Ajmal Mian

Search results

• 2021

  Defense-Friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty

  Pestana, C., Liu, W., Glance, D. & Mian, A., 5 Jan 2021, Conference Proceedings 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, Institute of Electrical and Electronics Engineers, p. 556-565 10 p.

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

  Open Access

  File
  10 Downloads (Pure)
• 2020

  Anchored vertex exploration for community engagement in social networks

  Cai, T., Li, J., Hasan Haldar, N. A., Mian, A., Yearwood, J. & Sellis, T., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE, Institute of Electrical and Electronics Engineers, p. 409-420 12 p. 9101364. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

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

  • Costs
  • Experiments
  1 Citation (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 paper › Conference paper

  • Network architecture
  • Invariance
  • Neurons
  • Machine learning
  • Neural networks
  15 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
• 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 paper › Conference paper

  • Neural networks
  • Crops
  • Experiments

• 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 paper › Conference paper

  • Feature extraction
  • Classifiers
  • Semantics
  1 Citation (Scopus)

• 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 paper › Conference paper

  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 paper › Conference paper

  Open Access

  File

  • Semantics
  • Neural networks
  • Fourier transforms
  • Computer vision
  • Detectors
  21 Citations (Scopus)

  561 Downloads (Pure)
• 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 paper › Conference paper

  Open Access

  • Lighting
  • Cameras
  • Geometry
  1 Citation (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 paper › Conference paper

  Open Access

  • Deep learning
  • Labels
  • Detectors
  • Classifiers
  • Discrete cosine transforms
  39 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 paper › Conference paper

  • Social Networks
  • Gages
  • Diffusion Model
  • Query
  • Interaction
  7 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
  40 Citations (Scopus)

  735 Downloads (Pure)
• 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 paper › Conference paper

  • Hyperspectral imaging
  • Pixels
  • Ink
  • Color
  3 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 paper › Conference paper

  • Glossaries
  • Classifiers
  • Atoms
  • Labels
  • Object recognition
  12 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
  15 Citations (Scopus)

• 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
  625 Downloads (Pure)

• 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)
• 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 paper › Conference paper

  • Labels
  • Data acquisition
  • Tuning
  • Neural networks
  • Experiments
  88 Citations (Scopus)

• 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 paper › Conference paper

  • Object recognition
  • Deep learning
  • Neurons
  • Chemical activation
  • Computer vision
  23 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 paper › Conference paper

  • Image resolution
  • Image fusion
  • Cameras
  • Computer hardware
  • Experiments
  24 Citations (Scopus)

  10 Downloads (Pure)

• 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)

• 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)
• 2015

  Automatic 4D facial expression recognition using DCT features

  Xue, M., Mian, A., Liu, W. & Li, L., 2015, 2015 IEEE Winter Conference on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 199-206

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

  • Discrete cosine transforms
  • Feature extraction
  • Classifiers
  • Experiments
  18 Citations (Scopus)

• Bayesian sparse representation for hyperspectral image super resolution

  Akhtar, N., Shafait, F. & Mian, A., 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3631-3640

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

  • Optical resolving power
  • Image resolution
  • Hyperspectral imaging
  • Electric fuses
  • Glossaries
  112 Citations (Scopus)

• Comparison of multidirectional representations for multispectral palmprint recognition

  Khan, Z., Shafait, F. & Mian, A., 2015, Computational Forensics. Springer, Vol. 8915. p. 44-54

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

  • Palmprint recognition
  • Biometrics
  • Infrared radiation
  • Experiments

• 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 paper › Conference paper

• 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
  82 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)

• 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
  15 Citations (Scopus)

• 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)

• 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)

• 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
• 2014

  Action classification with locality-constrained linear coding

  Rahmani, H., Mahmood, A., Huynh, D. & Mian, A., 2014, Proceedings - International Conference on Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 3511-3516

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

  • Logistics
  • Classifiers
  19 Citations (Scopus)

• 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 paper › Conference paper
  3 Citations (Scopus)

• 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 paper › Conference paper

  • fish
  • detection
  • video
  • underwater environment
  • principal component analysis

• 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 paper › Conference paper

  • Geometry
  • Adaptive boosting
  • Human computer interaction
  • Redundancy
  • Textures
  11 Citations (Scopus)

• 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 paper › Conference paper

  • Feature extraction
  • Pattern recognition
  • Computer vision
  • Classifiers
  • Set theory
  3 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 paper › Conference paper

  • Detectors
  87 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 paper › Conference paper
  3 Citations (Scopus)

• 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 paper › Conference paper

  Open Access

  File

  • Experiments
  9 Citations (Scopus)

  413 Downloads (Pure)

• 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 paper › Conference paper
  82 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 paper › Conference paper

  • Glossaries
  • Face recognition
  • Set theory
  • Computer simulation
  • Discriminant analysis
  2 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 paper › Conference paper

  • Glossaries
  • Derivatives
  • Remote sensing
  • Signal to noise ratio
  • Pixels
  13 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 paper › Conference paper

  • Clustering algorithms
  • Set theory
  • Eigenvalues and eigenfunctions
  • Probability distributions
  • Labels
  40 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 paper › Conference paper

  • Hyperspectral imaging
  • Spectral resolution
  • Optical resolving power
  • Image resolution
  • Imaging systems
  130 Citations (Scopus)

  10 Downloads (Pure)

• 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 paper › Conference paper

  • Approximation algorithms
  • Pixels
  • Remote sensing
  • Personnel
  • Sensors
  13 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 paper › Conference paper

  • Proteins
  • Set theory
  1 Citation (Scopus)
• 2013

  3D face recognition using topographic high-order derivatives

  Cheraghian, A., Hajati, F., Mian, A., Yongsheng, G. & Gheisari, S., 2013, Proceedings of 20th IEEE International Conference on Image Processing (ICIP), 2013. Australia: IEEE, Institute of Electrical and Electronics Engineers, p. 3705-3709

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

  Open Access

  File

  • Face recognition
  • Derivatives
  • Topography
  270 Downloads (Pure)

• A Compact Discriminative Representation for Efficient Image-set Classification with Application to Biometric Recognition

  Uzair, M., Mahmood, A., Mian, A. & Mcdonald, C., Jun 2013, Proceedings of the 2013 International Conference on Biometrics (ICB). Madrid, Spain: IEEE, Institute of Electrical and Electronics Engineers, p. 1-8

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

  Open Access

  File

  • Covariance matrix
  • Biometrics
  • Discriminant analysis
  • Face recognition
  • Decomposition
  12 Citations (Scopus)

  392 Downloads (Pure)

• A review of techniques for the identification and measurement of fish in underwater stereo-video image sequences

  Shortis, M. R., Ravanbakhsh, M., Shafait, F., Harvey, E., Mian, A., Seager, J. W., Culverhouse, P. F., Cline, D. E. & Edgington, D. R., 2013, Proceedings of SPIE, Videometrics, Range Imging, and Applications XII; and automated Visual Inspection. United States: S P I E - International Society for Optical Engineering, Vol. 8791. p. 8791 0G 1 - 10

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