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  • Ajmal Mian

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 journalArticle

Open Access

Online learning from local features for video-based face recognition

Mian, A., May 2011, In : Pattern Recognition. 44, 5, p. 1068-1075

Research output: Contribution to journalArticle

21 Citations (Scopus)
10 Downloads (Pure)

On-field player workload exposure and knee injury risk monitoring via deep learning

Johnson, W. R., Mian, A., Lloyd, D. G. & Alderson, J. A., 27 Aug 2019, In : Journal of Biomechanics. 93, p. 185-193

Research output: Contribution to journalArticle

4 Citations (Scopus)

On farm automatic sheep breed classification using deep learning

Abu Jwade, S., Guzzomi, A. & Mian, A., 1 Dec 2019, In : Computers and Electronics in Agriculture. 167, 105055.

Research output: Contribution to journalArticle

3 Citations (Scopus)

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 paperConference paper

4 Citations (Scopus)
13 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 journalArticle

24 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 paperConference paper

Open Access
14 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 paperConference paper

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 paperConference paper

12 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 paperConference paper

9 Citations (Scopus)

Learning interpretable expression-sensitive features for 3D dynamic facial expression recognition

Xue, M., Mian, A., Duan, X. & Liu, W., 2019, Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019. IEEE, Institute of Electrical and Electronics Engineers, 8756564. (Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019).

Research output: Chapter in Book/Conference paperConference paper

Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition

Liu, J., Rahmani, H., Akhtar, N. & Mian, A., 6 Aug 2019, In : International Journal of Computer Vision. 127, p. 1545–1564

Research output: Contribution to journalArticle

Open Access
3 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 paperConference paper

Open Access
File
27 Citations (Scopus)
571 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 paperConference paper

79 Citations (Scopus)

Learning a Deep Model for Human Action Recognition from Novel Viewpoints

Rahmani, H., Mian, A. & Shah, M., 1 Mar 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 3, p. 667-681 15 p., 7893732.

Research output: Contribution to journalArticle

79 Citations (Scopus)

Learning a deeply supervised multi-modal RGB-D embedding for semantic scene and object category recognition

Zaki, H. F. M., Shafait, F. & Mian, A., 1 Jun 2017, In : Robotics and Autonomous Systems. 92, p. 41-52 12 p.

Research output: Contribution to journalArticle

11 Citations (Scopus)

Label Universal Targeted Attack

Akhtar, N., Jalwana, M. A. A. K., Bennamoun, M. & Mian, A., 27 May 2019, arXiv preprint 15 p.

Research output: Contribution to specialist publicationArticle

File
73 Downloads (Pure)

Joint Group Sparse PCA for Compressed Hyperspectral Imaging

Khan, Z., Shafait, F. & Mian, A., Dec 2015, In : IEEE Transactions on Image Processing. 24, 12, p. 4934-4942 9 p.

Research output: Contribution to journalArticle

32 Citations (Scopus)

Joint discriminative Bayesian dictionary and classifier learning

Akhtar, N., Mian, A. & Porikli, F., 6 Nov 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. New York: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-January. p. 3919-3928 10 p.

Research output: Chapter in Book/Conference paperConference paper

11 Citations (Scopus)

Is spectral reflectance of the face a reliable biometric?

Uzair, M., Mahmood, A., Shafait, F., Nansen, C. & Mian, A., 2015, In : Optics Express. 23, 12, p. 15160-15173

Research output: Contribution to journalArticle

Open Access
16 Citations (Scopus)

Increased susceptibility to aphids of flowering wheat plants exposed to low temperatures

Lacoste, C., Nansen, C., Thompson, S., Moir-Barnetson, L., Mian, A., Mcnee, M. & Flower, K., 2015, In : Environmental Entomology. 44, 3, p. 610-618

Research output: Contribution to journalArticle

6 Citations (Scopus)
3 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 journalArticle

34 Citations (Scopus)

Illumination normalization of facial images by reversing the process of image formation

Al-Osaimi, F. R., Bennamoun, M. & Mian, A., Nov 2011, In : Machine Vision and Applications. 22, 6, p. 899-911

Research output: Contribution to journalArticle

13 Citations (Scopus)

Illumination invariant recognition and 3D reconstruction of faces using desktop optics

Mian, A., 4 Apr 2011, In : Optics Express. 19, 8, p. 7491-7506

Research output: Contribution to journalArticle

Open Access
20 Citations (Scopus)

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 journalArticle

Open Access
18 Citations (Scopus)
7 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 paperConference paper

26 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 journalArticle

77 Citations (Scopus)

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 paperConference paper

Open Access
47 Citations (Scopus)

Hyperspectral Document Imaging: Challenges and Perspectives

Khan, Z., Shafait, F. & Mian, A., 2014, Camera-Based Document Analysis and Recognition (Lecture Notes in Computer Science). Switzerland: Springer, Vol. 1. p. 150-163

Research output: Chapter in Book/Conference paperConference paper

3 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 paperConference paper

Open Access
8 Citations (Scopus)

HOPC: Histogram of Oriented Principal Components of 3D pointclouds for action recognition

Rahmani, H., Mahmood, A., Huynh, D. & Mian, A., 2014, Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science. Switzerland: Springer, Vol. 8690 LNCS. p. 742-757

Research output: Chapter in Book/Conference paperConference paper

82 Citations (Scopus)

Holistic influence maximization for targeted advertisements in spatial social networks

Li, J., Cai, T., Mian, A., Li, R. H., Sellis, T. & Yu, J. X., 24 Oct 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1344-1347 4 p. 8509366

Research output: Chapter in Book/Conference paperConference paper

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 journalArticle

71 Citations (Scopus)

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 paperConference paper

Open Access
5 Citations (Scopus)

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 paperConference paper

23 Citations (Scopus)
10 Downloads (Pure)

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 journalEditorial

Gradient based efficient feature selection

Gilani, S. Z. A., Shafait, F. & Mian, A., 2014, 2014 IEEE Winter Conference on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 191-197

Research output: Chapter in Book/Conference paperConference paper

3 Citations (Scopus)

Geometric Facial Gender Scoring: Objectivity of Perception

Gilani, S., Rooney, K., Shafait, F., Walters, M. & Mian, A., 12 Jun 2014, In : PLoS One. 9, 6, 12 p., https://doi.org/10.1371/journal.pone.0099483.

Research output: Contribution to journalArticle

Open Access
File
17 Citations (Scopus)
731 Downloads (Pure)
22 Citations (Scopus)

Fully automatic 3D facial expression recognition using local depth features

Xue, M., Mian, A., Liu, W. & Li, L., 2014, 2014 IEEE Winter Conference on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1096-1103

Research output: Chapter in Book/Conference paperConference paper

11 Citations (Scopus)

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 journalArticle

39 Citations (Scopus)

Fish identification from videos captured in uncontrolled underwater environments

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

Research output: Contribution to journalArticle

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 journalArticle

2 Citations (Scopus)

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. 27-37 11 p.

Research output: Contribution to journalArticle

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 paperConference paper

6 Citations (Scopus)

Facial Gender Classification — Analysis using Convolutional Neural Networks

Lee, B., Gilani, S. Z., Hassan, G. M. & Mian, A., Dec 2019, Proceedings of Digital Image Computing: Technqiues and Applications (DICTA) . USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-8 8 p.

Research output: Chapter in Book/Conference paperConference paper