8 citations · 17 across the 8 of their papers we have counts for
10 papers
Lightweight Delivery Detection on Doorbell Cameras
Pirazh Khorramshahi, Zhe Wu, Tianchen Wang +2
Despite recent advances in video-based action recognition and robust spatio-temporal modeling, most of the proposed approaches rely on the abundance of computational resources to a…
Scalable Vehicle Re-Identification via Self-Supervision
Pirazh Khorramshahi, Vineet Shenoy, Rama Chellappa
As Computer Vision technologies become more mature for intelligent transportation applications, it is time to ask how efficient and scalable they are for large-scale and real-time…
Scalable and Real-time Multi-Camera Vehicle Detection, Re-Identification, and Tracking
Pirazh Khorramshahi, Vineet Shenoy, Michael Pack +1
Multi-camera vehicle tracking is one of the most complicated tasks in Computer Vision as it involves distinct tasks including Vehicle Detection, Tracking, and Re-identification. De…
Identification of Attack-Specific Signatures in Adversarial Examples
Hossein Souri, Pirazh Khorramshahi, Chun Pong Lau +2
The adversarial attack literature contains a myriad of algorithms for crafting perturbations which yield pathological behavior in neural networks. In many cases, multiple algorithm…
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue
Pirazh Khorramshahi, Hossein Souri, Rama Chellappa +1
Building on the success of deep learning, Generative Adversarial Networks (GANs) provide a modern approach to learn a probability distribution from observed samples. GANs are often…
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
Pirazh Khorramshahi, Neehar Peri, Jun-cheng Chen +1
In recent years, the research community has approached the problem of vehicle re-identification (re-id) with attention-based models, specifically focusing on regions of a vehicle c…
A Dual-Path Model With Adaptive Attention For Vehicle Re-Identification
Pirazh Khorramshahi, Amit Kumar, Neehar Peri +3
In recent years, attention models have been extensively used for person and vehicle re-identification. Most re-identification methods are designed to focus attention on key-point l…
Statistical Studies of Fading in Underwater Wireless Optical Channels in the Presence of Air Bubble, Temperature, and Salinity Random Variations (Long Version)
Mohammad Vahid Jamali, Ali Mirani, Alireza Parsay +6
Optical signal propagation through underwater channels is affected by three main degrading phenomena, namely absorption, scattering, and fading. In this paper, we experimentally st…
Mining DNA Sequences Based on Spatially Coded Technique Using Spatial Light Modulator
Masoome Fazelian, Sajjad AbdollahRamezani, Sima Bahrani +6
In this paper, we present an optical computing method for string data alignment applicable to genome information analysis. By applying moire technique to spatial encoding patterns…
Statistical Distribution of Intensity Fluctuations for Underwater Wireless Optical Channels in the Presence of Air Bubbles
Mohammad Vahid Jamali, Pirazh Khorramshahi, Arvin Tashakori +6
In this paper, we experimentally investigate the statistical distribution of intensity fluctuations for underwater wireless optical channels under different channel conditions, nam…