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• Viewpoint Invariant RGB-D Human Action Recognition

  Liu, J., Akhtar, N. & Mian, A., 2018, In : IEEE Access.

  Research output: Contribution to journal › Article

  Open Access

  • Classifiers
  • Cameras
  • Trajectories

• Viewpoint invariant RGB-D human action recognition

  Liu, J., Akhtar, N. & Mian, A. S., 2017, 2017 International Conference on Digital Image Computing - Techniques and Applications (DICTA). Guo, Y., Li, H., Cai, W., Murshed, M., Wang, Z., Gao, J. & Feng, D. D. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 261-268

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

  • Classifiers
  • Cameras
  • Trajectories
  5 Citations (Scopus)

• Viewpoint invariant action recognition using RGB-D videos

  Liu, J., Akhtar, N. & Ajmal, M., 1 Jan 2018, In : IEEE Access. 6, p. 70061-70071 11 p., 8529178.

  Research output: Contribution to journal › Article

  Open Access

  • Glossaries
  • Cameras
  • Labels
  • Trajectories
  • Neural networks
  3 Citations (Scopus)

• Using Kinect for face recognition under varying poses, expressions, illumination and disguise

  Li, B. Y. L., Mian, A., Liu, W. & Krishna, A., 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 186-192

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

  Open Access

  File

  • Face recognition
  • Lighting
  • Textures
  • Sensors
  • Glossaries
  171 Citations (Scopus)

  1126 Downloads (Pure)

• Using hyperspectral imaging to characterize consistency of coffee brands and their respective roasting classes

  Nansen, C., Singh, K., Mian, A., Allison, B. J. & Simmons, C. W., Dec 2016, In : Journal of Food Engineering. 190, p. 34-39

  Research output: Contribution to journal › Article

  • roasting
  • Coffee
  • beverages
  • image analysis
  • coffee beans
  20 Citations (Scopus)

• Unsupervised manifold alignment using soft-assign technique

  Fan, K., Mian, A., Liu, W. & Li, L., 2016, In : Machine Vision and Applications. 27, 6, p. 929-942 14 p.

  Research output: Contribution to journal › Article

  • Proteins
  • Lighting
  3 Citations (Scopus)

• Towards Large-Scale 3D Face Recognition

  Gilani, Z. & Mian, A., 22 Dec 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016. Liew, A. W., Zhou, C., Gao, Y., Wang, Z., Fookes, C., Lovell, B. & Blumenstein, M. (eds.). IEEE, Institute of Electrical and Electronics Engineers, 7797090

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

  • Face recognition
  • Seed
  2 Citations (Scopus)

• Towards automating underwater measurement of fish length: a comparison of semi-automatic and manual stereo-video measurements

  Shafait, F., Harvey, E. S., Shortis, M. R., Mian, A., Ravanbakhsh, M., Seager, J. W., Culverhouse, P. F., Cline, D. E. & Edgington, D. R., 2017, In : ICES Journal of Marine Science: journal du conseil. 74, 6, p. 1690-1701 12 p.

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

• Towards Automated Hyperspectral Document Image Analysis

  Khan, Z., Shafait, F. & Mian, A., 2013, Proceedings of the 2nd International Workshop on Automated Forensic Handwriting Analysis: A Satellite Workshop of International Conference on Document Analysis and Recognition (ICDAR 2013) (CEUR Workshop Proceedings). USA: CEUR, Vol. 1022. p. 41-45

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

  • Hyperspectral imaging
  • Image analysis
  • Medical imaging
  • Ink
  • Remote sensing
  5 Citations (Scopus)

• Three-dimensional assessment of facial asymmetry using dense correspondence, symmetry, and midline analysis

  Lum, V., Goonewardene, M. S., Mian, A. & Eastwood, P., 12 May 2020, In : American Journal of Orthodontics and Dentofacial Orthopedics.

  Research output: Contribution to journal › Article

  • Facial Asymmetry
  • European Continental Ancestry Group
  • Color
  • Young Adult

• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

  Akhtar, N. & Mian, A., 16 Feb 2018, In : IEEE Access. 6, p. 14410 - 14430 21 p.

  Research output: Contribution to journal › Article

  Open Access

  • Deep learning
  • Computer vision
  • Direction compound
  • Deep neural networks
  • Autonomous vehicles
  326 Citations (Scopus)

• Surface geodesic pattern for 3D deformable texture matching

  Hajati, F., Cheraghian, A., Gheisari, S., Gao, Y. & Mian, A. S., 1 Feb 2017, In : Pattern Recognition. 62, p. 21-32 12 p.

  Research output: Contribution to journal › Article

  • Textures
  • Topography
  • Derivatives
  • Fusion reactions
  • Feature extraction
  8 Citations (Scopus)

• Structural similarity loss for learning to fuse multi-focus images

  Yan, X., Gilani, S. Z., Qin, H. & Mian, A., 20 Nov 2020, In : Sensors (Switzerland). 20, 22, p. 1-17 17 p., 6647.

  Research output: Contribution to journal › Article

  Open Access

  • fuses
  • learning
  • Benchmarking
  • Electric fuses
  • Learning

• Spherical Convolutional Neural Network for 3D Point Clouds

  Lei, H., Akhtar, N. & Mian, A., 21 May 2018, arXiv preprint 10 p.

  Research output: Contribution to specialist publication › Article

  File

  • Neural networks
  • Invariance
  • Convolution
  • Network architecture
  • Neurons
  274 Downloads (Pure)

• Special issue on Advanced Machine Vision: Preface by the guest editors

  Puttemans, S., Goedemé, T., Mian, A., Moeslund, T. B. & Gade, R., 1 Mar 2020, In : Machine Vision and Applications. 31, 3, 14.

  Research output: Contribution to journal › Editorial

  Open Access

  • Computer vision

• Spatiotemporal Derivative Pattern: A Dynamic Texture Descriptor for Video Matching

  Hajati, F., Tavakolian, M., Gheisari, S. & Mian, A., 2015, Computer Vision – ACCV 2014 12th Asian Conference on Computer Vision Singapore, Singapore, November 1–5, 2014 Revised Selected Papers, Part V. USA: Springer, Vol. 9007. p. 626-641

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

• Spatially optimized data-level fusion of texture and shape for face recognition

  Al-Osaimi, F. R., Bennamoun, M. & Mian, A., 11 Aug 2012, In : IEEE Transactions on Image Processing. 21, 2, p. 859-872

  Research output: Contribution to journal › Article

  • Face recognition
  • Fusion reactions
  • Textures
  • Lighting
  • Pixels
  46 Citations (Scopus)

• Sparse Variation Pattern for Texture Classification

  Tavakolian, M., Hajati, F., Mian, A. & Gheisari, S., Nov 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6

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

  Open Access

  File

  • Derivatives
  • Textures
  • Glossaries
  • Feature extraction
  286 Downloads (Pure)

• Sparse Kernel Learning for Image Set Classification

  Uzair, M., Mahmood, A. & Mian, A., 2015, Computer Vision -- ACCV 2014. USA: Springer, Vol. 9004. p. 617-631

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

• Small Object Augmentation of Urban Scenes for Real-Time Semantic Segmentation

  Yang, Z., Yu, H., Feng, M., Sun, W., Lin, X., Sun, M., Mao, Z. H. & Mian, A., 2020, In : IEEE Transactions on Image Processing. 29, p. 5175-5190 16 p., 9040271.

  Research output: Contribution to journal › Article

  • Semantics
  • Deep learning
  2 Citations (Scopus)

• Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking

  Sun, S., Akhtar, N., Song, X., Song, H., Mian, A. & Shah, M., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science + Business Media, p. 626-643 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12369 LNCS).

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

  • Object Tracking
  • Detector
  • Detectors
  • Network Modeling
  • Motion

• Shape-based automatic detection of a large number of 3D facial landmarks

  Gilani, S., Shafait, F. & Mian, A., 2015, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, Institute of Electrical and Electronics Engineers, Vol. 07-12-June-2015. p. 4639-4648 9 p. 10.1109/CVPR.2015.7299095

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

  Open Access

  • Seed
  • Textures
  • Set theory
  38 Citations (Scopus)

• Sexually dimorphic facial features vary according to level of autistic-like traits in the general population

  Gilani, Z., Tan, D., Russell-Smith, S., Maybery, M., Mian, A., Eastwood, P., Shafait, F., Goonewardene, M. & Whitehouse, A., 15 Apr 2015, In : Journal of Neurodevelopmental Disorders. 7, 14, p. 1-10

  Research output: Contribution to journal › Article

  Open Access

  • Autism Spectrum Disorder
  • Population
  • Young Adult
  • Masculinity
  • Discriminant Analysis
  9 Citations (Scopus)

• Self-supervised learning to detect key frames in videos

  Yan, X., Gilani, S. Z., Feng, M., Zhang, L., Qin, H. & Mian, A., 1 Dec 2020, In : Sensors (Switzerland). 20, 23, p. 1-18 18 p., 6941.

  Research output: Contribution to journal › Article

  Open Access

  • learning
  • Supervised learning
  • Labeling
  • Learning
  • Recognition (Psychology)

• SEGGCN: Efficient 3D point cloud segmentation with fuzzy spherical kernel

  Lei, H., Akhtar, N. & Mian, A., 2020, In : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 11608-11617 10 p., 9157177.

  Research output: Contribution to journal › Conference article

  • Convolution
  • Fuzzy clustering
  • Bins
  • Boundary conditions
  • Experiments
  3 Citations (Scopus)

• Robust RGB-D face recognition using Kinect sensor

  Li, B. Y. L., Xue, M., Mian, A., Liu, W. & Krishna, A., 19 Nov 2016, In : Neurocomputing. 214, p. 93-108

  Research output: Contribution to journal › Article

  • Facial Recognition
  • Face recognition
  • Color
  • Databases
  • Sensors
  14 Citations (Scopus)

• Representation learning with deep extreme learning machines for efficient image set classification

  Uzair, M., Shafait, F., Ghanem, B. & Mian, A., 9 Dec 2016, In : NEURAL COMPUTING & APPLICATIONS. 30, 4, p. 1211-1223 13 p.

  Research output: Contribution to journal › Article

  • Deep learning
  • Machine learning
  • Set theory
  • Data structures
  • Experiments
  16 Citations (Scopus)

• Regularization techniques for high-dimensional data analysis

  Lu, J., Peng, X., Deng, W. & Mian, A., 1 Apr 2017, In : Image and Vision Computing. 60, p. 1-3 3 p.

  Research output: Contribution to journal › Editorial
  1 Citation (Scopus)

• RCMF: Robust Constrained Matrix Factorization for Hyperspectral Unmixing

  Akhtar, N. & Mian, A., Jun 2017, In : IEEE Transactions on Geoscience and Remote Sensing. 55, 6, p. 3354-3366 13 p.

  Research output: Contribution to journal › Article

  Open Access

  File
  16 Citations (Scopus)

  789 Downloads (Pure)

• Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence images

  Huynh, E., Bukowska, D. M., Yazar, S., McKnight, C., Mian, A. & Mackey, D., Jul 2016, In : Journal of Medical Imaging. 3, 3, p. 1-7 7 p., 034001.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Solar System
  • Eye
  • Reproducibility of Results
  • Cohort Studies
  • Pregnancy
  5 Citations (Scopus)

  278 Downloads (Pure)

• Progress in the automated identification, measurement, and counting of fish in underwater image sequences

  Shortis, M. R., Ravanbakhsh, M., Shafaii, K. & Mian, A., 1 Jan 2016, In : Marine Technology Society Journal. 50, 1, p. 4-16

  Research output: Contribution to journal › Article

  • Fish
  • video
  • fish
  • detection
  • marine technology
  16 Citations (Scopus)

• Prenatal testosterone exposure is related to sexually dimorphic facial morphology in adulthood

  Whitehouse, A., Gilani, Z., Shafait, F., Mian, A., Tan, D., Maybery, M., Keelan, J., Hart, R., Handelsman, D. J., Goonawardene, M. & Eastwood, P., 7 Oct 2015, In : Proceedings of the Royal Society B: Biological Sciences. 282, 1816, p. 1-9 9 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • testosterone
  • adulthood
  • Testosterone
  • exposure
  • Femininity
  83 Citations (Scopus)

  952 Downloads (Pure)

• Prediction of ground reaction forces and moments via supervised learning is independent of participant sex, height and mass

  Johnson, W. G., Mian, A. S., Donnelly, C. J., Lloyd, D. G. & Alderson, J. A., 2017, Proceedings of the 35th Conference of the International Society of Biomechanics in Sports. Germany: International Society of Biomechanics in Sports, Vol. 35. p. 1142-1145 25

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

  Open Access

  File
  709 Downloads (Pure)

• Predicting sleep apnea from three-dimensional face photography

  Eastwood, P., Gilani, S. Z., McArdle, N., Hillman, D., Walsh, J., Maddison, K., Goonewardene, M. & Mian, A., 15 Apr 2020, In : Journal of clinical sleep medicine. 16, 4, p. 493-502 10 p.

  Research output: Contribution to journal › Article

  • Photography
  • Sleep Apnea Syndromes
  • Obstructive Sleep Apnea
  • Apnea
  • Anatomy
  3 Citations (Scopus)

• Predicting OSA severity from 3-Dimensional craniofacial photography

  Walsh, J., Jayaraman, U., Finlay-Jones, S., Mcardle, N., Hillman, D., Gilani, S. Z., Mian, A. & Eastwood, P., 2016, p. 46-47. 2 p.

  Research output: Contribution to conference › Abstract
  8 Citations (Scopus)

• Predicting Athlete Ground Reaction Forces and Moments from Spatio-temporal Driven CNN Models

  Johnson, W. R., Alderson, J., Lloyd, D. G. & Mian, A., 7 Jul 2018, IEEE Transactions on Biomedical Engineering.

  Research output: Contribution to specialist publication › Article
  15 Citations (Scopus)

• Predicting athlete ground reaction forces and moments from motion capture

  Johnson, W. R., Mian, A., Donnelly, C. J., Lloyd, D. & Alderson, J., 1 Oct 2018, In : Medical and Biological Engineering and Computing. 56, 10, p. 1781-1792 12 p.

  Research output: Contribution to journal › Article

  Open Access

  • Biomechanics
  • Trajectories
  21 Citations (Scopus)

• Point attention network for semantic segmentation of 3D point clouds

  Feng, M., Zhang, L., Lin, X., Gilani, S. Z. & Mian, A., Nov 2020, In : Pattern Recognition. 107, 107446.

  Research output: Contribution to journal › Article

  • Convolution
  • Semantics
  • Labels
  • Neural networks
  • Experiments
  4 Citations (Scopus)

• Periocular region-based person identification in the visible, infrared and hyperspectral imagery

  Uzair, M., Mahmood, A., Mian, A. & Mcdonald, C., 3 Feb 2015, In : Neurocomputing. 149, Part B, p. 854-867

  Research output: Contribution to journal › Article

  Open Access

  File

  • Imagery (Psychotherapy)
  • Infrared radiation
  • Fusion reactions
  • Facial Recognition
  • Criminals
  18 Citations (Scopus)

  488 Downloads (Pure)

• Periocular biometric recognition using image sets

  Uzair, M., Mahmood, A., Mian, A. & Mcdonald, C., Jan 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 246-251

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

  Open Access

  File

  • Image recognition
  • Biometrics
  • Image resolution
  21 Citations (Scopus)

  396 Downloads (Pure)

• Orthogonal Deep Models as Defense against Black-Box Attacks

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, In : IEEE Access. 8, p. 119744-119757 14 p., 9129688.

  Research output: Contribution to journal › Article

  Open Access

  • Deep learning
  • Computer vision

• Octree Guided CNN With Spherical Kernels for 3D Point Clouds

  Lei, H., Akhtar, N. & Mian, A., 9 Jan 2020, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 9623-9632 156730

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

  • Network architecture
  • Invariance
  • Neurons
  • Machine learning
  • Neural networks
  19 Citations (Scopus)

• Nonparametric Coupled Bayesian Dictionary and Classifier Learning for Hyperspectral Classification

  Akhtar, N. & Mian, A., Sep 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 4038-4050 8057599.

  Research output: Contribution to journal › Article

  • Glossaries
  • Classifiers
  • Atoms
  • Labels
  • Probability distributions
  20 Citations (Scopus)

• Multibiometric human recognition using 3D ear and face features

  Islam, S., Davies, R., Bennamoun, M., Owens, R. & Mian, A., Mar 2013, In : Pattern Recognition. 46, 3, p. 613-627

  Research output: Contribution to journal › Article

  • Biometrics
  • Fusion reactions
  26 Citations (Scopus)

• Modeling Sub-Event Dynamics in First-Person Action Recognition

  Mohd Zaki, H. F. B., Shafait, F. & Mian, A. S., 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1619-1628

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

  Open Access

  • Fast Fourier transforms
  • Time series
  • Experiments
  17 Citations (Scopus)

• Modeling 2D Appearance Evolution for 3D Object Categorization

  Zaki, H. F. M., Shafait, F. & Mian, A., 22 Dec 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications. Blumenstein, M., Lovell, B., Fookes, C., Wang, Z., Gao, Y., Zhou, J. & Liew, A. W. (eds.). IEEE, Institute of Electrical and Electronics Engineers

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

  • Neural networks
  • Chemical activation
  • Agglomeration
  • Computer vision
  • Experiments
  2 Citations (Scopus)

• Localized Forgery Detection in Hyperspectral Document Images

  Luo, Z., Shafait, F. & Mian, A., 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR),. United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. n/a. p. 496-500

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

• Localized Deep Extreme Learning Machines for Efficient RGB-D Object Recognition

  Mohd Zaki, H. F., Shafait, F. & Mian, A., 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). USA: Wiley-IEEE Press, p. 1-8

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

• Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition

  Gilani, S. & Mian, A., Jun 2018, International Conference on Computer Vision and Pattern Recognition. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1896-1905 9 p.

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

  Open Access

  File

  • Face recognition
  • Deep learning
  • Merging
  • Tuning
  • Testing
  47 Citations (Scopus)

  833 Downloads (Pure)

• Learning a non-linear knowledge transfer model for cross-view action recognition

  Rahmani, H. & Mian, A., 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 7. p. 2458-2466

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

  • Cameras
  • Trajectories
  • Unsupervised learning
  • Labels
  • Testing
  86 Citations (Scopus)