activity
20182022
most citedA Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition

19 citations · 35 across the 6 of their papers we have counts for

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9 papers · 1 filter

cs.CV2025

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model

Omid Saghatchian, Atiyeh Gh. Moghadam, Ahmad Nickabadi

Diffusion models have emerged as a promising approach for generating high-quality, high-dimensional images. Nevertheless, these models are hindered by their high computational cost…

cs.CV20228 cited

A comprehensive survey on semantic facial attribute editing using generative adversarial networks

Ahmad Nickabadi, Maryam Saeedi Fard, Nastaran Moradzadeh Farid +1

Generating random photo-realistic images has experienced tremendous growth during the past few years due to the advances of the deep convolutional neural networks and generative mo…

cs.CV2022

GMFIM: A Generative Mask-guided Facial Image Manipulation Model for Privacy Preservation

Mohammad Hossein Khojaste, Nastaran Moradzadeh Farid, Ahmad Nickabadi

The use of social media websites and applications has become very popular and people share their photos on these networks. Automatic recognition and tagging of people's photos on t…

cs.CV20212 cited

Face sketch to photo translation using generative adversarial networks

Nastaran Moradzadeh Farid, Maryam Saeedi Fard, Ahmad Nickabadi

Translating face sketches to photo-realistic faces is an interesting and essential task in many applications like law enforcement and the digital entertainment industry. One of the…

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…