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Author

  • Ajmal Mian
2016

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 journalArticle

2 Citations (Scopus)

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 paperConference paper

71 Citations (Scopus)
2019

Video description: A survey of methods, datasets, and evaluation metrics

Aafaq, N., Mian, A., Liu, W., Gilani, S. Z. & Shah, M., 1 Oct 2019, In : ACM Computing Surveys. 52, 6, 115.

Research output: Contribution to journalReview article

2015

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

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

Research output: Contribution to journalArticle

15 Citations (Scopus)

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

73 Citations (Scopus)
2018

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

60 Citations (Scopus)
2015

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 paperConference paper

2014

An application of shape-based level sets to fish detection in underwater images

Ravanbakhsh, M., Shortis, M. R., Shafait, F., Mian, A., Harvey, E. S. & Seager, J. W., 2014, Proceedings of the 2014 Geospatial Science Research 3 Symposium (GSR_3). Central Europe Workshop Proceedings (CEUR-WS), Vol. 1307. p. 1-9

Research output: Chapter in Book/Conference paperConference paper

2016

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

1 Citation (Scopus)
2017

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 journalEditorial

1 Citation (Scopus)
2011

A training-free nose tip detection method from face range images

Peng, X., Bennamoun, M. & Mian, A., Mar 2011, In : Pattern Recognition. 44, 3, p. 544-558

Research output: Contribution to journalArticle

38 Citations (Scopus)
9 Downloads (Pure)
2019

Converting a common low-cost document scanner into a multispectral scanner

Khan, Z., Shafait, F. & Mian, A., 2 Jul 2019, In : Sensors (Switzerland). 19, 14, 3199.

Research output: Contribution to journalArticle

Open Access
2017

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 paperConference paper

2 Citations (Scopus)
2018

Benchmark Data Set and Method for Depth Estimation from Light Field Images

Feng, M., Wang, Y., Liu, J., Zhang, L., Zaki, H. F. M. & Mian, A., 1 Jul 2018, In : IEEE Transactions on Image Processing. 27, 7, p. 3586-3598 13 p.

Research output: Contribution to journalArticle

6 Citations (Scopus)
2020
Open Access
2019

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

2017

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

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 journalArticle

30 Citations (Scopus)
2014

Regularized least-squares coding with unlabeled dictionary for image-set based face recognition

Uzair, M. & Mian, A., 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, Institute of Electrical and Electronics Engineers, p. 1-7

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)
2011

Correlation based speech-video synchronization

El-Sallam Abd, A. & Mian, A., Apr 2011, In : Pattern Recognition Letters. 32, 6, p. 780 - 786

Research output: Contribution to journalArticle

3 Citations (Scopus)
2018

Defense against Universal Adversarial Perturbations

Akhtar, N., Liu, J. & Mian, A., 18 Jun 2018, IEEE Conference on Computer Vision and Pattern Recognition. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 3389-3398 10 p.

Research output: Chapter in Book/Conference paperConference paper

Open Access
11 Citations (Scopus)
2014

Recent advances on singlemodal and multimodal face recognition: A survey

Zhou, H., Mian, A., Wei, L., Creighton, D. C., Hossny, M. & Nahavandi, S., 2014, In : IEEE Transactions on Human-Machine Systems. 44, 6, p. 701-716

Research output: Contribution to journalArticle

Open Access
49 Citations (Scopus)
2018

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 journalArticle

13 Citations (Scopus)
2013

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 paperConference paper

Open Access
File
231 Downloads (Pure)
2012

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)
2015
20 Citations (Scopus)
2018

Automatic fish species classification in underwater videos: Exploiting pre-trained deep neural network models to compensate for limited labelled data

Siddiqui, S. A., Salman, A., Malik, M. I., Shafait, F., Mian, A., Shortis, M. R. & Harvey, E. S., 1 Jan 2018, In : ICES Journal of Marine Science. 75, 1, p. 374-389 16 p.

Research output: Contribution to journalArticle

26 Citations (Scopus)
2013

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 paperConference paper

Open Access
File
225 Downloads (Pure)
2014

Semi-supervised spectral clustering for image set classification

Mahmood, A., Mian, A. & Owens, R., 2014, IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 121-128 6909417

Research output: Chapter in Book/Conference paperConference paper

38 Citations (Scopus)
2015

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

27 Citations (Scopus)
2014

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
15 Citations (Scopus)
517 Downloads (Pure)
2016

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 journalArticle

Open Access
File
2 Citations (Scopus)
186 Downloads (Pure)
2014

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

2 Citations (Scopus)
2017

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 journalArticle

6 Citations (Scopus)
2015

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

2014

Adaptive spectral reflectance recovery using spatio-spectral support from hyperspectral images

Khan, Z., Shafait, F. & Mian, A., 2014, IEEE International Conference on Image Processing. Paris: IEEE, Institute of Electrical and Electronics Engineers, Vol. -. p. 664-668

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)
2016

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 journalArticle

7 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 journalArticle

25 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

18 Citations (Scopus)
10 Downloads (Pure)
2014

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

74 Citations (Scopus)
2015

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 journalArticle

6 Citations (Scopus)
2014

Sparse spatio-spectral representation for hyperspectral image super-resolution

Akhtar, N., Shafait, F. & Mian, A., 2014, Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science. Switzerland: SpringerLink, Vol. 8695. p. 63-78

Research output: Chapter in Book/Conference paperConference paper

101 Citations (Scopus)
10 Downloads (Pure)
2015

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 journalArticle

21 Citations (Scopus)
2014

Real time action recognition using histograms of depth gradients and random decision forests

Rahmani, H., Mahmood, A., Huynh, D. & Mian, A., 2014, IEEE Winter Conference on Applications of Computer Vision, WACV 2014. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 626-633

Research output: Chapter in Book/Conference paperConference paper

76 Citations (Scopus)
2018

Distance metric learning for pattern recognition

Lu, J., Wang, R., Mian, A., Kumar, A. & Sarkar, S., 1 Mar 2018, In : Pattern Recognition. 75, p. 1-3 3 p.

Research output: Contribution to journalEditorial

3 Citations (Scopus)
2019

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

2018

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 journalArticle

Open Access
1 Citation (Scopus)
2017

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 journalArticle

12 Citations (Scopus)
2015

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

74 Citations (Scopus)
2014

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)