6 citations · 7 across the 12 of their papers we have counts for
3 papers · 1 filter
PEFT-DML: Parameter-Efficient Fine-Tuning Deep Metric Learning for Robust Multi-Modal 3D Object Detection in Autonomous Driving
Abdolazim Rezaei, Mehdi Sookhak
This study introduces PEFT-DML, a parameter-efficient deep metric learning framework for robust multi-modal 3D object detection in autonomous driving. Unlike conventional models th…
RL-MoE: An Image-Based Privacy Preserving Approach In Intelligent Transportation System
Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh Haghparast
The proliferation of AI-powered cameras in Intelligent Transportation Systems (ITS) creates a severe conflict between the need for rich visual data and the right to privacy. Existi…
Privacy-Preserving in Connected and Autonomous Vehicles Through Vision to Text Transformation
Abdolazim Rezaei, Mehdi Sookhak, Ahmad Patooghy +2
Intelligent Transportation Systems (ITS) rely on a variety of devices that frequently process privacy-sensitive data. Roadside units are important because they use AI-equipped came…