A. Mahmood
Publications
112
h-index
23
Citations
1,805
Highly Influential Citations
105
Author pages are created from data sourced from our academic publisher partnerships and public sources.
Publications
Influence
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Histogram of Oriented Principal Components for Cross-View Action Recognition
H. Rahmani, A. Mahmood, D. Huynh, A. Mian
Computer Science, Medicine
IEEE Transactions on Pattern Analysis and Machine…
23 September 2014
TLDR
The histogram of oriented principal components (HOPC) descriptor is proposed that is robust to noise, viewpoint, scale and action speed variations and a global descriptor computed from the normalized spatio-temporal distribution of STKs in 4-D, which is referred to as STK-D. Expand
117 Citations
13
PDF
HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition
H. Rahmani, A. Mahmood, D. Huynh, A. Mian
Mathematics, Computer ScienceECCV
17 August 2014
TLDR
This work directly process the pointclouds and proposes a new technique for action recognition which is more robust to noise, action speed and viewpoint variations, and presents a novel method to detect Spatio-Temporal Key-Points (STKPs) in 3D pointcloud sequences. Expand
136 Citations
12
PDF
Hyperspectral Face Recognition With Spatiospectral Information Fusion and PLS Regression
M. Uzair, A. Mahmood, A. Mian
Computer Science, Medicine
IEEE Transactions on Image Processing
15 January 2015
TLDR
This work proposes a hyperspectral face recognition algorithm using a spatiospectral covariance for band fusion and partial least square regression for classification and performs band selection experiments to find the most discriminative bands in the visible and near infrared response spectrum. Expand
110 Citations
10
PDF
Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares
M. Uzair, A. Mahmood, A. Mian
Computer Science
BMVC

2013
TLDR
The three dimensional Discrete Cosine Transform (3D-DCT) is proposed for feature extraction and it is shown that compared to other transforms, such as the Fourier transform, the transformed coefficients are real and thus require less data to process. Expand
67 Citations
9
PDF
Real time action recognition using histograms of depth gradients and random decision forests
H. Rahmani, A. Mahmood, D. Huynh, A. Mian
Computer Science
IEEE Winter Conference on Applications of…
24 March 2014
TLDR
An algorithm which combines the discriminative information from depth images as well as from 3D joint positions to achieve high action recognition accuracy and outperform all other algorithms in accuracy and have a processing speed of over 112 frames/second is proposed. Expand
96 Citations
6
PDF
Subspace Based Network Community Detection Using Sparse Linear Coding
A. Mahmood, M. Small
Computer Science
IEEE Transactions on Knowledge and Data…
16 May 2016
TLDR
This paper presents a fundamentally different community detection algorithm based on the fact that each network community spans a different subspace in the geodesic space and each node can only be efficiently represented as a linear combination of nodes spanning the same subspace. Expand
30 Citations
6
PDF
Correlation-Coefficient-Based Fast Template Matching Through Partial Elimination
A. Mahmood, Sohaib Khan
Mathematics, Medicine
IEEE Transactions on Image Processing
1 April 2012
TLDR
It is shown that partial elimination techniques may be applied to a correlation coefficient by using a monotonic formulation, and this paper proposes basic-mode and extended-mode partial correlation elimination algorithms for fast template matching.Expand
92 Citations
5
PDF
Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble
H. Ullah, M. Uzair, A. Mahmood, M. Ullah, Sultan Daud Khan, F. A. Cheikh
Computer Science
IEEE Access

12 March 2019
TLDR
This work proposes an ensemble learning algorithm for automatically computing the most discriminative subset of EEG channels for internal emotion recognition and describes an EEG channel using kernel-based representations computed from the training EEG recordings. Expand
40 Citations
4
Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA
S. Javed, A. Mahmood, S. Al-Maadeed, T. Bouwmans, S. Jung
Computer Science, Medicine
IEEE Transactions on Image Processing
1 February 2019
TLDR
A spatiotemporal structured sparse RPCA algorithm for moving objects detection, where spatial and temporal regularization is imposed on the sparse component in the form of graph Laplacians, and an online optimization algorithm for real-time applications is proposed. Expand
50 Citations
3
Motion-Aware Graph Regularized RPCA for background modeling of complex scenes
S. Javed, S. Jung, A. Mahmood, T. Bouwmans
Mathematics, Computer Science
23rd International Conference on Pattern…
1 December 2016
TLDR
A motion-aware regularization of graphs on low-rank component for video background modeling and uses linearized alternating direction method with parallel splitting and adaptive penalty to incorporate the preceding steps to recover the model of the background. Expand
34 Citations
3
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