132 citations · 145 across the 10 of their papers we have counts for
10 papers
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…
Multi-View Task-Driven Recognition in Visual Sensor Networks
Ali Taalimi, Alireza Rahimpour, Liu Liu +1
Nowadays, distributed smart cameras are deployed for a wide set of tasks in several application scenarios, ranging from object recognition, image retrieval, and forensic applicatio…
Non-Intrusive Energy Disaggregation Using Non-negative Matrix Factorization with Sum-to-k Constraint
Alireza Rahimpour, Hairong Qi, David Fugate +1
Energy disaggregation or Non-Intrusive Load Monitoring (NILM) addresses the issue of extracting device-level energy consumption information by monitoring the aggregated signal at o…
End-to-end Binary Representation Learning via Direct Binary Embedding
Liu Liu, Alireza Rahimpour, Ali Taalimi +1
Learning binary representation is essential to large-scale computer vision tasks. Most existing algorithms require a separate quantization constraint to learn effective hashing fun…
Feature Encoding in Band-limited Distributed Surveillance Systems
Alireza Rahimpour, Ali Taalimi, Hairong Qi
Distributed surveillance systems have become popular in recent years due to security concerns. However, transmitting high dimensional data in bandwidth-limited distributed systems…