115 citations · 185 across the 16 of their papers we have counts for
17 papers
Detection and Localization of Firearm Carriers in Complex Scenes for Improved Safety Measures
Arif Mahmood, Abdul Basit, M. Akhtar Munir +1
Detecting firearms and accurately localizing individuals carrying them in images or videos is of paramount importance in security, surveillance, and content customization. However,…
Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis
Nazar Khan, Arbish Akram, Arif Mahmood +2
Compared to facial expression recognition, expression synthesis requires a very high-dimensional mapping. This problem exacerbates with increasing image sizes and limits existing e…
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin +1
Anomalous event detection in surveillance videos is a challenging and practical research problem among image and video processing community. Compared to the frame-level annotations…
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
Muhammad Saad Saeed, Shah Nawaz, Pietro Morerio +4
Recent years have seen a surge in finding association between faces and voices within a cross-modal biometric application along with speaker recognition. Inspired from this, we int…
Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals
Shah Nawaz, Muhammad Kamran Janjua, Ignazio Gallo +2
We propose a novel deep training algorithm for joint representation of audio and visual information which consists of a single stream network (SSNet) coupled with a novel loss func…
Do Cross Modal Systems Leverage Semantic Relationships?
Shah Nawaz, Muhammad Kamran Janjua, Ignazio Gallo +3
Current cross-modal retrieval systems are evaluated using R@K measure which does not leverage semantic relationships rather strictly follows the manually marked image text query pa…
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization
Javed Iqbal, Muhammad Akhtar Munir, Arif Mahmood +2
Automatic detection of firearms is important for enhancing the security and safety of people, however, it is a challenging task owing to the wide variations in shape, size, and app…
Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends
Mustansar Fiaz, Arif Mahmood, Sajid Javed +1
In recent years visual object tracking has become a very active research area. An increasing number of tracking algorithms are being proposed each year. It is because tracking has…
Unsupervised RGBD Video Object Segmentation Using GANs
Maryam Sultana, Arif Mahmood, Sajid Javed +1
Video object segmentation is a fundamental step in many advanced vision applications. Most existing algorithms are based on handcrafted features such as HOG, super-pixel segmentati…
Unsupervised Deep Context Prediction for Background Foreground Separation
Maryam Sultana, Arif Mahmood, Sajid Javed +1
In many advanced video based applications background modeling is a pre-processing step to eliminate redundant data, for instance in tracking or video surveillance applications. Ove…
Tracking Noisy Targets: A Review of Recent Object Tracking Approaches
Mustansar Fiaz, Arif Mahmood, Soon Ki Jung
Visual object tracking is an important computer vision problem with numerous real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-bas…
Comparative Study of ECO and CFNet Trackers in Noisy Environment
Mustansar Fiaz, Sajid Javed, Arif Mahmood +1
Object tracking is one of the most challenging task and has secured significant attention of computer vision researchers in the past two decades. Recent deep learning based tracker…
Action Classification with Locality-constrained Linear Coding
Hossein Rahmani, Arif Mahmood, Du Huynh +1
We propose an action classification algorithm which uses Locality-constrained Linear Coding (LLC) to capture discriminative information of human body variations in each spatiotempo…
HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition
Hossein Rahmani, Arif Mahmood, Du Q. Huynh +1
Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which change significantly with viewpoint. In co…
Histogram of Oriented Principal Components for Cross-View Action Recognition
Hossein Rahmani, Arif Mahmood, Du Huynh +1
Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which are viewpoint dependent. In contrast, we d…
Optimizing Auto-correlation for Fast Target Search in Large Search Space
Arif Mahmood, Ajmal Mian, Robyn Owens
In remote sensing image-blurring is induced by many sources such as atmospheric scatter, optical aberration, spatial and temporal sensor integration. The natural blurring can be ex…
Semi-supervised Spectral Clustering for Classification
Arif Mahmood, Ajmal S. Mian
We propose a Classification Via Clustering (CVC) algorithm which enables existing clustering methods to be efficiently employed in classification problems. In CVC, training and tes…