activity
20202022
most citedStereotype-Free Classification of Fictitious Faces

6 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022

An Integrated Approach for Video Captioning and Applications

Soheyla Amirian, Thiab R. Taha, Khaled Rasheed +1

Physical computing infrastructure, data gathering, and algorithms have recently had significant advances to extract information from images and videos. The growth has been especial…

cs.CV2022

Generative Adversarial Network Applications in Creating a Meta-Universe

Soheyla Amirian, Thiab R. Taha, Khaled Rasheed +1

Generative Adversarial Networks (GANs) are machine learning methods that are used in many important and novel applications. For example, in imaging science, GANs are effectively ut…

cs.CV2021

Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning

Soheyla Amirian, Khaled Rasheed, Thiab R. Taha +1

Over the last decade, the use of Deep Learning in many applications produced results that are comparable to and in some cases surpassing human expert performance. The application d…

cs.CV2021

The Use of Video Captioning for Fostering Physical Activity

Soheyla Amirian, Abolfazl Farahani, Hamid R. Arabnia +2

Video Captioning is considered to be one of the most challenging problems in the field of computer vision. Video Captioning involves the combination of different deep learning mode…

cs.CV20206 cited

Stereotype-Free Classification of Fictitious Faces

Mohammadhossein Toutiaee, Soheyla Amirian, John A. Miller +1

Equal Opportunity and Fairness are receiving increasing attention in artificial intelligence. Stereotyping is another source of discrimination, which yet has been unstudied in lite…