activity
20182020
most citedA Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition

19 citations · 24 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Adversarial Attacks against Face Recognition: A Comprehensive Study

Fatemeh Vakhshiteh, Ahmad Nickabadi, Raghavendra Ramachandra

Face recognition (FR) systems have demonstrated outstanding verification performance, suggesting suitability for real-world applications ranging from photo tagging in social media…

cs.CV2020

Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction

Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi +2

Spiking neural networks (SNNs) can be used in low-power and embedded systems (such as emerging neuromorphic chips) due to their event-based nature. Also, they have the advantage of…

cs.CV20195 cited

Convolutional Relational Machine for Group Activity Recognition

Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi +1

We present an end-to-end deep Convolutional Neural Network called Convolutional Relational Machine (CRM) for recognizing group activities that utilizes the information in spatial r…

cs.CV201819 cited

A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition

Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi

In this work, we present a framework based on multi-stream convolutional neural networks (CNNs) for group activity recognition. Streams of CNNs are separately trained on different…

cs.CV2018

Zoom-RNN: A Novel Method for Person Recognition Using Recurrent Neural Networks

Sina Mokhtarzadeh Azar, Sajjad Azami, Mina Ghadimi Atigh +2

The overwhelming popularity of social media has resulted in bulk amounts of personal photos being uploaded to the internet every day. Since these photos are taken in unconstrained…