9 papers · 1 filter
FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving
Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay +1
The performance of the current collision avoidance systems in Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS) can be drastically affected by low light and ad…
Using simulation to quantify the performance of automotive perception systems
Zhenyi Liu, Devesh Shah, Alireza Rahimpour +3
The design and evaluation of complex systems can benefit from a software simulation - sometimes called a digital twin. The simulation can be used to characterize system performance…
Context Aware Road-user Importance Estimation (iCARE)
Alireza Rahimpour, Sujitha Martin, Ashish Tawari +1
Road-users are a critical part of decision-making for both self-driving cars and driver assistance systems. Some road-users, however, are more important for decision-making than ot…
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
Zhibo Wang, Siyan Zheng, Mengkai Song +3
Person re-identification (re-ID) is the task of matching person images across camera views, which plays an important role in surveillance and security applications. Inspired by gre…
Attention-based Few-Shot Person Re-identification Using Meta Learning
Alireza Rahimpour, Hairong Qi
In this paper, we investigate the challenging task of person re-identification from a new perspective and propose an end-to-end attention-based architecture for few-shot re-identif…
Person Re-identification Using Visual Attention
Alireza Rahimpour, Liu Liu, Ali Taalimi +2
Despite recent attempts for solving the person re-identification problem, it remains a challenging task since a person's appearance can vary significantly when large variations in…