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  • Ajmal Mian

Viewpoint invariant semantic object and scene categorization with RGB-D sensors

Zaki, H. F. M., Shafait, F. & Mian, A., Apr 2019, In : Autonomous Robots. p. 1005-1022 18 p.

Research output: Contribution to journalArticle

Open Access
File
319 Downloads (Pure)

Viewpoint Invariant RGB-D Human Action Recognition

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

Research output: Contribution to journalArticle

Open Access

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 paperConference paper

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 journalArticle

Open Access
2 Citations (Scopus)

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

1 Citation (Scopus)

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 journalArticle

19 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 journalArticle

2 Citations (Scopus)

Unsupervised iterative manifold alignment via local feature histograms

Fan, K., 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. 572-579

Research output: Chapter in Book/Conference paperConference paper

1 Citation (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 paperConference paper

1 Citation (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 journalArticle

14 Citations (Scopus)

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 journalArticle

Open Access
192 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 journalArticle

8 Citations (Scopus)

SUnGP: A greedy sparse approximation algorithm for hyperspectral unmixing

Akhtar, N., Shafait, F. & Mian, A., 2014, Proceedings - International Conference on Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3726-3731

Research output: Chapter in Book/Conference paperConference paper

13 Citations (Scopus)

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 publicationArticle

File
76 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 journalEditorial

Open Access

Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning

Aafaq, N., Akhtar, N., Liu, W., Gilani, S. Z. & Mian, A., 2019, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 12487-12496 10 p.

Research output: Chapter in Book/Conference paperConference paper

Open Access
File
13 Citations (Scopus)
419 Downloads (Pure)

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

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 journalArticle

43 Citations (Scopus)

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

115 Citations (Scopus)
10 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 paperConference paper

4 Citations (Scopus)

Sparse approximated nearest points for image set classification

Hu, Y., Mian, A. & Owens, R., 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 121-128

Research output: Chapter in Book/Conference paperConference paper

Open Access
File
185 Citations (Scopus)
463 Downloads (Pure)

Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition

Liu, J., Akhtar, N. & Mian, A., 2019, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2019): Augmented Human Humancentric Understanding and 2D/3D Synthesis. USA: Computer Vision Foundation

Research output: Chapter in Book/Conference paperConference paper

Open Access

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 paperConference paper

Open Access
34 Citations (Scopus)
Open Access
9 Citations (Scopus)

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

39 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 journalArticle

12 Citations (Scopus)

Robust realtime feature detection in raw 3D face images

Mian, A., Jan 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV 2011) . United States: IEEE, Institute of Electrical and Electronics Engineers, p. 220-226

Research output: Chapter in Book/Conference paperConference paper

6 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 journalArticle

12 Citations (Scopus)

Repeated constrained sparse coding with partial dictionaries for hyperspectral unmixing

Akhtar, N., Shafait, F. & Mian, A., 2014, 2014 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, Institute of Electrical and Electronics Engineers, p. 953-960

Research output: Chapter in Book/Conference paperConference paper

13 Citations (Scopus)

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)

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)

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
52 Citations (Scopus)

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

80 Citations (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 journalArticle

Open Access
File
12 Citations (Scopus)
541 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 journalArticle

Open Access
File
4 Citations (Scopus)
227 Downloads (Pure)

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

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

Research output: Contribution to journalArticle

16 Citations (Scopus)
Open Access
File
70 Citations (Scopus)
695 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 paperConference paper

Open Access
File
501 Downloads (Pure)
1 Citation (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 conferenceAbstract

7 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 publicationArticle

9 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 journalArticle

Open Access
16 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 journalArticle

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 journalArticle

Open Access
File
18 Citations (Scopus)
410 Downloads (Pure)

Perceptual Differences between Men and Women: A 3D Facial Morphometric Perspective

Gilani, Z. & Mian, A., 2014, Proceedings -22nd International Conference on Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 2413-2418 6977130

Research output: Chapter in Book/Conference paperConference paper

Open Access
File
9 Citations (Scopus)
391 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 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)