activity
20182022
most citedUnsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

216 citations · 223 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV20221 cited

Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach

Wadii Boulila, Adel Ammar, Bilel Benjdira +1

Deep learning (DL) is being increasingly utilized in healthcare-related fields due to its outstanding efficiency. However, we have to keep the individual health data used by DL mod…

cs.CV20205 cited

DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet Architecture

Alam Noor, Bilel Benjdira, Adel Ammar +1

Aggressive driving (i.e., car drifting) is a dangerous behavior that puts human safety and life into a significant risk. This behavior is considered as an anomaly concerning the re…

cs.CV2019

Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning

Anis Koubaa, Adel Ammar, Bilel Benjdira +6

In the Muslim community, the prayer (i.e. Salat) is the second pillar of Islam, and it is the most essential and fundamental worshiping activity that believers have to perform five…

cs.CV2019216 cited

Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

Bilel Benjdira, Yakoub Bazi, Anis Koubaa +1

Segmenting aerial images is being of great potential in surveillance and scene understanding of urban areas. It provides a mean for automatic reporting of the different events that…

cs.RO20181 cited

Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

Bilel Benjdira, Taha Khursheed, Anis Koubaa +2

Unmanned Aerial Vehicles are increasingly being used in surveillance and traffic monitoring thanks to their high mobility and ability to cover areas at different altitudes and loca…