86 citations · 186 across the 33 of their papers we have counts for
4 papers · 1 filter
A Comprehensive Survey On Client Selections in Federated Learning
Ala Gouissem, Zina Chkirbene, Ridha Hamila
Federated Learning (FL) is a rapidly growing field in machine learning that allows data to be trained across multiple decentralized devices. The selection of clients to participate…
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…