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  • 2019
  • 2018
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  • Ajmal Mian
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

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)
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

2016

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)
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)
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)
2018

Viewpoint Invariant RGB-D Human Action Recognition

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

Research output: Contribution to journalArticle

Open Access

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

6 Citations (Scopus)
2019

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.

Research output: Contribution to journalArticle

3 Citations (Scopus)
2017

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
417 Downloads (Pure)
2019

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
248 Downloads (Pure)

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
9 Citations (Scopus)
328 Downloads (Pure)
2017

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

34 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

8 Citations (Scopus)
2018
4 Citations (Scopus)
2017

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)
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

71 Citations (Scopus)
2016

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

27 Citations (Scopus)
2017

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 journalArticle

12 Citations (Scopus)
2016

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 paperConference paper

23 Citations (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)
2016

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

11 Citations (Scopus)
2019

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
2018

3D Face Reconstruction from Light Field Images: A Model-free Approach

Feng, M., Gilani, S. Z., Wang, Y. & Mian, A., 8 Sep 2018, European Conference on Computer Vision. Ferrari, V., Hebert, M., Sminchisescu, C. & Weiss, Y. (eds.). Springer, Vol. 11214. p. 508-526

Research output: Chapter in Book/Conference paperConference paper

Open Access
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

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

8 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 journalArticle

13 Citations (Scopus)
2018

Accuracy of orthognathic surgery using 3D computer-assisted surgical simulation

Lee, R., Goonewardene, M., Mian, A., Allan, B., Brock, D. & Trevenen, M., 1 May 2018, In : Australasian orthodontic journal. 34, 1, p. 17-26 10 p.

Research output: Contribution to journalArticle

Open Access
2019
2 Citations (Scopus)
2017

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

9 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 journalEditorial

2016

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)
2017
Open Access
File
21 Citations (Scopus)
374 Downloads (Pure)
2016

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

30 Citations (Scopus)
2017

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
10 Citations (Scopus)
447 Downloads (Pure)
2016

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 journalArticle

22 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

34 Citations (Scopus)

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
18 Citations (Scopus)
2016

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

66 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

Open Access
13 Citations (Scopus)
2017

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 journalArticle

21 Citations (Scopus)
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
3 Citations (Scopus)
210 Downloads (Pure)

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

21 Citations (Scopus)
10 Downloads (Pure)
2017

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)
2016

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

74 Citations (Scopus)
2017

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)
2018

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)
2016

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)
2019

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

1 Citation (Scopus)

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

2 Citations (Scopus)