., Mian, A., Ross, A., Murino, V. & Horaud, R., 1 Oct 2017, In : Computer Vision and Image Understanding. 163, p. 1-2 2 p.

  Research output: Contribution to journal › Editorial

• Hierarchical beta process with gaussian process prior for hyperspectral image super resolution

  Akhtar, N., Shafait, F. & Mian, A., 2016, Computer Vision – ECCV 2016. ECCV 2016. Lecture Notes in Computer Science. Leibe, B., Matas, J., Sebe, N. & Welling, M. (eds.). Switzerland: Springer, Vol. 9907 . p. 103-120 18 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Conference paper › Conference paper

  • Image resolution
  • Image fusion
  • Cameras
  • Computer hardware
  • Experiments
  24 Citations (Scopus)

  10 Downloads (Pure)

• Hierarchical sparse spectral clustering for image set classification

  Mahmood, A. & Mian, A., 2012, Proceedings of the British Machine Vision Conference 2012. UK: BMVA Press, Vol. 1. p. 1-11

  Research output: Chapter in Book/Conference paper › Conference paper

  Open Access

  • Atoms
  • Labels
  • Glossaries
  • Set theory
  • Directed graphs
  5 Citations (Scopus)

• Histogram of Oriented Principal Components for Cross-View Action Recognition

  Rahmani, H., Mahmood, A., Huynh, D. & Mian, A., 1 Dec 2016, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 12, p. 2430-2443 14 p., 7415989.

  Research output: Contribution to journal › Article

  • Action Recognition
  • Descriptors
  • Histogram
  • Principal Components
  • Eigenvalues and eigenfunctions
  86 Citations (Scopus)

• Hypermasculinised facial morphology in boys and girls with Autism Spectrum Disorder and its association with symptomatology

  Tan, D. W., Gilani, S. Z., Maybery, M. T., Mian, A., Hunt, A., Walters, M. & Whitehouse, A. J. O., 24 Aug 2017, In : Scientific Reports. 7, 1, 9348.

  Research output: Contribution to journal › Article

  Open Access

  • Masculinity
  • Autism Spectrum Disorder
  • Photogrammetry
  • Communication
  • Femininity
  9 Citations (Scopus)

• Hyper-spectral Analysis for Automatic Signature Extraction

  Malik, M. I., Ahmed, S., Shafait, F., Mian, A., Nansen, C., Dengel, A. & Liwicki, M., 2015, Proceedings of the 17th Biennial Conference of the International Graphonomics Society (IGS). n/a: International Graphonomics Society (IGS), Vol. n/a. p. 1-4

  Research output: Chapter in Book/Conference paper › Conference paper

• Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares

  Uzair, M., Mahmood, A. & Mian, A., 2013, Proceedings of the British Machine Vision Conference 2013. Bristol, UK: BMVA, Vol. 1. p. 10pp

  Research output: Chapter in Book/Conference paper › Conference paper

  Open Access

  • Discrete cosine transforms
  • Face recognition
  • Feature extraction
  • Hyperspectral imaging
  53 Citations (Scopus)

• Hyperspectral face recognition with spatiospectral information fusion and PLS regression

  Uzair, M., Mahmood, A. & Mian, A., Mar 2015, In : IEEE Transactions on Image Processing. 24, 3, p. 1127-1137 11 p.

  Research output: Contribution to journal › Article

  • Information fusion
  • Face recognition
  • Hyperspectral imaging
  • Infrared radiation
  • Signal to noise ratio
  86 Citations (Scopus)

• Hyperspectral imaging for ink mismatch detection

  Khan, Z., Shafait, F. & Mian, A., 2013, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 877-881

  Research output: Chapter in Book/Conference paper › Conference paper

  • Hyperspectral imaging
  • Ink
  27 Citations (Scopus)

• Hyperspectral recovery from RGB images using Gaussian Processes

  Akhtar, N. & Mian, A. S., Jan 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 1, p. 100-113 15 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Gaussian Process
  • Recovery
  • Patch
  • Spectrality
  • Reflectance
  16 Citations (Scopus)

  196 Downloads (Pure)

• Hyperspectral video restoration using optical flow and sparse coding

  Mian, A. & Hartley, R., 7 May 2012, In : Optics Express. 20, 10, p. 10658 - 10673

  Research output: Contribution to journal › Article

  Open Access

  • dictionaries
  • restoration
  • coding
  • registers
  • temporal resolution
  19 Citations (Scopus)

• Image set based face recognition using self-regularized non-negative coding and adaptive distance metric learning

  Mian, A., Hu, Y., Hartley, R. I. & Owens, R., 9 Oct 2013, In : IEEE Transactions on Image Processing. 22, 12, p. 5252-5262

  Research output: Contribution to journal › Article

  • Face recognition
  • Gradient methods
  • Convex optimization
  • Pixels
  • Experiments
  39 Citations (Scopus)