1 code implementation • 31 Mar 2023 • Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay, Justin Miller
In order to minimize false collision warnings, in our multi-step framework, first, the large animal is accurately detected and a preliminary risk level is predicted for it and low-risk animals are discarded.
no code implementations • 2 Mar 2023 • Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce Farrell, Brian A Wandell
The simulation can be used to characterize system performance or to test its performance under conditions that are difficult to measure (e. g., nighttime for automotive perception systems).
no code implementations • 30 Aug 2019 • Alireza Rahimpour, Sujitha Martin, Ashish Tawari, Hairong Qi
In this paper, we propose a novel architecture for road-user importance estimation which takes advantage of the local and global context of the scene.
1 code implementation • ICCV 2019 • Zhibo Wang, Siyan Zheng, Mengkai Song, Qian Wang, Alireza Rahimpour, Hairong Qi
The results demonstrate that deep re-ID systems are vulnerable to our physical attacks.
no code implementations • 24 Jun 2018 • 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-identification through meta-learning.
no code implementations • 23 Jul 2017 • Alireza Rahimpour, Liu Liu, Ali Taalimi, Yang song, Hairong Qi
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 view angle, human pose, and illumination are involved.
no code implementations • 30 May 2017 • Ali Taalimi, Alireza Rahimpour, Liu Liu, Hairong Qi
Nowadays, distributed smart cameras are deployed for a wide set of tasks in several application scenarios, ranging from object recognition, image retrieval, and forensic applications.
no code implementations • 15 Mar 2017 • Liu Liu, Alireza Rahimpour, Ali Taalimi, Hairong Qi
Furthermore, in the effort of handling multilabel images, we design a joint cross entropy loss that includes both softmax cross entropy and weighted binary cross entropy in consideration of the correlation and independence of labels, respectively.
no code implementations • 19 Dec 2016 • Alireza Rahimpour, Ali Taalimi, Hairong Qi
Distributed surveillance systems have become popular in recent years due to security concerns.