62 citations · 70 across the 15 of their papers we have counts for
15 papers
Accelerating Deep Learning with Fixed Time Budget
Muhammad Asif Khan, Ridha Hamila, Hamid Menouar
The success of modern deep learning is attributed to two key elements: huge amounts of training data and large model sizes. Where a vast amount of data allows the model to learn mo…
Haris: an Advanced Autonomous Mobile Robot for Smart Parking Assistance
Layth Hamad, Muhammad Asif Khan, Hamid Menouar +2
This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition. The system employs…
Multimodal Crowd Counting with Pix2Pix GANs
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
Most state-of-the-art crowd counting methods use color (RGB) images to learn the density map of the crowd. However, these methods often struggle to achieve higher accuracy in dense…
Curriculum for Crowd Counting -- Is it Worthy?
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
Recent advances in deep learning techniques have achieved remarkable performance in several computer vision problems. A notably intuitive technique called Curriculum Learning (CL)…
Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
Visual crowd counting estimates the density of the crowd using deep learning models such as convolution neural networks (CNNs). The performance of the model heavily relies on the q…
Visual Crowd Analysis: Open Research Problems
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
Over the last decade, there has been a remarkable surge in interest in automated crowd monitoring within the computer vision community. Modern deep-learning approaches have made it…
LCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation…
Drones-aided Asset Maintenance in Hospitals
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
The rapid outbreak of COVID-19 pandemic invoked scientists and researchers to prepare the world for future disasters. During the pandemic, global authorities on healthcare urged th…
Unauthorized Drone Detection: Experiments and Prototypes
Muhammad Asif Khan, Hamid Menouar, Osama Muhammad Khalid +1
The increase in the number of unmanned aerial vehicles a.k.a. drones pose several threats to public privacy, critical infrastructure and cyber security. Hence, detecting unauthoriz…
CLIP: Train Faster with Less Data
Muhammad Asif Khan, Ridha Hamila, Hamid Menouar
Deep learning models require an enormous amount of data for training. However, recently there is a shift in machine learning from model-centric to data-centric approaches. In data-…
Crowd Density Estimation using Imperfect Labels
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
Density estimation is one of the most widely used methods for crowd counting in which a deep learning model learns from head-annotated crowd images to estimate crowd density in uns…
DroneNet: Crowd Density Estimation using Self-ONNs for Drones
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
Video surveillance using drones is both convenient and efficient due to the ease of deployment and unobstructed movement of drones in many scenarios. An interesting application of…
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives
Muhammad Asif Khan, Hamid Menouar, Ridha Hamila
Crowd counting is an effective tool for situational awareness in public places. Automated crowd counting using images and videos is an interesting yet challenging problem that has…
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention
Wei Shao, Zhiling Jin, Shuo Wang +6
Many real-world ubiquitous applications, such as parking recommendations and air pollution monitoring, benefit significantly from accurate long-term spatio-temporal forecasting (LS…
An Improved Dilated Convolutional Network for Herd Counting in Crowded Scenes
Soufien Hamrouni, Hakim Ghazzai, Hamid Menouar +1
Crowd management technologies that leverage computer vision are widespread in contemporary times. There exists many security-related applications of these methods, including, but n…