62 citations · 70 across the 15 of their papers we have counts for
7 papers · 1 filter
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…