1 code implementation • 7 Jan 2024 • Ali Samadzadeh, Mohammad Hassan Mojab, Heydar Soudani, Seyed Hesamoddin Mireshghollah, Ahmad Nickabadi
Visual Inertial Odometry (VIO) algorithms estimate the accurate camera trajectory by using camera and Inertial Measurement Unit (IMU) sensors.
no code implementations • 25 Sep 2023 • Najmeh Mohammadbagheri, Fardin Ayar, Ahmad Nickabadi, Reza Safabakhsh
Semantic facial attribute editing using pre-trained Generative Adversarial Networks (GANs) has attracted a great deal of attention and effort from researchers in recent years.
no code implementations • 25 Aug 2023 • Mohammad Javad Rajabi, Morteza Mirzai, Ahmad Nickabadi
Visual place recognition tasks often encounter significant challenges in landmark detection due to the presence of irrelevant objects such as humans, cars, and trees, despite the remarkable progress achieved by previous models, especially in the context of transformers.
no code implementations • 21 May 2022 • Ahmad Nickabadi, Maryam Saeedi Fard, Nastaran Moradzadeh Farid, Najmeh Mohammadbagheri
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 models.
no code implementations • 14 Jan 2022 • Ali Samadzadeh, Ahmad Nickabadi
In this paper, we have combined geometric and DNN-based methods to have the generality and speed of geometric SLAM frameworks and overcome most of these challenging conditions with the help of DNNs and deliver the most robust framework so far.
no code implementations • 10 Jan 2022 • Mohammad Hossein Khojaste, Nastaran Moradzadeh Farid, Ahmad Nickabadi
Generative adversarial networks (GANs) are shown to be very powerful in generating face images in high diversity and also in editing face images.
no code implementations • 23 Oct 2021 • 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.
1 code implementation • 5 Sep 2021 • Amir Mohammad Rostami, Mohammad Mehdi Homayounpour, Ahmad Nickabadi
Many endeavors have sought to develop countermeasure techniques as enhancements on Automatic Speaker Verification (ASV) systems, in order to make them more robust against spoof attacks.
Ranked #1 on Spoof Detection on ASVspoof 2019 - LA
no code implementations • 22 Jul 2020 • 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 to automated border control (ABC).
1 code implementation • 7 Jul 2020 • Marzieh Heidari, Mehdi Ghatee, Ahmad Nickabadi, Arash Pourhasan Nezhad
We show that the proposed captioning model can generate a diverse and stylized image captions without the necessity of extra-labeling.
1 code implementation • 27 Mar 2020 • Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi, Ahmad Nickabadi, Morteza Haghir Chehreghani
Spiking neural networks (SNNs) can be used in low-power and embedded systems (such as emerging neuromorphic chips) due to their event-based nature.
Ranked #1 on Image Classification on N-MNIST
no code implementations • CVPR 2019 • Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi, Alexandre Alahi
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 relations between individual persons in image or video.
no code implementations • 26 Dec 2018 • 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.
no code implementations • 24 Sep 2018 • Sina Mokhtarzadeh Azar, Sajjad Azami, Mina Ghadimi Atigh, Mohammad Javadi, Ahmad Nickabadi
The overwhelming popularity of social media has resulted in bulk amounts of personal photos being uploaded to the internet every day.
no code implementations • 20 Dec 2013 • Mohammad Pezeshki, Sajjad Gholami, Ahmad Nickabadi
Data representation is an important pre-processing step in many machine learning algorithms.